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  1. bandit_ensemble_cvar/README.md +40 -0
  2. bandit_ensemble_cvar/active_loop_log.jsonl +0 -0
  3. bandit_ensemble_cvar/oracle_progress.csv +322 -0
  4. bandit_ensemble_cvar/results.json +0 -0
  5. bandit_ensemble_cvar_rerun/active_loop_log.jsonl +224 -0
  6. bandit_ensemble_cvar_rerun/results.json +0 -0
  7. bandit_global_cvar/README.md +39 -0
  8. bandit_global_cvar/active_loop_log.jsonl +288 -0
  9. bandit_global_cvar/oracle_progress.csv +289 -0
  10. bandit_global_cvar/results.json +0 -0
  11. bandit_ts_cvar/active_loop_log.jsonl +285 -0
  12. bandit_ts_cvar/results.json +0 -0
  13. bandit_ts_upper_cvar/active_loop_log.jsonl +285 -0
  14. beam_cvar/README.md +23 -0
  15. beam_cvar/active_loop_log.jsonl +0 -0
  16. beam_fa_logged/oracle_timeline.jsonl +0 -0
  17. beam_search_fa_old/README.md +17 -0
  18. beam_search_fa_old/metrics.json +25 -0
  19. beam_search_fa_old/oracle_timeline.jsonl +100 -0
  20. beam_search_fa_old/samples.csv +101 -0
  21. beam_surrogate/README.md +14 -0
  22. beam_surrogate/results.json +51 -0
  23. ddpp_cvar_batch/README.md +20 -0
  24. ddpp_cvar_batch/ckpt_sweep.log +1 -0
  25. ddpp_cvar_batch/collected_molecules.csv +0 -0
  26. ddpp_cvar_batch/results.json +53 -0
  27. ddpp_lb_nocvar/README.md +13 -0
  28. ddpp_lb_nocvar/ckpt_sweep/sweep_results.json +418 -0
  29. ddpp_lb_nocvar/collected_molecules.csv +0 -0
  30. ddpp_lb_nocvar/results.json +54 -0
  31. mcts_cvar/README.md +23 -0
  32. mcts_fa_guided/oracle_timeline.jsonl +0 -0
  33. mcts_fa_guided/results.json +11 -0
  34. mcts_fa_logged/oracle_timeline.jsonl +0 -0
  35. mcts_pure_fa/README.md +13 -0
  36. mcts_pure_fa/metrics.json +22 -0
  37. mcts_pure_fa/oracle_timeline.jsonl +0 -0
  38. mcts_pure_fa/samples.csv +0 -0
  39. mcts_surrogate_frozen/README.md +13 -0
  40. mcts_surrogate_frozen/metrics.json +15 -0
  41. mcts_surrogate_frozen/oracle_timeline.jsonl +0 -0
  42. mcts_surrogate_frozen/samples.csv +1701 -0
  43. thompson_beam_cvar/oracle_progress.csv +197 -0
  44. thompson_beam_cvar/results.json +0 -0
  45. thompson_cvar/active_loop_log.jsonl +0 -0
  46. thompson_cvar/oracle_progress.csv +192 -0
  47. thompson_cvar/results.json +0 -0
  48. uncond_baseline/README.md +14 -0
  49. uncond_baseline/metrics.json +22 -0
  50. uncond_baseline/samples.csv +0 -0
bandit_ensemble_cvar/README.md ADDED
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+ # bandit_ensemble_cvar
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+
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+ ## Summary
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+ - **Best FA**: +1.0095
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+ - **Oracle calls**: 345
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+ - **Wall time**: 4 hours
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+ - **Epochs**: 321
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+
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+ ## Algorithm: Multi-Fidelity UCB Bandit (per-candidate uncertainty)
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+ Each epoch:
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+ 1. Generate M=500 candidates from DDPP model
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+ 2. Encode all with backbone → get per-candidate (μ_i, σ_i) from ensemble of 10 MLPs
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+ 3. Compute UCB_i = μ_i + z·σ_i (z=1.96)
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+ 4. Loop (up to K=25 oracle calls):
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+ - Evaluate candidate with highest UCB using FA oracle
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+ - Update best_fa_running
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+ - Eliminate: remove all candidates where μ_i + z·σ_i < best_fa_running
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+ 5. Fine-tune DDPP on all accumulated FA data (CVaR tau=80th pct, 50 gradient steps)
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+ 6. Retrain ensemble (10 MLPs, 100 epochs each) on all accumulated data
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+
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+ Key property: bandit naturally uses << K oracle calls when candidates are confidently mediocre.
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+ High-σ candidates (ensemble disagrees) survive elimination longer — exploration via uncertainty.
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+
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+ ## Config
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+ - selection: bandit_ensemble
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+ - M=500, K=25 (max calls/epoch), bandit_z=1.96
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+ - tau_mode=cvar, tau_quantile=0.80 (top 20% for DDPP reward)
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+ - reward_shift=3.0, beta=1.0, lr=5e-5, lr_logz=5e-4
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+ - n_ensemble=10, ensemble_epochs=100, ensemble_hidden=256
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+ - ddpp_steps_per_epoch=50, wall_budget_sec=14400 (4hr)
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+
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+ ## Files
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+ - active_loop_log.jsonl: epoch-level log (epoch, n_oracle_calls, f_star, rho, sigma, tau, epoch_fa_scores)
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+ - oracle_progress.csv: clean CSV of oracle_calls vs f_star progression (for plotting)
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+ - results.json: final summary (f_star, best_smiles, all_pairs, history)
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+
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+ ## Notes
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+ - Ran 321 epochs but only 345 total oracle calls (avg ~1.07 calls/epoch vs max 25)
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+ - Elimination kicks in aggressively once f_star gets high — ensemble confidently rules out bad candidates
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+ - This is the best result across all methods tested
bandit_ensemble_cvar/active_loop_log.jsonl ADDED
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bandit_ensemble_cvar/oracle_progress.csv ADDED
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21
+ {"epoch": 20, "f_star": -0.13727687299251556, "best_smiles": "O=C(c1ccc(Cl)c(Cl)c1)N1CCN(c2ccc(Cl)c(Cl)c2)CC1", "n_oracle_calls": 47, "mean_sigma": 0.011042936705052853, "spearman_rho": 0.9831920802501751, "tau": -0.3201936662197113, "elapsed_sec": 63.5277259349823, "epoch_fa_scores": [-0.13727687299251556]}
22
+ {"epoch": 21, "f_star": -0.13727687299251556, "best_smiles": "O=C(c1ccc(Cl)c(Cl)c1)N1CCN(c2ccc(Cl)c(Cl)c2)CC1", "n_oracle_calls": 48, "mean_sigma": 0.012643600814044476, "spearman_rho": 1.0, "tau": -0.3206791043281555, "elapsed_sec": 66.56290173530579, "epoch_fa_scores": [-0.3244299590587616]}
23
+ {"epoch": 22, "f_star": -0.13182485103607178, "best_smiles": "O=C(c1ccc(Cl)c(Cl)c1)N1CCN(c2ccc(Cl)c(Cl)c2)CC1", "n_oracle_calls": 49, "mean_sigma": 0.011947703547775745, "spearman_rho": 0.9372466978064098, "tau": -0.3196640729904175, "elapsed_sec": 66.75764060020447, "epoch_fa_scores": [-0.13182485103607178]}
24
+ {"epoch": 23, "f_star": -0.13182485103607178, "best_smiles": "O=C(c1ccc(Cl)c(Cl)c1)N1CCN(c2ccc(Cl)c(Cl)c2)CC1", "n_oracle_calls": 50, "mean_sigma": 0.011663929559290409, "spearman_rho": 0.9692233691951198, "tau": -0.31968615055084226, "elapsed_sec": 64.56993222236633, "epoch_fa_scores": [-0.45302000641822815]}
25
+ {"epoch": 24, "f_star": -0.13182485103607178, "best_smiles": "O=C(c1ccc(Cl)c(Cl)c1)N1CCN(c2ccc(Cl)c(Cl)c2)CC1", "n_oracle_calls": 51, "mean_sigma": 0.012946446426212788, "spearman_rho": 0.9969650916353059, "tau": -0.31959784030914307, "elapsed_sec": 69.49900889396667, "epoch_fa_scores": [-0.2083694338798523]}
26
+ {"epoch": 25, "f_star": -0.1175919622182846, "best_smiles": "O=C(c1ccc(Cl)c(Br)c1)N1CCN(c2ccc(Cl)c(Cl)c2)CC1", "n_oracle_calls": 52, "mean_sigma": 0.01228933222591877, "spearman_rho": 0.9939209163101398, "tau": -0.3195900201797485, "elapsed_sec": 66.43686723709106, "epoch_fa_scores": [-0.1175919622182846]}
27
+ {"epoch": 26, "f_star": -0.1175919622182846, "best_smiles": "O=C(c1ccc(Cl)c(Br)c1)N1CCN(c2ccc(Cl)c(Cl)c2)CC1", "n_oracle_calls": 53, "mean_sigma": 0.012174270115792751, "spearman_rho": 0.9999999999999999, "tau": -0.3192645192146301, "elapsed_sec": 63.664528608322144, "epoch_fa_scores": [-0.14007291197776794]}
28
+ {"epoch": 27, "f_star": -0.1175919622182846, "best_smiles": "O=C(c1ccc(Cl)c(Br)c1)N1CCN(c2ccc(Cl)c(Cl)c2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.014689382165670395, "spearman_rho": 0.9512371959778024, "tau": -0.3165928244590759, "elapsed_sec": 68.349764585495, "epoch_fa_scores": [-0.22991052269935608]}
29
+ {"epoch": 28, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 55, "mean_sigma": 0.011478749103844166, "spearman_rho": 0.9977246841962695, "tau": -0.3120943188667297, "elapsed_sec": 66.15534448623657, "epoch_fa_scores": [-0.03291958197951317]}
30
+ {"epoch": 29, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 56, "mean_sigma": 0.012021999806165695, "spearman_rho": 1.0, "tau": -0.30883628129959106, "elapsed_sec": 64.58434247970581, "epoch_fa_scores": [-0.22803212702274323]}
31
+ {"epoch": 30, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 57, "mean_sigma": 0.011564023792743683, "spearman_rho": 1.0, "tau": -0.30590091943740844, "elapsed_sec": 67.54902076721191, "epoch_fa_scores": [-0.2651244103908539]}
32
+ {"epoch": 31, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 58, "mean_sigma": 0.010763459838926792, "spearman_rho": 0.990909090909091, "tau": -0.291277402639389, "elapsed_sec": 65.22356867790222, "epoch_fa_scores": [-0.13395874202251434]}
33
+ {"epoch": 32, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 59, "mean_sigma": 0.013677551411092281, "spearman_rho": 0.990909090909091, "tau": -0.2752603352069854, "elapsed_sec": 71.27673530578613, "epoch_fa_scores": [-0.09717830270528793]}
34
+ {"epoch": 33, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 60, "mean_sigma": 0.013883446343243122, "spearman_rho": 0.9667265263069178, "tau": -0.2580816328525542, "elapsed_sec": 64.72520017623901, "epoch_fa_scores": [-0.13845255970954895]}
35
+ {"epoch": 34, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 61, "mean_sigma": 0.013095924630761147, "spearman_rho": 0.99124495269876, "tau": -0.22991052269935608, "elapsed_sec": 72.68680214881897, "epoch_fa_scores": [-0.21107372641563416]}
36
+ {"epoch": 35, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 62, "mean_sigma": 0.02050214447081089, "spearman_rho": 0.964636052973025, "tau": -0.2284078061580658, "elapsed_sec": 63.862805128097534, "epoch_fa_scores": [-0.13892723619937897]}
37
+ {"epoch": 36, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 63, "mean_sigma": 0.020673900842666626, "spearman_rho": 0.985970981680618, "tau": -0.21785708665847775, "elapsed_sec": 65.68691897392273, "epoch_fa_scores": [-0.12929563224315643]}
38
+ {"epoch": 37, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 64, "mean_sigma": 0.029912972822785378, "spearman_rho": 0.9912201988042226, "tau": -0.2099920094013214, "elapsed_sec": 69.00805640220642, "epoch_fa_scores": [-0.14964567124843597]}
39
+ {"epoch": 38, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 65, "mean_sigma": 0.02333027310669422, "spearman_rho": 0.9876212919459094, "tau": -0.19662468135356886, "elapsed_sec": 65.67295479774475, "epoch_fa_scores": [-0.13868995010852814]}
40
+ {"epoch": 39, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 66, "mean_sigma": 0.01849319040775299, "spearman_rho": 0.9889653699965955, "tau": -0.2083694338798523, "elapsed_sec": 69.22718286514282, "epoch_fa_scores": [-0.8423099517822266]}
41
+ {"epoch": 40, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 67, "mean_sigma": 0.027998995035886765, "spearman_rho": 0.9931233604247167, "tau": -0.20891029238700864, "elapsed_sec": 64.01412105560303, "epoch_fa_scores": [-0.36107486486434937]}
42
+ {"epoch": 41, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 68, "mean_sigma": 0.030811769887804985, "spearman_rho": 0.9848091654791634, "tau": -0.20945115089416502, "elapsed_sec": 66.37791562080383, "epoch_fa_scores": [-0.6200305819511414]}
43
+ {"epoch": 42, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 69, "mean_sigma": 0.015722814947366714, "spearman_rho": 0.9931233604247167, "tau": -0.18487992882728543, "elapsed_sec": 67.82838034629822, "epoch_fa_scores": [-0.06434737145900726]}
44
+ {"epoch": 43, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 70, "mean_sigma": 0.02629256248474121, "spearman_rho": 0.9812987236176437, "tau": -0.1517915576696396, "elapsed_sec": 63.4257869720459, "epoch_fa_scores": [-0.1523280292749405]}
45
+ {"epoch": 44, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 71, "mean_sigma": 0.01935650408267975, "spearman_rho": 0.9691043678307522, "tau": -0.1523280292749405, "elapsed_sec": 70.91631865501404, "epoch_fa_scores": [-0.16053959727287292]}
46
+ {"epoch": 45, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 72, "mean_sigma": 0.016444625332951546, "spearman_rho": 0.9460951819631992, "tau": -0.15018214285373688, "elapsed_sec": 62.88232755661011, "epoch_fa_scores": [-0.12127646058797836]}
47
+ {"epoch": 46, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 73, "mean_sigma": 0.02180705964565277, "spearman_rho": 0.968097395497227, "tau": -0.15071861445903778, "elapsed_sec": 66.180020570755, "epoch_fa_scores": [-0.23319807648658752]}
48
+ {"epoch": 47, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 74, "mean_sigma": 0.01972612738609314, "spearman_rho": 0.9646893137631862, "tau": -0.15125508606433866, "elapsed_sec": 67.29510831832886, "epoch_fa_scores": [-0.20035752654075623]}
49
+ {"epoch": 48, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 75, "mean_sigma": 0.021771201863884926, "spearman_rho": 0.9820851613437359, "tau": -0.1477874010801315, "elapsed_sec": 64.62684416770935, "epoch_fa_scores": [-0.05109017714858055]}
50
+ {"epoch": 49, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 76, "mean_sigma": 0.024360692128539085, "spearman_rho": 0.9991067439039162, "tau": -0.14035432040691376, "elapsed_sec": 70.2459785938263, "epoch_fa_scores": [-0.05364641919732094]}
51
+ {"epoch": 50, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 77, "mean_sigma": 0.03483152762055397, "spearman_rho": 0.9624344559112809, "tau": -0.1401291936635971, "elapsed_sec": 59.95445442199707, "epoch_fa_scores": [-0.12334833294153214]}
52
+ {"epoch": 51, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 78, "mean_sigma": 0.022764122113585472, "spearman_rho": 0.9104001130704705, "tau": -0.13938550651073456, "elapsed_sec": 63.76924705505371, "epoch_fa_scores": [-0.05883978679776192]}
53
+ {"epoch": 52, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 79, "mean_sigma": 0.019201604649424553, "spearman_rho": 0.9740008245261428, "tau": -0.13961464166641235, "elapsed_sec": 60.91322302818298, "epoch_fa_scores": [-0.1907658725976944]}
54
+ {"epoch": 53, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 80, "mean_sigma": 0.024351516738533974, "spearman_rho": 0.9794117647058824, "tau": -0.1388797789812088, "elapsed_sec": 62.984999895095825, "epoch_fa_scores": [-0.06933315843343735]}
55
+ {"epoch": 54, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 81, "mean_sigma": 0.01876155473291874, "spearman_rho": 0.9477559593054687, "tau": -0.13892723619937897, "elapsed_sec": 66.23564553260803, "epoch_fa_scores": [-0.6835086345672607]}
56
+ {"epoch": 55, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 82, "mean_sigma": 0.03367651626467705, "spearman_rho": 0.9137826309753155, "tau": -0.13873740732669831, "elapsed_sec": 63.46789526939392, "epoch_fa_scores": [-0.05801422894001007]}
57
+ {"epoch": 56, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 83, "mean_sigma": 0.02389521896839142, "spearman_rho": 0.9882048894764196, "tau": -0.13854751586914063, "elapsed_sec": 62.68645668029785, "epoch_fa_scores": [-0.1057489737868309]}
58
+ {"epoch": 57, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 84, "mean_sigma": 0.02523428574204445, "spearman_rho": 0.9808552610893532, "tau": -0.13859499394893646, "elapsed_sec": 62.22533869743347, "epoch_fa_scores": [-0.5337148904800415]}
59
+ {"epoch": 58, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 85, "mean_sigma": 0.024223485961556435, "spearman_rho": 0.9372757538632674, "tau": -0.13821742236614226, "elapsed_sec": 64.5151891708374, "epoch_fa_scores": [-0.12479142099618912]}
60
+ {"epoch": 59, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 86, "mean_sigma": 0.019876353442668915, "spearman_rho": 0.9656048802176214, "tau": -0.13845255970954895, "elapsed_sec": 59.02672839164734, "epoch_fa_scores": [-0.3086123764514923]}
61
+ {"epoch": 60, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 87, "mean_sigma": 0.018390458077192307, "spearman_rho": 0.8954550509349853, "tau": -0.13850003778934478, "elapsed_sec": 65.35057973861694, "epoch_fa_scores": [-0.14935888350009918]}
62
+ {"epoch": 61, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 88, "mean_sigma": 0.016918815672397614, "spearman_rho": 0.9674663428859572, "tau": -0.13854751586914063, "elapsed_sec": 60.645244121551514, "epoch_fa_scores": [-0.5274351835250854]}
63
+ {"epoch": 62, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 89, "mean_sigma": 0.013507822528481483, "spearman_rho": 0.9736359892570565, "tau": -0.1379822850227356, "elapsed_sec": 61.83275604248047, "epoch_fa_scores": [-0.053689584136009216]}
64
+ {"epoch": 63, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 90, "mean_sigma": 0.019986910745501518, "spearman_rho": 0.9498221118264386, "tau": -0.13821742236614226, "elapsed_sec": 64.35425233840942, "epoch_fa_scores": [-0.23368196189403534]}
65
+ {"epoch": 64, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 91, "mean_sigma": 0.019218673929572105, "spearman_rho": 0.9258064695446326, "tau": -0.13845255970954895, "elapsed_sec": 59.8860399723053, "epoch_fa_scores": [-0.3068579435348511]}
66
+ {"epoch": 65, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 92, "mean_sigma": 0.02263317070901394, "spearman_rho": 0.9606300143070957, "tau": -0.13751201033592225, "elapsed_sec": 64.26907801628113, "epoch_fa_scores": [-0.03931918367743492]}
67
+ {"epoch": 66, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 93, "mean_sigma": 0.0324828214943409, "spearman_rho": 0.9189432471414584, "tau": -0.1377471476793289, "elapsed_sec": 65.3433129787445, "epoch_fa_scores": [-0.17301063239574432]}
68
+ {"epoch": 67, "f_star": -0.03291958197951317, "best_smiles": "O=C(c1cc(Cl)c(Br)c(Br)c1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 94, "mean_sigma": 0.03221440315246582, "spearman_rho": 0.9259511901885611, "tau": -0.13594962060451507, "elapsed_sec": 63.29841470718384, "epoch_fa_scores": [-0.1278199702501297]}
69
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70
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71
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72
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73
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74
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75
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76
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77
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78
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79
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80
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81
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82
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83
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84
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85
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86
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87
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88
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89
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90
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91
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92
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93
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94
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95
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96
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97
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98
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99
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100
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101
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102
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103
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104
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105
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106
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107
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108
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109
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110
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111
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112
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113
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114
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115
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116
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117
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118
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119
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120
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140
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142
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144
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147
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148
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149
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150
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153
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159
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160
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163
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164
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165
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166
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167
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168
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169
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170
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171
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172
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173
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174
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175
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176
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177
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178
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179
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180
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181
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182
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183
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184
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185
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186
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187
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188
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189
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190
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191
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192
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193
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194
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195
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196
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197
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198
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199
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200
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201
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202
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203
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204
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205
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206
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207
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208
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209
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210
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211
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212
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213
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214
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215
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216
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217
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218
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219
+ {"epoch": 218, "f_star": 0.3579646348953247, "best_smiles": "O=C(c1ccccc1Cl)N1CCN(c2nc(Cl)nc3nc(Cl)sc23)CC1", "n_oracle_calls": 245, "mean_sigma": 0.03846530616283417, "spearman_rho": 0.9589402400095965, "tau": -0.0031230683438479762, "elapsed_sec": 64.37138557434082, "epoch_fa_scores": [0.2380799651145935]}
220
+ {"epoch": 219, "f_star": 0.3579646348953247, "best_smiles": "O=C(c1ccccc1Cl)N1CCN(c2nc(Cl)nc3nc(Cl)sc23)CC1", "n_oracle_calls": 246, "mean_sigma": 0.046245429664850235, "spearman_rho": 0.9638474373616155, "tau": -0.0032854625023901463, "elapsed_sec": 65.70439839363098, "epoch_fa_scores": [-0.43508651852607727]}
221
+ {"epoch": 220, "f_star": 0.3579646348953247, "best_smiles": "O=C(c1ccccc1Cl)N1CCN(c2nc(Cl)nc3nc(Cl)sc23)CC1", "n_oracle_calls": 247, "mean_sigma": 0.03698885813355446, "spearman_rho": 0.9309482931108672, "tau": -0.003886522352695431, "elapsed_sec": 63.93780493736267, "epoch_fa_scores": [-0.006662250496447086]}
222
+ {"epoch": 221, "f_star": 0.3579646348953247, "best_smiles": "O=C(c1ccccc1Cl)N1CCN(c2nc(Cl)nc3nc(Cl)sc23)CC1", "n_oracle_calls": 248, "mean_sigma": 0.049493785947561264, "spearman_rho": 0.9542056818008342, "tau": -0.002798280026763659, "elapsed_sec": 66.13173341751099, "epoch_fa_scores": [0.08634757995605469]}
223
+ {"epoch": 222, "f_star": 0.3579646348953247, "best_smiles": "O=C(c1ccccc1Cl)N1CCN(c2nc(Cl)nc3nc(Cl)sc23)CC1", "n_oracle_calls": 249, "mean_sigma": 0.0476793609559536, "spearman_rho": 0.9171110060792574, "tau": -0.0011421061353757789, "elapsed_sec": 66.81761479377747, "epoch_fa_scores": [0.12458862364292145]}
224
+ {"epoch": 223, "f_star": 0.3579646348953247, "best_smiles": "O=C(c1ccccc1Cl)N1CCN(c2nc(Cl)nc3nc(Cl)sc23)CC1", "n_oracle_calls": 250, "mean_sigma": 0.0431927852332592, "spearman_rho": 0.9324785136417596, "tau": 0.0009055099450051828, "elapsed_sec": 66.06050777435303, "epoch_fa_scores": [0.022313417866826057]}
bandit_ensemble_cvar_rerun/results.json ADDED
The diff for this file is too large to render. See raw diff
 
bandit_global_cvar/README.md ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # bandit_global_cvar
2
+
3
+ ## Summary
4
+ - **Best FA**: +0.6508
5
+ - **Oracle calls**: 365
6
+ - **Wall time**: 4 hours
7
+ - **Epochs**: 288
8
+
9
+ ## Algorithm: Multi-Fidelity UCB Bandit (global uncertainty)
10
+ Same as bandit_ensemble but uses a single global σ instead of per-candidate σ:
11
+ 1. Generate M=500 candidates from DDPP model
12
+ 2. Encode all with backbone → get per-candidate μ_i from ensemble mean
13
+ 3. sigma_global = std(FA_score - ensemble_mu) across all accumulated pairs (updated each epoch)
14
+ - Initialized to 0.2 before first ensemble training
15
+ 4. UCB_i = μ_i + z·σ_global (same σ for every candidate)
16
+ 5. Evaluate in UCB=μ order (since σ is constant, UCB reduces to pure μ ranking)
17
+ 6. Eliminate: remove candidates where μ_i + z·σ_global < best_fa_running
18
+
19
+ Key difference from bandit_ensemble: no per-candidate exploration.
20
+ Confidently mediocre (low μ, low σ) and uncertainly mediocre (low μ, high σ) are treated identically.
21
+ Only the μ ranking matters for evaluation order.
22
+
23
+ ## Config
24
+ - selection: bandit_global
25
+ - M=500, K=25 (max calls/epoch), bandit_z=1.96
26
+ - tau_mode=cvar, tau_quantile=0.80
27
+ - reward_shift=3.0, beta=1.0, lr=5e-5, lr_logz=5e-4
28
+ - n_ensemble=10, ensemble_epochs=100
29
+ - ddpp_steps_per_epoch=50, wall_budget_sec=14400 (4hr)
30
+
31
+ ## Files
32
+ - active_loop_log.jsonl: epoch-level log
33
+ - oracle_progress.csv: oracle_calls vs f_star progression
34
+ - results.json: final summary
35
+
36
+ ## Notes
37
+ - 288 epochs, 365 total oracle calls (avg ~1.27 calls/epoch)
38
+ - Outperforms thompson_cvar (+0.494) with 13x fewer oracle calls
39
+ - Underperforms bandit_ensemble (+1.010) — per-candidate σ matters for finding surprising candidates
bandit_global_cvar/active_loop_log.jsonl ADDED
@@ -0,0 +1,288 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"epoch": 0, "f_star": -0.9636642336845398, "best_smiles": "O=C(NC1CC[NH+](C2CCOCC2)CC1)c1ccc(F)cc1F", "n_oracle_calls": 24, "mean_sigma": NaN, "spearman_rho": 1.0, "tau": -1.013553524017334, "elapsed_sec": 52.85277009010315, "epoch_fa_scores": [-1.7075567245483398, -1.5967504978179932, -1.213276982307434, -1.5286972522735596, -1.2419312000274658, -1.1986523866653442, -1.066215991973877, -1.2214980125427246, -1.3694579601287842, -1.0128130912780762, -1.1979949474334717, -1.2966690063476562, -0.9636642336845398, -1.4859764575958252, -1.378800630569458, -1.559977412223816, -1.2328864336013794, -1.0140471458435059, -1.0041656494140625, -1.1475540399551392, -0.9830382466316223, -1.1945099830627441, -0.9934289455413818, -1.1148028373718262]}
2
+ {"epoch": 1, "f_star": -0.7103185653686523, "best_smiles": "O=C(N[C@H]1CCCN(c2ccccc2Cl)C1)c1ccc(Br)nc1", "n_oracle_calls": 25, "mean_sigma": 0.0088297538459301, "spearman_rho": 0.9999999999999999, "tau": -1.0110836029052734, "elapsed_sec": 51.60222601890564, "epoch_fa_scores": [-0.7103185653686523]}
3
+ {"epoch": 2, "f_star": -0.3867940902709961, "best_smiles": "O=C(c1ccc2cc(Cl)ccc2n1)N1CCN(c2ccc(F)cc2)CC1", "n_oracle_calls": 26, "mean_sigma": 0.009301397949457169, "spearman_rho": 0.9999999999999999, "tau": -1.0041656494140625, "elapsed_sec": 50.507391691207886, "epoch_fa_scores": [-0.3867940902709961]}
4
+ {"epoch": 3, "f_star": -0.37805038690567017, "best_smiles": "O=C(c1ccc2cc(Br)ccc2n1)N1CCN(c2ccc(F)cc2)CC1", "n_oracle_calls": 27, "mean_sigma": 0.008457704447209835, "spearman_rho": 0.9999999999999999, "tau": -0.995576286315918, "elapsed_sec": 50.225162506103516, "epoch_fa_scores": [-0.37805038690567017]}
5
+ {"epoch": 4, "f_star": -0.37805038690567017, "best_smiles": "O=C(c1ccc2cc(Br)ccc2n1)N1CCN(c2ccc(F)cc2)CC1", "n_oracle_calls": 28, "mean_sigma": 0.009632996283471584, "spearman_rho": 0.9999999999999999, "tau": -0.9871945261955261, "elapsed_sec": 50.71091985702515, "epoch_fa_scores": [-0.3945995569229126]}
6
+ {"epoch": 5, "f_star": -0.33833175897598267, "best_smiles": "O=C(c1ccc2cc(Cl)ccc2n1)N1CCC(c2cccc(F)c2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.011210236698389053, "spearman_rho": 0.9999999999999999, "tau": -0.9752886414527893, "elapsed_sec": 50.93326377868652, "epoch_fa_scores": [-0.33833175897598267]}
7
+ {"epoch": 6, "f_star": -0.328353613615036, "best_smiles": "O=C(c1nc2ccccc2cc1Cl)N1CCN(c2ccc(F)cc2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.01096936222165823, "spearman_rho": 1.0, "tau": -0.9129951000213616, "elapsed_sec": 49.626046895980835, "epoch_fa_scores": [-0.328353613615036]}
8
+ {"epoch": 7, "f_star": -0.328353613615036, "best_smiles": "O=C(c1nc2ccccc2cc1Cl)N1CCN(c2ccc(F)cc2)CC1", "n_oracle_calls": 31, "mean_sigma": 0.012546488083899021, "spearman_rho": 1.0, "tau": -0.7103185653686523, "elapsed_sec": 48.38682794570923, "epoch_fa_scores": [-0.4582000970840454]}
9
+ {"epoch": 8, "f_star": -0.31711655855178833, "best_smiles": "O=C(c1ccc2cc(Cl)ccc2n1)N1CCN(c2cccc(Cl)c2)CC1", "n_oracle_calls": 32, "mean_sigma": 0.012450644746422768, "spearman_rho": 1.0, "tau": -0.5086237907409666, "elapsed_sec": 49.720799684524536, "epoch_fa_scores": [-0.31711655855178833]}
10
+ {"epoch": 9, "f_star": -0.31711655855178833, "best_smiles": "O=C(c1ccc2cc(Cl)ccc2n1)N1CCN(c2cccc(Cl)c2)CC1", "n_oracle_calls": 33, "mean_sigma": 0.010942650027573109, "spearman_rho": 1.0, "tau": -0.4200397729873656, "elapsed_sec": 50.50947308540344, "epoch_fa_scores": [-0.3780823051929474]}
11
+ {"epoch": 10, "f_star": -0.31711655855178833, "best_smiles": "O=C(c1ccc2cc(Cl)ccc2n1)N1CCN(c2cccc(Cl)c2)CC1", "n_oracle_calls": 34, "mean_sigma": 0.011540251784026623, "spearman_rho": 1.0, "tau": -0.4325738072395323, "elapsed_sec": 46.76769208908081, "epoch_fa_scores": [-0.45788997411727905]}
12
+ {"epoch": 11, "f_star": -0.31711655855178833, "best_smiles": "O=C(c1ccc2cc(Cl)ccc2n1)N1CCN(c2cccc(Cl)c2)CC1", "n_oracle_calls": 35, "mean_sigma": 0.010160000063478947, "spearman_rho": 1.0, "tau": -0.39303846359252925, "elapsed_sec": 50.81093120574951, "epoch_fa_scores": [-0.33284375071525574]}
13
+ {"epoch": 12, "f_star": -0.31711655855178833, "best_smiles": "O=C(c1ccc2cc(Cl)ccc2n1)N1CCN(c2cccc(Cl)c2)CC1", "n_oracle_calls": 36, "mean_sigma": 0.011050380766391754, "spearman_rho": 0.9642857142857145, "tau": -0.3867940902709961, "elapsed_sec": 47.697800636291504, "epoch_fa_scores": [-0.36922523379325867]}
14
+ {"epoch": 13, "f_star": -0.3043085038661957, "best_smiles": "O=C(c1ccc2ccc(Br)cc2n1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.014387490227818489, "spearman_rho": 1.0, "tau": -0.3798246622085571, "elapsed_sec": 48.80203437805176, "epoch_fa_scores": [-0.3043085038661957]}
15
+ {"epoch": 14, "f_star": -0.3043085038661957, "best_smiles": "O=C(c1ccc2ccc(Br)cc2n1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.011277283541858196, "spearman_rho": 0.991031208965115, "tau": -0.38156701922416686, "elapsed_sec": 46.589773178100586, "epoch_fa_scores": [-0.39455392956733704]}
16
+ {"epoch": 15, "f_star": -0.3043085038661957, "best_smiles": "O=C(c1ccc2ccc(Br)cc2n1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 39, "mean_sigma": 0.012323632836341858, "spearman_rho": 1.0, "tau": -0.3780695378780365, "elapsed_sec": 49.31460452079773, "epoch_fa_scores": [-0.32595640420913696]}
17
+ {"epoch": 16, "f_star": -0.3043085038661957, "best_smiles": "O=C(c1ccc2ccc(Br)cc2n1)N1CCN(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 40, "mean_sigma": 0.011490111239254475, "spearman_rho": 1.0, "tau": -0.3762853562831878, "elapsed_sec": 50.99290871620178, "epoch_fa_scores": [-0.3261395990848541]}
18
+ {"epoch": 17, "f_star": -0.2845430374145508, "best_smiles": "O=C(c1ccc2cc(Br)ccc2n1)N1CCC(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 41, "mean_sigma": 0.01178387925028801, "spearman_rho": 0.9761904761904763, "tau": -0.36922523379325867, "elapsed_sec": 48.187487840652466, "epoch_fa_scores": [-0.2845430374145508]}
19
+ {"epoch": 18, "f_star": -0.2845430374145508, "best_smiles": "O=C(c1ccc2cc(Br)ccc2n1)N1CCC(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 42, "mean_sigma": 0.011243326589465141, "spearman_rho": 0.9761904761904763, "tau": -0.37099026441574096, "elapsed_sec": 51.461161375045776, "epoch_fa_scores": [-0.4277952313423157]}
20
+ {"epoch": 19, "f_star": -0.2845430374145508, "best_smiles": "O=C(c1ccc2cc(Br)ccc2n1)N1CCC(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 43, "mean_sigma": 0.0108743691816926, "spearman_rho": 0.9700772721497398, "tau": -0.35068914890289304, "elapsed_sec": 48.786139488220215, "epoch_fa_scores": [-0.32899436354637146]}
21
+ {"epoch": 20, "f_star": -0.2845430374145508, "best_smiles": "O=C(c1ccc2cc(Br)ccc2n1)N1CCC(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 44, "mean_sigma": 0.011702978052198887, "spearman_rho": 1.0, "tau": -0.3568678438663483, "elapsed_sec": 50.75487303733826, "epoch_fa_scores": [-0.4220748841762543]}
22
+ {"epoch": 21, "f_star": -0.2845430374145508, "best_smiles": "O=C(c1ccc2cc(Br)ccc2n1)N1CCC(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 45, "mean_sigma": 0.012911544181406498, "spearman_rho": 0.9833333333333333, "tau": -0.33723415732383727, "elapsed_sec": 49.879228591918945, "epoch_fa_scores": [-0.31409522891044617]}
23
+ {"epoch": 22, "f_star": -0.2845430374145508, "best_smiles": "O=C(c1ccc2cc(Br)ccc2n1)N1CCC(c2ccc(Cl)cc2)CC1", "n_oracle_calls": 46, "mean_sigma": 0.015833137556910515, "spearman_rho": 1.0, "tau": -0.33284375071525574, "elapsed_sec": 50.771393060684204, "epoch_fa_scores": [-0.3187657594680786]}
24
+ {"epoch": 23, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 47, "mean_sigma": 0.014500664547085762, "spearman_rho": 0.9707197941566387, "tau": -0.3297642409801483, "elapsed_sec": 49.82487225532532, "epoch_fa_scores": [-0.03675048425793648]}
25
+ {"epoch": 24, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 48, "mean_sigma": 0.016012169420719147, "spearman_rho": 0.9833333333333333, "tau": -0.33053411841392516, "elapsed_sec": 51.62889766693115, "epoch_fa_scores": [-0.41844314336776733]}
26
+ {"epoch": 25, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 49, "mean_sigma": 0.014186146669089794, "spearman_rho": 0.9707197941566387, "tau": -0.3287380635738373, "elapsed_sec": 50.553056716918945, "epoch_fa_scores": [-0.3206274211406708]}
27
+ {"epoch": 26, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 50, "mean_sigma": 0.01660267263650894, "spearman_rho": 0.9636363636363635, "tau": -0.32886621356010437, "elapsed_sec": 49.7870934009552, "epoch_fa_scores": [-0.4209442138671875]}
28
+ {"epoch": 27, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 51, "mean_sigma": 0.01693555898964405, "spearman_rho": 0.9272727272727272, "tau": -0.32899436354637146, "elapsed_sec": 49.24863886833191, "epoch_fa_scores": [-0.4370003938674927]}
29
+ {"epoch": 28, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 52, "mean_sigma": 0.030209628865122795, "spearman_rho": 0.9969650916353059, "tau": -0.3284817636013031, "elapsed_sec": 51.294793128967285, "epoch_fa_scores": [-0.3216654658317566]}
30
+ {"epoch": 29, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 53, "mean_sigma": 0.022068213671445847, "spearman_rho": 0.9878787878787878, "tau": -0.3270252048969269, "elapsed_sec": 50.47431206703186, "epoch_fa_scores": [-0.1318286806344986]}
31
+ {"epoch": 30, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 54, "mean_sigma": 0.024791786447167397, "spearman_rho": 0.8787878787878788, "tau": -0.32606632113456724, "elapsed_sec": 50.54961848258972, "epoch_fa_scores": [-0.1315796971321106]}
32
+ {"epoch": 31, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 55, "mean_sigma": 0.019027037546038628, "spearman_rho": 0.9886130432447054, "tau": -0.3250982165336609, "elapsed_sec": 50.710947036743164, "epoch_fa_scores": [-0.13605719804763794]}
33
+ {"epoch": 32, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 56, "mean_sigma": 0.01494649425148964, "spearman_rho": 0.990909090909091, "tau": -0.3216654658317566, "elapsed_sec": 48.82698678970337, "epoch_fa_scores": [-0.140358567237854]}
34
+ {"epoch": 33, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 57, "mean_sigma": 0.013727234676480293, "spearman_rho": 0.9726128794014853, "tau": -0.3208350300788879, "elapsed_sec": 50.67022109031677, "epoch_fa_scores": [-0.17135746777057648]}
35
+ {"epoch": 34, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 58, "mean_sigma": 0.013800980523228645, "spearman_rho": 1.0, "tau": -0.3195104241371155, "elapsed_sec": 50.10050821304321, "epoch_fa_scores": [-0.26498138904571533]}
36
+ {"epoch": 35, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 59, "mean_sigma": 0.018305424600839615, "spearman_rho": 0.9840572227689233, "tau": -0.31810607910156247, "elapsed_sec": 49.805418968200684, "epoch_fa_scores": [-0.23581737279891968]}
37
+ {"epoch": 36, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 60, "mean_sigma": 0.02112867310643196, "spearman_rho": 0.99124495269876, "tau": -0.3165122926235199, "elapsed_sec": 51.11093258857727, "epoch_fa_scores": [-0.13044427335262299]}
38
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39
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40
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41
+ {"epoch": 40, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 65, "mean_sigma": 0.015210423618555069, "spearman_rho": 0.9793681892276984, "tau": -0.25914858579635613, "elapsed_sec": 52.462868213653564, "epoch_fa_scores": [-0.0742131918668747]}
42
+ {"epoch": 41, "f_star": -0.03675048425793648, "best_smiles": "O=C(c1c[nH]c2ccc(Cl)cc12)N1CCN(c2ccc(Cl)cc2Cl)CC1", "n_oracle_calls": 66, "mean_sigma": 0.019576607272028923, "spearman_rho": 0.967032967032967, "tau": -0.23581737279891968, "elapsed_sec": 49.777647256851196, "epoch_fa_scores": [-0.10567592084407806]}
43
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44
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45
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46
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47
+ {"epoch": 46, "f_star": 0.10542605072259903, "best_smiles": "O=C(c1ccc(Cl)cc1Cl)N1CCN(c2nc3ccc(Cl)cc3s2)CC1", "n_oracle_calls": 71, "mean_sigma": 0.028970398008823395, "spearman_rho": 0.9945000517380604, "tau": -0.140358567237854, "elapsed_sec": 52.63627743721008, "epoch_fa_scores": [-0.0671367272734642]}
48
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49
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50
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51
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52
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53
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54
+ {"epoch": 53, "f_star": 0.10542605072259903, "best_smiles": "O=C(c1ccc(Cl)cc1Cl)N1CCN(c2nc3ccc(Cl)cc3s2)CC1", "n_oracle_calls": 78, "mean_sigma": 0.026349887251853943, "spearman_rho": 0.9477862107557281, "tau": -0.13352008759975434, "elapsed_sec": 51.84728217124939, "epoch_fa_scores": [-0.0693419873714447]}
55
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56
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57
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58
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59
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60
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61
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62
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63
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64
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65
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66
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67
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68
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69
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70
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71
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72
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73
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74
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75
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76
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77
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78
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79
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80
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81
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82
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83
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84
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85
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86
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87
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88
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89
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90
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91
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92
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93
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94
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95
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96
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97
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98
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99
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100
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101
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102
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103
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104
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105
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106
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107
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108
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109
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110
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111
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112
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113
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114
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115
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116
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117
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118
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119
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120
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121
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122
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123
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124
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125
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126
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127
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128
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129
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130
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131
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132
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133
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134
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135
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136
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137
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138
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157
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158
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159
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160
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161
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162
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163
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164
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167
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169
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170
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171
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172
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173
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174
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175
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176
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177
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178
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179
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180
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181
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182
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183
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184
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185
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186
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187
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188
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189
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190
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191
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192
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193
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194
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195
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196
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197
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198
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199
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200
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201
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202
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203
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204
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205
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206
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207
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208
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209
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210
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211
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212
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213
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214
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215
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216
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217
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218
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219
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220
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221
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222
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223
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224
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225
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226
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227
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228
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229
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230
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231
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232
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233
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234
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235
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236
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237
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238
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239
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240
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241
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242
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243
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244
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245
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246
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247
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248
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249
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250
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251
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252
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253
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254
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255
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256
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257
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258
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259
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260
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261
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262
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263
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264
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265
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266
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267
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268
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269
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270
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271
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272
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273
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274
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275
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276
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277
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278
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279
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280
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281
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282
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283
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284
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bandit_global_cvar/oracle_progress.csv ADDED
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37
+ {"epoch": 36, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.022137543186545372, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 49.66507077217102, "epoch_fa_scores": []}
38
+ {"epoch": 37, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.016502609476447105, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 50.2108359336853, "epoch_fa_scores": []}
39
+ {"epoch": 38, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.014075280167162418, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 48.24131894111633, "epoch_fa_scores": []}
40
+ {"epoch": 39, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.019092347472906113, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 52.30697798728943, "epoch_fa_scores": []}
41
+ {"epoch": 40, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.014955111779272556, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 52.88603687286377, "epoch_fa_scores": []}
42
+ {"epoch": 41, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.013072959147393703, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 52.000402212142944, "epoch_fa_scores": []}
43
+ {"epoch": 42, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.01351549755781889, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 50.251970529556274, "epoch_fa_scores": []}
44
+ {"epoch": 43, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.02001066319644451, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 52.69870471954346, "epoch_fa_scores": []}
45
+ {"epoch": 44, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.013261670246720314, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 50.46427369117737, "epoch_fa_scores": []}
46
+ {"epoch": 45, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.013615955598652363, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 49.137420654296875, "epoch_fa_scores": []}
47
+ {"epoch": 46, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.02548385038971901, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 52.2782928943634, "epoch_fa_scores": []}
48
+ {"epoch": 47, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.021431805565953255, "spearman_rho": 0.7999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 49.36897039413452, "epoch_fa_scores": []}
49
+ {"epoch": 48, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.022487154230475426, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 49.82448410987854, "epoch_fa_scores": []}
50
+ {"epoch": 49, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.03075481206178665, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 49.72206449508667, "epoch_fa_scores": []}
51
+ {"epoch": 50, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.023788971826434135, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 51.757118701934814, "epoch_fa_scores": []}
52
+ {"epoch": 51, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.02368159592151642, "spearman_rho": 0.8999999999999998, "tau": -0.8317416071891783, "elapsed_sec": 51.333038330078125, "epoch_fa_scores": []}
53
+ {"epoch": 52, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.03576749563217163, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 50.692203760147095, "epoch_fa_scores": []}
54
+ {"epoch": 53, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.021485473960638046, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 50.707231760025024, "epoch_fa_scores": []}
55
+ {"epoch": 54, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.03205866366624832, "spearman_rho": 0.7999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 51.43012523651123, "epoch_fa_scores": []}
56
+ {"epoch": 55, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.04883650317788124, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 51.522093296051025, "epoch_fa_scores": []}
57
+ {"epoch": 56, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.020449306815862656, "spearman_rho": 0.8999999999999998, "tau": -0.8317416071891783, "elapsed_sec": 49.59255075454712, "epoch_fa_scores": []}
58
+ {"epoch": 57, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.033753812313079834, "spearman_rho": 0.8999999999999998, "tau": -0.8317416071891783, "elapsed_sec": 51.2649199962616, "epoch_fa_scores": []}
59
+ {"epoch": 58, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.02647676318883896, "spearman_rho": 0.8999999999999998, "tau": -0.8317416071891783, "elapsed_sec": 51.57013773918152, "epoch_fa_scores": []}
60
+ {"epoch": 59, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.02144130878150463, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 53.318432092666626, "epoch_fa_scores": []}
61
+ {"epoch": 60, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.056749455630779266, "spearman_rho": 0.8999999999999998, "tau": -0.8317416071891783, "elapsed_sec": 48.792662143707275, "epoch_fa_scores": []}
62
+ {"epoch": 61, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.026562336832284927, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 48.073867082595825, "epoch_fa_scores": []}
63
+ {"epoch": 62, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 29, "mean_sigma": 0.030155813321471214, "spearman_rho": 0.9999999999999999, "tau": -0.8317416071891783, "elapsed_sec": 48.85903978347778, "epoch_fa_scores": []}
64
+ {"epoch": 63, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.023791654035449028, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 48.889556646347046, "epoch_fa_scores": [-0.7719298601150513]}
65
+ {"epoch": 64, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.02927217446267605, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 46.5936393737793, "epoch_fa_scores": []}
66
+ {"epoch": 65, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.024491192772984505, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 45.91021132469177, "epoch_fa_scores": []}
67
+ {"epoch": 66, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.03985004127025604, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 46.219202756881714, "epoch_fa_scores": []}
68
+ {"epoch": 67, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.026965638622641563, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 46.57753014564514, "epoch_fa_scores": []}
69
+ {"epoch": 68, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.034341249614953995, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 45.93231987953186, "epoch_fa_scores": []}
70
+ {"epoch": 69, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.029576756060123444, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 45.09467053413391, "epoch_fa_scores": []}
71
+ {"epoch": 70, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.03824611008167267, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 46.89344620704651, "epoch_fa_scores": []}
72
+ {"epoch": 71, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.03100462071597576, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 49.433741092681885, "epoch_fa_scores": []}
73
+ {"epoch": 72, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.03753164783120155, "spearman_rho": 0.7714285714285715, "tau": -0.7938639402389526, "elapsed_sec": 49.146169900894165, "epoch_fa_scores": []}
74
+ {"epoch": 73, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.05015413835644722, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 48.59885501861572, "epoch_fa_scores": []}
75
+ {"epoch": 74, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.03890254348516464, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 49.79169178009033, "epoch_fa_scores": []}
76
+ {"epoch": 75, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.031764257699251175, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 49.4606294631958, "epoch_fa_scores": []}
77
+ {"epoch": 76, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.029873421415686607, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 49.26305365562439, "epoch_fa_scores": []}
78
+ {"epoch": 77, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.02568640559911728, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 47.12863898277283, "epoch_fa_scores": []}
79
+ {"epoch": 78, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.05731157585978508, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 50.07442378997803, "epoch_fa_scores": []}
80
+ {"epoch": 79, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04006829485297203, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 49.07646727561951, "epoch_fa_scores": []}
81
+ {"epoch": 80, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.052629195153713226, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 46.44461393356323, "epoch_fa_scores": []}
82
+ {"epoch": 81, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04374226927757263, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 47.561830043792725, "epoch_fa_scores": []}
83
+ {"epoch": 82, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.03867041692137718, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 51.33118915557861, "epoch_fa_scores": []}
84
+ {"epoch": 83, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.023986881598830223, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 48.79582762718201, "epoch_fa_scores": []}
85
+ {"epoch": 84, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04192908853292465, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 46.05619692802429, "epoch_fa_scores": []}
86
+ {"epoch": 85, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04815560206770897, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 47.494221448898315, "epoch_fa_scores": []}
87
+ {"epoch": 86, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.03851870819926262, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 48.045756578445435, "epoch_fa_scores": []}
88
+ {"epoch": 87, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.034336213022470474, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 46.658555030822754, "epoch_fa_scores": []}
89
+ {"epoch": 88, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04397678002715111, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 49.21689701080322, "epoch_fa_scores": []}
90
+ {"epoch": 89, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04161011055111885, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 48.063841104507446, "epoch_fa_scores": []}
91
+ {"epoch": 90, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.05453164875507355, "spearman_rho": 0.8857142857142858, "tau": -0.7938639402389526, "elapsed_sec": 45.86592197418213, "epoch_fa_scores": []}
92
+ {"epoch": 91, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04260838031768799, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 43.47018575668335, "epoch_fa_scores": []}
93
+ {"epoch": 92, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04645789414644241, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 46.69452524185181, "epoch_fa_scores": []}
94
+ {"epoch": 93, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.02651020511984825, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 47.86157751083374, "epoch_fa_scores": []}
95
+ {"epoch": 94, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.047016020864248276, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 45.11882257461548, "epoch_fa_scores": []}
96
+ {"epoch": 95, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04455290362238884, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 47.29053282737732, "epoch_fa_scores": []}
97
+ {"epoch": 96, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.039411164820194244, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 48.6418354511261, "epoch_fa_scores": []}
98
+ {"epoch": 97, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.038703251630067825, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 46.15028667449951, "epoch_fa_scores": []}
99
+ {"epoch": 98, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.03758207708597183, "spearman_rho": 0.7714285714285715, "tau": -0.7938639402389526, "elapsed_sec": 47.38359022140503, "epoch_fa_scores": []}
100
+ {"epoch": 99, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.03503107652068138, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 50.43709969520569, "epoch_fa_scores": []}
101
+ {"epoch": 100, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.030400818213820457, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 44.94415211677551, "epoch_fa_scores": []}
102
+ {"epoch": 101, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.06350011378526688, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 47.35342884063721, "epoch_fa_scores": []}
103
+ {"epoch": 102, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.02776375785470009, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 47.17949604988098, "epoch_fa_scores": []}
104
+ {"epoch": 103, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04142800346016884, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 46.62127161026001, "epoch_fa_scores": []}
105
+ {"epoch": 104, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04442012310028076, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 50.06977605819702, "epoch_fa_scores": []}
106
+ {"epoch": 105, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.0381147600710392, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 48.825403451919556, "epoch_fa_scores": []}
107
+ {"epoch": 106, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.03887300193309784, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 48.529016733169556, "epoch_fa_scores": []}
108
+ {"epoch": 107, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.02710363082587719, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 47.98334455490112, "epoch_fa_scores": []}
109
+ {"epoch": 108, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.053515367209911346, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 48.02716279029846, "epoch_fa_scores": []}
110
+ {"epoch": 109, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.040574777871370316, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 44.2987539768219, "epoch_fa_scores": []}
111
+ {"epoch": 110, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04120763763785362, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 43.986204385757446, "epoch_fa_scores": []}
112
+ {"epoch": 111, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.05527668446302414, "spearman_rho": 0.8285714285714287, "tau": -0.7938639402389526, "elapsed_sec": 45.54486060142517, "epoch_fa_scores": []}
113
+ {"epoch": 112, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04770783334970474, "spearman_rho": 0.7714285714285715, "tau": -0.7938639402389526, "elapsed_sec": 47.56775665283203, "epoch_fa_scores": []}
114
+ {"epoch": 113, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.03150561824440956, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 49.26101231575012, "epoch_fa_scores": []}
115
+ {"epoch": 114, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04417534917593002, "spearman_rho": 0.2571428571428572, "tau": -0.7938639402389526, "elapsed_sec": 46.828588008880615, "epoch_fa_scores": []}
116
+ {"epoch": 115, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04086412489414215, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 50.64534330368042, "epoch_fa_scores": []}
117
+ {"epoch": 116, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.0512436106801033, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 49.07448053359985, "epoch_fa_scores": []}
118
+ {"epoch": 117, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.04674511030316353, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 48.13403916358948, "epoch_fa_scores": []}
119
+ {"epoch": 118, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.03921857476234436, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 47.449543952941895, "epoch_fa_scores": []}
120
+ {"epoch": 119, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.05105557292699814, "spearman_rho": 1.0, "tau": -0.7938639402389526, "elapsed_sec": 47.86880278587341, "epoch_fa_scores": []}
121
+ {"epoch": 120, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 30, "mean_sigma": 0.034209925681352615, "spearman_rho": 0.942857142857143, "tau": -0.7938639402389526, "elapsed_sec": 49.788318395614624, "epoch_fa_scores": []}
122
+ {"epoch": 121, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.047712329775094986, "spearman_rho": 0.8928571428571429, "tau": -0.656654667854309, "elapsed_sec": 49.45569467544556, "epoch_fa_scores": [-0.6481915712356567, -0.6158732771873474, -0.4571380615234375, -0.472526490688324, -0.6905070543289185, -0.6949331164360046, -0.8940129280090332]}
123
+ {"epoch": 122, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.028339143842458725, "spearman_rho": 1.0, "tau": -0.656654667854309, "elapsed_sec": 49.564605474472046, "epoch_fa_scores": []}
124
+ {"epoch": 123, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.025428155437111855, "spearman_rho": 1.0, "tau": -0.656654667854309, "elapsed_sec": 48.78571176528931, "epoch_fa_scores": []}
125
+ {"epoch": 124, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.04765135049819946, "spearman_rho": 0.8928571428571429, "tau": -0.656654667854309, "elapsed_sec": 42.790016651153564, "epoch_fa_scores": []}
126
+ {"epoch": 125, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.03803214058279991, "spearman_rho": 0.9642857142857145, "tau": -0.656654667854309, "elapsed_sec": 48.03384256362915, "epoch_fa_scores": []}
127
+ {"epoch": 126, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.027612978592514992, "spearman_rho": 1.0, "tau": -0.656654667854309, "elapsed_sec": 44.69553351402283, "epoch_fa_scores": []}
128
+ {"epoch": 127, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.022876419126987457, "spearman_rho": 1.0, "tau": -0.656654667854309, "elapsed_sec": 48.15210318565369, "epoch_fa_scores": []}
129
+ {"epoch": 128, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.026203377172350883, "spearman_rho": 0.9285714285714288, "tau": -0.656654667854309, "elapsed_sec": 46.48968458175659, "epoch_fa_scores": []}
130
+ {"epoch": 129, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.024398745968937874, "spearman_rho": 0.8214285714285715, "tau": -0.656654667854309, "elapsed_sec": 52.64842891693115, "epoch_fa_scores": []}
131
+ {"epoch": 130, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.01961289905011654, "spearman_rho": 0.9642857142857145, "tau": -0.656654667854309, "elapsed_sec": 51.83572483062744, "epoch_fa_scores": []}
132
+ {"epoch": 131, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.023237116634845734, "spearman_rho": 0.8571428571428573, "tau": -0.656654667854309, "elapsed_sec": 53.20970034599304, "epoch_fa_scores": []}
133
+ {"epoch": 132, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.02072875387966633, "spearman_rho": 0.9642857142857145, "tau": -0.656654667854309, "elapsed_sec": 53.07868576049805, "epoch_fa_scores": []}
134
+ {"epoch": 133, "f_star": -0.15200835466384888, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 37, "mean_sigma": 0.02419367805123329, "spearman_rho": 1.0, "tau": -0.656654667854309, "elapsed_sec": 52.94113302230835, "epoch_fa_scores": []}
135
+ {"epoch": 134, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.021119005978107452, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 53.182677268981934, "epoch_fa_scores": [-0.02280718833208084]}
136
+ {"epoch": 135, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.025015302002429962, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 50.94532322883606, "epoch_fa_scores": []}
137
+ {"epoch": 136, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.035735465586185455, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 50.6027193069458, "epoch_fa_scores": []}
138
+ {"epoch": 137, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.024655068293213844, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 50.90756559371948, "epoch_fa_scores": []}
139
+ {"epoch": 138, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.033513955771923065, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 51.413949489593506, "epoch_fa_scores": []}
140
+ {"epoch": 139, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.03280075639486313, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 49.17573380470276, "epoch_fa_scores": []}
141
+ {"epoch": 140, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.022556819021701813, "spearman_rho": 0.8928571428571429, "tau": -0.628800594806671, "elapsed_sec": 53.722599029541016, "epoch_fa_scores": []}
142
+ {"epoch": 141, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.03066098317503929, "spearman_rho": 0.8928571428571429, "tau": -0.628800594806671, "elapsed_sec": 49.95369577407837, "epoch_fa_scores": []}
143
+ {"epoch": 142, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.026291221380233765, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 47.930216789245605, "epoch_fa_scores": []}
144
+ {"epoch": 143, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.021443653851747513, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 52.12933802604675, "epoch_fa_scores": []}
145
+ {"epoch": 144, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.015670806169509888, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 52.84829807281494, "epoch_fa_scores": []}
146
+ {"epoch": 145, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.020557468757033348, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 50.06857204437256, "epoch_fa_scores": []}
147
+ {"epoch": 146, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.01899971440434456, "spearman_rho": 0.9285714285714288, "tau": -0.628800594806671, "elapsed_sec": 51.229976654052734, "epoch_fa_scores": []}
148
+ {"epoch": 147, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.021064354106783867, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 50.0896270275116, "epoch_fa_scores": []}
149
+ {"epoch": 148, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.02704651840031147, "spearman_rho": 0.9189562119494703, "tau": -0.628800594806671, "elapsed_sec": 50.129722118377686, "epoch_fa_scores": []}
150
+ {"epoch": 149, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.03332338482141495, "spearman_rho": 0.8928571428571429, "tau": -0.628800594806671, "elapsed_sec": 46.63485813140869, "epoch_fa_scores": []}
151
+ {"epoch": 150, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.0189740639179945, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 51.13848423957825, "epoch_fa_scores": []}
152
+ {"epoch": 151, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.025177842006087303, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 47.74136519432068, "epoch_fa_scores": []}
153
+ {"epoch": 152, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.02185165137052536, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 51.05893802642822, "epoch_fa_scores": []}
154
+ {"epoch": 153, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.0252386461943388, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 52.012104749679565, "epoch_fa_scores": []}
155
+ {"epoch": 154, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.020979713648557663, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 50.11009168624878, "epoch_fa_scores": []}
156
+ {"epoch": 155, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.025983598083257675, "spearman_rho": 0.7142857142857144, "tau": -0.628800594806671, "elapsed_sec": 51.64306426048279, "epoch_fa_scores": []}
157
+ {"epoch": 156, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.04946433752775192, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 52.71912622451782, "epoch_fa_scores": []}
158
+ {"epoch": 157, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.037109870463609695, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 51.02493071556091, "epoch_fa_scores": []}
159
+ {"epoch": 158, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.024196630343794823, "spearman_rho": 0.7857142857142859, "tau": -0.628800594806671, "elapsed_sec": 51.16864824295044, "epoch_fa_scores": []}
160
+ {"epoch": 159, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.03525476157665253, "spearman_rho": 0.8928571428571429, "tau": -0.628800594806671, "elapsed_sec": 50.07457518577576, "epoch_fa_scores": []}
161
+ {"epoch": 160, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.036700449883937836, "spearman_rho": 0.9285714285714288, "tau": -0.628800594806671, "elapsed_sec": 47.96375346183777, "epoch_fa_scores": []}
162
+ {"epoch": 161, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.03491751477122307, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 53.657185554504395, "epoch_fa_scores": []}
163
+ {"epoch": 162, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.03315591439604759, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 51.32266354560852, "epoch_fa_scores": []}
164
+ {"epoch": 163, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.03958465903997421, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 53.51248788833618, "epoch_fa_scores": []}
165
+ {"epoch": 164, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.02996787056326866, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 49.50413227081299, "epoch_fa_scores": []}
166
+ {"epoch": 165, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.02997625432908535, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 51.50367093086243, "epoch_fa_scores": []}
167
+ {"epoch": 166, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.029666317626833916, "spearman_rho": 0.8571428571428573, "tau": -0.628800594806671, "elapsed_sec": 53.72024846076965, "epoch_fa_scores": []}
168
+ {"epoch": 167, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.041416000574827194, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 53.19132161140442, "epoch_fa_scores": []}
169
+ {"epoch": 168, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.0301731675863266, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 51.877827405929565, "epoch_fa_scores": []}
170
+ {"epoch": 169, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.036067791283130646, "spearman_rho": 0.8214285714285715, "tau": -0.628800594806671, "elapsed_sec": 51.67925548553467, "epoch_fa_scores": []}
171
+ {"epoch": 170, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.026938123628497124, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 52.92225956916809, "epoch_fa_scores": []}
172
+ {"epoch": 171, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.03574902564287186, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 53.24753546714783, "epoch_fa_scores": []}
173
+ {"epoch": 172, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.03590071201324463, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 52.157496213912964, "epoch_fa_scores": []}
174
+ {"epoch": 173, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.027752358466386795, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 51.309473514556885, "epoch_fa_scores": []}
175
+ {"epoch": 174, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.02034105733036995, "spearman_rho": 0.9285714285714288, "tau": -0.628800594806671, "elapsed_sec": 53.35213494300842, "epoch_fa_scores": []}
176
+ {"epoch": 175, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.026307709515094757, "spearman_rho": 0.8571428571428573, "tau": -0.628800594806671, "elapsed_sec": 53.93080544471741, "epoch_fa_scores": []}
177
+ {"epoch": 176, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.024820733815431595, "spearman_rho": 0.9285714285714288, "tau": -0.628800594806671, "elapsed_sec": 50.65537667274475, "epoch_fa_scores": []}
178
+ {"epoch": 177, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.03906227648258209, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 49.40525245666504, "epoch_fa_scores": []}
179
+ {"epoch": 178, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.039491571485996246, "spearman_rho": 0.9189562119494703, "tau": -0.628800594806671, "elapsed_sec": 51.506765365600586, "epoch_fa_scores": []}
180
+ {"epoch": 179, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.03770769014954567, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 47.55230140686035, "epoch_fa_scores": []}
181
+ {"epoch": 180, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.03701931610703468, "spearman_rho": 1.0, "tau": -0.628800594806671, "elapsed_sec": 54.40105676651001, "epoch_fa_scores": []}
182
+ {"epoch": 181, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 38, "mean_sigma": 0.028694238513708115, "spearman_rho": 0.9642857142857145, "tau": -0.628800594806671, "elapsed_sec": 48.927966356277466, "epoch_fa_scores": []}
183
+ {"epoch": 182, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.045816514641046524, "spearman_rho": 0.9636363636363635, "tau": -0.46170055270195004, "elapsed_sec": 52.90589213371277, "epoch_fa_scores": [-0.6891689896583557, -0.7592983841896057, -0.36975741386413574, -0.4647422134876251, -0.4410962164402008, -0.41751956939697266, -0.7021015882492065, -0.38262420892715454, -1.0250481367111206, -0.5725717544555664, -0.589357852935791, -0.665108859539032, -0.2005753368139267, -0.43774911761283875, -0.3755580186843872, -0.9421281814575195]}
184
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185
+ {"epoch": 184, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.041506554931402206, "spearman_rho": 0.9483326481409007, "tau": -0.46170055270195004, "elapsed_sec": 54.10499596595764, "epoch_fa_scores": []}
186
+ {"epoch": 185, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.0276272501796484, "spearman_rho": 0.8666666666666665, "tau": -0.46170055270195004, "elapsed_sec": 53.772603273391724, "epoch_fa_scores": []}
187
+ {"epoch": 186, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.04174606129527092, "spearman_rho": 0.9515151515151514, "tau": -0.46170055270195004, "elapsed_sec": 52.45606446266174, "epoch_fa_scores": []}
188
+ {"epoch": 187, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.04463072121143341, "spearman_rho": 0.9757575757575757, "tau": -0.46170055270195004, "elapsed_sec": 49.70233345031738, "epoch_fa_scores": []}
189
+ {"epoch": 188, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03353423252701759, "spearman_rho": 0.9636363636363635, "tau": -0.46170055270195004, "elapsed_sec": 51.681013345718384, "epoch_fa_scores": []}
190
+ {"epoch": 189, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.025003580376505852, "spearman_rho": 0.9151515151515152, "tau": -0.46170055270195004, "elapsed_sec": 53.80828666687012, "epoch_fa_scores": []}
191
+ {"epoch": 190, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.02503267675638199, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 53.304285764694214, "epoch_fa_scores": []}
192
+ {"epoch": 191, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03553900867700577, "spearman_rho": 0.9757575757575757, "tau": -0.46170055270195004, "elapsed_sec": 51.978357791900635, "epoch_fa_scores": []}
193
+ {"epoch": 192, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.02383573353290558, "spearman_rho": 0.9272727272727272, "tau": -0.46170055270195004, "elapsed_sec": 52.35620903968811, "epoch_fa_scores": []}
194
+ {"epoch": 193, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.04272083193063736, "spearman_rho": 0.9030303030303028, "tau": -0.46170055270195004, "elapsed_sec": 52.46021103858948, "epoch_fa_scores": []}
195
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196
+ {"epoch": 195, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.034056320786476135, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 50.11253833770752, "epoch_fa_scores": []}
197
+ {"epoch": 196, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03556869924068451, "spearman_rho": 0.9515151515151514, "tau": -0.46170055270195004, "elapsed_sec": 49.52013850212097, "epoch_fa_scores": []}
198
+ {"epoch": 197, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.045279450714588165, "spearman_rho": 0.9726488698881034, "tau": -0.46170055270195004, "elapsed_sec": 52.79029631614685, "epoch_fa_scores": []}
199
+ {"epoch": 198, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03313756361603737, "spearman_rho": 0.9757575757575757, "tau": -0.46170055270195004, "elapsed_sec": 52.02197480201721, "epoch_fa_scores": []}
200
+ {"epoch": 199, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03361940011382103, "spearman_rho": 0.9999999999999999, "tau": -0.46170055270195004, "elapsed_sec": 51.870864152908325, "epoch_fa_scores": []}
201
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202
+ {"epoch": 201, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.02783125825226307, "spearman_rho": 0.9999999999999999, "tau": -0.46170055270195004, "elapsed_sec": 51.29781937599182, "epoch_fa_scores": []}
203
+ {"epoch": 202, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.05369025096297264, "spearman_rho": 0.9848069807617046, "tau": -0.46170055270195004, "elapsed_sec": 53.39588379859924, "epoch_fa_scores": []}
204
+ {"epoch": 203, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.05932329595088959, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 51.1523802280426, "epoch_fa_scores": []}
205
+ {"epoch": 204, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.024918491020798683, "spearman_rho": 0.9393939393939393, "tau": -0.46170055270195004, "elapsed_sec": 51.665865898132324, "epoch_fa_scores": []}
206
+ {"epoch": 205, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.040438372641801834, "spearman_rho": 0.9030303030303028, "tau": -0.46170055270195004, "elapsed_sec": 49.27398157119751, "epoch_fa_scores": []}
207
+ {"epoch": 206, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03446406126022339, "spearman_rho": 0.9151515151515152, "tau": -0.46170055270195004, "elapsed_sec": 52.04107666015625, "epoch_fa_scores": []}
208
+ {"epoch": 207, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.05426220968365669, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 52.570966958999634, "epoch_fa_scores": []}
209
+ {"epoch": 208, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.030154572799801826, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 50.251304388046265, "epoch_fa_scores": []}
210
+ {"epoch": 209, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.05152908340096474, "spearman_rho": 0.9999999999999999, "tau": -0.46170055270195004, "elapsed_sec": 50.61126399040222, "epoch_fa_scores": []}
211
+ {"epoch": 210, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.0435420460999012, "spearman_rho": 0.9515151515151514, "tau": -0.46170055270195004, "elapsed_sec": 52.5542254447937, "epoch_fa_scores": []}
212
+ {"epoch": 211, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03521646931767464, "spearman_rho": 0.8545454545454544, "tau": -0.46170055270195004, "elapsed_sec": 50.8498899936676, "epoch_fa_scores": []}
213
+ {"epoch": 212, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.032790232449769974, "spearman_rho": 0.9515151515151514, "tau": -0.46170055270195004, "elapsed_sec": 53.04513764381409, "epoch_fa_scores": []}
214
+ {"epoch": 213, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.023870069533586502, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 51.15133547782898, "epoch_fa_scores": []}
215
+ {"epoch": 214, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.055194370448589325, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 52.874799489974976, "epoch_fa_scores": []}
216
+ {"epoch": 215, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.06120779737830162, "spearman_rho": 0.9393939393939393, "tau": -0.46170055270195004, "elapsed_sec": 51.69118356704712, "epoch_fa_scores": []}
217
+ {"epoch": 216, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.06670907884836197, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 53.84782934188843, "epoch_fa_scores": []}
218
+ {"epoch": 217, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03401787579059601, "spearman_rho": 0.9636363636363635, "tau": -0.46170055270195004, "elapsed_sec": 48.916016817092896, "epoch_fa_scores": []}
219
+ {"epoch": 218, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.02564162202179432, "spearman_rho": 0.9393939393939393, "tau": -0.46170055270195004, "elapsed_sec": 53.096007108688354, "epoch_fa_scores": []}
220
+ {"epoch": 219, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.04575248062610626, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 49.89222574234009, "epoch_fa_scores": []}
221
+ {"epoch": 220, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.030507998540997505, "spearman_rho": 0.9726488698881034, "tau": -0.46170055270195004, "elapsed_sec": 53.04124665260315, "epoch_fa_scores": []}
222
+ {"epoch": 221, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03922312334179878, "spearman_rho": 0.9515151515151514, "tau": -0.46170055270195004, "elapsed_sec": 53.267048358917236, "epoch_fa_scores": []}
223
+ {"epoch": 222, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03674638271331787, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 52.81956076622009, "epoch_fa_scores": []}
224
+ {"epoch": 223, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.040000203996896744, "spearman_rho": 0.9515151515151514, "tau": -0.46170055270195004, "elapsed_sec": 51.779480934143066, "epoch_fa_scores": []}
225
+ {"epoch": 224, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.040108174085617065, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 50.9139928817749, "epoch_fa_scores": []}
226
+ {"epoch": 225, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03864123672246933, "spearman_rho": 0.9515151515151514, "tau": -0.46170055270195004, "elapsed_sec": 52.48137378692627, "epoch_fa_scores": []}
227
+ {"epoch": 226, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.04602350294589996, "spearman_rho": 0.9515151515151514, "tau": -0.46170055270195004, "elapsed_sec": 51.49100112915039, "epoch_fa_scores": []}
228
+ {"epoch": 227, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.06215474382042885, "spearman_rho": 0.8303030303030302, "tau": -0.46170055270195004, "elapsed_sec": 48.68294811248779, "epoch_fa_scores": []}
229
+ {"epoch": 228, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.029917726293206215, "spearman_rho": 0.9999999999999999, "tau": -0.46170055270195004, "elapsed_sec": 50.55992293357849, "epoch_fa_scores": []}
230
+ {"epoch": 229, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.0429610013961792, "spearman_rho": 0.9393939393939393, "tau": -0.46170055270195004, "elapsed_sec": 47.778318881988525, "epoch_fa_scores": []}
231
+ {"epoch": 230, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.02299891598522663, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 53.20546579360962, "epoch_fa_scores": []}
232
+ {"epoch": 231, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.031173983588814735, "spearman_rho": 0.9151515151515152, "tau": -0.46170055270195004, "elapsed_sec": 51.19673252105713, "epoch_fa_scores": []}
233
+ {"epoch": 232, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.042341265827417374, "spearman_rho": 0.6727272727272726, "tau": -0.46170055270195004, "elapsed_sec": 49.58339738845825, "epoch_fa_scores": []}
234
+ {"epoch": 233, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.04701780900359154, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 51.7290141582489, "epoch_fa_scores": []}
235
+ {"epoch": 234, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.02664010040462017, "spearman_rho": 0.9757575757575757, "tau": -0.46170055270195004, "elapsed_sec": 53.8685142993927, "epoch_fa_scores": []}
236
+ {"epoch": 235, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.04991853982210159, "spearman_rho": 0.9272727272727272, "tau": -0.46170055270195004, "elapsed_sec": 52.11031770706177, "epoch_fa_scores": []}
237
+ {"epoch": 236, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03576896712183952, "spearman_rho": 0.9272727272727272, "tau": -0.46170055270195004, "elapsed_sec": 52.169270277023315, "epoch_fa_scores": []}
238
+ {"epoch": 237, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.030528999865055084, "spearman_rho": 0.9757575757575757, "tau": -0.46170055270195004, "elapsed_sec": 50.62338709831238, "epoch_fa_scores": []}
239
+ {"epoch": 238, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03820246458053589, "spearman_rho": 0.9636363636363635, "tau": -0.46170055270195004, "elapsed_sec": 48.49441313743591, "epoch_fa_scores": []}
240
+ {"epoch": 239, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03935004770755768, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 52.483195066452026, "epoch_fa_scores": []}
241
+ {"epoch": 240, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03289226070046425, "spearman_rho": 0.9636363636363635, "tau": -0.46170055270195004, "elapsed_sec": 49.6207480430603, "epoch_fa_scores": []}
242
+ {"epoch": 241, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.025130346417427063, "spearman_rho": 0.9393939393939393, "tau": -0.46170055270195004, "elapsed_sec": 50.288341760635376, "epoch_fa_scores": []}
243
+ {"epoch": 242, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03154365345835686, "spearman_rho": 0.9757575757575757, "tau": -0.46170055270195004, "elapsed_sec": 51.697094202041626, "epoch_fa_scores": []}
244
+ {"epoch": 243, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03739328309893608, "spearman_rho": 0.9636363636363635, "tau": -0.46170055270195004, "elapsed_sec": 51.03333377838135, "epoch_fa_scores": []}
245
+ {"epoch": 244, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.04647601768374443, "spearman_rho": 0.9878787878787878, "tau": -0.46170055270195004, "elapsed_sec": 51.32297134399414, "epoch_fa_scores": []}
246
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247
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251
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252
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253
+ {"epoch": 252, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.03323989361524582, "spearman_rho": 0.9393939393939393, "tau": -0.46170055270195004, "elapsed_sec": 51.92036437988281, "epoch_fa_scores": []}
254
+ {"epoch": 253, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.038256868720054626, "spearman_rho": 0.8632258720256917, "tau": -0.46170055270195004, "elapsed_sec": 51.34566855430603, "epoch_fa_scores": []}
255
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256
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258
+ {"epoch": 257, "f_star": -0.02280718833208084, "best_smiles": "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(Cl)nn2)CC1", "n_oracle_calls": 54, "mean_sigma": 0.027134446427226067, "spearman_rho": 0.9636363636363635, "tau": -0.46170055270195004, "elapsed_sec": 51.831899881362915, "epoch_fa_scores": []}
259
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260
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263
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268
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bandit_ts_cvar/results.json ADDED
The diff for this file is too large to render. See raw diff
 
bandit_ts_upper_cvar/active_loop_log.jsonl ADDED
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+ {"epoch": 9, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.009631008841097355, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 48.316001176834106, "epoch_fa_scores": []}
11
+ {"epoch": 10, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.011366257444024086, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 53.480085372924805, "epoch_fa_scores": []}
12
+ {"epoch": 11, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.0079633304849267, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 50.05858016014099, "epoch_fa_scores": []}
13
+ {"epoch": 12, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.008208072744309902, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 52.23920440673828, "epoch_fa_scores": []}
14
+ {"epoch": 13, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.008377372287213802, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 53.36669969558716, "epoch_fa_scores": []}
15
+ {"epoch": 14, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.006439956370741129, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 52.622488498687744, "epoch_fa_scores": []}
16
+ {"epoch": 15, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.007713025901466608, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 53.050883769989014, "epoch_fa_scores": []}
17
+ {"epoch": 16, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.007581218145787716, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 53.018558502197266, "epoch_fa_scores": []}
18
+ {"epoch": 17, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.009821629151701927, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 49.33813452720642, "epoch_fa_scores": []}
19
+ {"epoch": 18, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.01126187201589346, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 52.545936584472656, "epoch_fa_scores": []}
20
+ {"epoch": 19, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.009280689992010593, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 51.38905930519104, "epoch_fa_scores": []}
21
+ {"epoch": 20, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.009164296090602875, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 50.2195520401001, "epoch_fa_scores": []}
22
+ {"epoch": 21, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 25, "mean_sigma": 0.007951421663165092, "spearman_rho": 0.9999999999999999, "tau": -0.9177388787269591, "elapsed_sec": 52.1506187915802, "epoch_fa_scores": []}
23
+ {"epoch": 22, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.008310805074870586, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 53.27286386489868, "epoch_fa_scores": [-0.6740162372589111]}
24
+ {"epoch": 23, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.008087885566055775, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.17709469795227, "epoch_fa_scores": []}
25
+ {"epoch": 24, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010097694583237171, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.23611068725586, "epoch_fa_scores": []}
26
+ {"epoch": 25, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010124966502189636, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 50.66432070732117, "epoch_fa_scores": []}
27
+ {"epoch": 26, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.009659563191235065, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 53.07189583778381, "epoch_fa_scores": []}
28
+ {"epoch": 27, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.008814810775220394, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 54.02336835861206, "epoch_fa_scores": []}
29
+ {"epoch": 28, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010186616331338882, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.793925046920776, "epoch_fa_scores": []}
30
+ {"epoch": 29, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.009264885447919369, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 53.012577056884766, "epoch_fa_scores": []}
31
+ {"epoch": 30, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.008142705075442791, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 50.949880838394165, "epoch_fa_scores": []}
32
+ {"epoch": 31, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.008936112746596336, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 54.35935854911804, "epoch_fa_scores": []}
33
+ {"epoch": 32, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010117235593497753, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 53.391265630722046, "epoch_fa_scores": []}
34
+ {"epoch": 33, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.009712464176118374, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 50.77129554748535, "epoch_fa_scores": []}
35
+ {"epoch": 34, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.009623880498111248, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.27439904212952, "epoch_fa_scores": []}
36
+ {"epoch": 35, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.011111118830740452, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 51.856781244277954, "epoch_fa_scores": []}
37
+ {"epoch": 36, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010347901843488216, "spearman_rho": 0.8999999999999998, "tau": -0.8971005082130432, "elapsed_sec": 51.37883448600769, "epoch_fa_scores": []}
38
+ {"epoch": 37, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.01198191661387682, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.984832525253296, "epoch_fa_scores": []}
39
+ {"epoch": 38, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.01022862084209919, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 51.488279819488525, "epoch_fa_scores": []}
40
+ {"epoch": 39, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.00932774692773819, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 48.58259081840515, "epoch_fa_scores": []}
41
+ {"epoch": 40, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.011159238405525684, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 50.852253913879395, "epoch_fa_scores": []}
42
+ {"epoch": 41, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.009255103766918182, "spearman_rho": 0.8999999999999998, "tau": -0.8971005082130432, "elapsed_sec": 53.586023569107056, "epoch_fa_scores": []}
43
+ {"epoch": 42, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.008683045394718647, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 51.699135065078735, "epoch_fa_scores": []}
44
+ {"epoch": 43, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.012817789800465107, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 53.40473437309265, "epoch_fa_scores": []}
45
+ {"epoch": 44, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.009753827005624771, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 49.765296459198, "epoch_fa_scores": []}
46
+ {"epoch": 45, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.011456749401986599, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.659135580062866, "epoch_fa_scores": []}
47
+ {"epoch": 46, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.008722763508558273, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 53.05425405502319, "epoch_fa_scores": []}
48
+ {"epoch": 47, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010166987776756287, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 51.892982482910156, "epoch_fa_scores": []}
49
+ {"epoch": 48, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010815276764333248, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 51.66724491119385, "epoch_fa_scores": []}
50
+ {"epoch": 49, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.012672691605985165, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.96612000465393, "epoch_fa_scores": []}
51
+ {"epoch": 50, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.012315296567976475, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 51.23033905029297, "epoch_fa_scores": []}
52
+ {"epoch": 51, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.01070219837129116, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 50.81901025772095, "epoch_fa_scores": []}
53
+ {"epoch": 52, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.008430613204836845, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.52913236618042, "epoch_fa_scores": []}
54
+ {"epoch": 53, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.008566664531826973, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 50.64005708694458, "epoch_fa_scores": []}
55
+ {"epoch": 54, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.009710198268294334, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.475847005844116, "epoch_fa_scores": []}
56
+ {"epoch": 55, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010669255629181862, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.878265619277954, "epoch_fa_scores": []}
57
+ {"epoch": 56, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010468192398548126, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 54.16566729545593, "epoch_fa_scores": []}
58
+ {"epoch": 57, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.013735489919781685, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 51.057557821273804, "epoch_fa_scores": []}
59
+ {"epoch": 58, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.011910723522305489, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 51.77310395240784, "epoch_fa_scores": []}
60
+ {"epoch": 59, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010995512828230858, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 53.24483585357666, "epoch_fa_scores": []}
61
+ {"epoch": 60, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010232782922685146, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 53.133129358291626, "epoch_fa_scores": []}
62
+ {"epoch": 61, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010608122684061527, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 50.77437686920166, "epoch_fa_scores": []}
63
+ {"epoch": 62, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.009294466115534306, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 53.177430629730225, "epoch_fa_scores": []}
64
+ {"epoch": 63, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010436849668622017, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 51.694859743118286, "epoch_fa_scores": []}
65
+ {"epoch": 64, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.012939803302288055, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 53.56300091743469, "epoch_fa_scores": []}
66
+ {"epoch": 65, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.012986941263079643, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 51.55514216423035, "epoch_fa_scores": []}
67
+ {"epoch": 66, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.009344031102955341, "spearman_rho": 0.8999999999999998, "tau": -0.8971005082130432, "elapsed_sec": 47.38501977920532, "epoch_fa_scores": []}
68
+ {"epoch": 67, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.012629047967493534, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.851561546325684, "epoch_fa_scores": []}
69
+ {"epoch": 68, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.009074589237570763, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.56610441207886, "epoch_fa_scores": []}
70
+ {"epoch": 69, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.013956412672996521, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.734970569610596, "epoch_fa_scores": []}
71
+ {"epoch": 70, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.010262885130941868, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 51.121140480041504, "epoch_fa_scores": []}
72
+ {"epoch": 71, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.01796565018594265, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 48.43582224845886, "epoch_fa_scores": []}
73
+ {"epoch": 72, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.019013071432709694, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 52.26361894607544, "epoch_fa_scores": []}
74
+ {"epoch": 73, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 26, "mean_sigma": 0.015246079303324223, "spearman_rho": 0.9999999999999999, "tau": -0.8971005082130432, "elapsed_sec": 51.26827144622803, "epoch_fa_scores": []}
75
+ {"epoch": 74, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 27, "mean_sigma": 0.01790849305689335, "spearman_rho": 0.9999999999999999, "tau": -0.8894181370735168, "elapsed_sec": 54.36187434196472, "epoch_fa_scores": [-0.6347488164901733]}
76
+ {"epoch": 75, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 27, "mean_sigma": 0.014975951984524727, "spearman_rho": 0.9999999999999999, "tau": -0.8894181370735168, "elapsed_sec": 52.58444356918335, "epoch_fa_scores": []}
77
+ {"epoch": 76, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 27, "mean_sigma": 0.011579536832869053, "spearman_rho": 0.9999999999999999, "tau": -0.8894181370735168, "elapsed_sec": 52.3525607585907, "epoch_fa_scores": []}
78
+ {"epoch": 77, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 27, "mean_sigma": 0.016426896676421165, "spearman_rho": 0.9999999999999999, "tau": -0.8894181370735168, "elapsed_sec": 48.84972262382507, "epoch_fa_scores": []}
79
+ {"epoch": 78, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 27, "mean_sigma": 0.011883883737027645, "spearman_rho": 0.9999999999999999, "tau": -0.8894181370735168, "elapsed_sec": 52.29142713546753, "epoch_fa_scores": []}
80
+ {"epoch": 79, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 27, "mean_sigma": 0.012996955774724483, "spearman_rho": 0.9999999999999999, "tau": -0.8894181370735168, "elapsed_sec": 50.58499479293823, "epoch_fa_scores": []}
81
+ {"epoch": 80, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 27, "mean_sigma": 0.01789560727775097, "spearman_rho": 0.9999999999999999, "tau": -0.8894181370735168, "elapsed_sec": 52.510196685791016, "epoch_fa_scores": []}
82
+ {"epoch": 81, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 27, "mean_sigma": 0.01563432067632675, "spearman_rho": 0.9999999999999999, "tau": -0.8894181370735168, "elapsed_sec": 53.332988023757935, "epoch_fa_scores": []}
83
+ {"epoch": 82, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.0131564661860466, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 53.59485960006714, "epoch_fa_scores": [-0.6125704050064087]}
84
+ {"epoch": 83, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.016115542501211166, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 53.2208526134491, "epoch_fa_scores": []}
85
+ {"epoch": 84, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.011343197897076607, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 51.47583842277527, "epoch_fa_scores": []}
86
+ {"epoch": 85, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.013539032079279423, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 51.057533979415894, "epoch_fa_scores": []}
87
+ {"epoch": 86, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.012652856297791004, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 53.328863859176636, "epoch_fa_scores": []}
88
+ {"epoch": 87, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.011523943394422531, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 52.57920694351196, "epoch_fa_scores": []}
89
+ {"epoch": 88, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.012598961591720581, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 52.53249526023865, "epoch_fa_scores": []}
90
+ {"epoch": 89, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.018328452482819557, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 51.07544279098511, "epoch_fa_scores": []}
91
+ {"epoch": 90, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.016049601137638092, "spearman_rho": 0.8999999999999998, "tau": -0.8337437868118285, "elapsed_sec": 51.68350291252136, "epoch_fa_scores": []}
92
+ {"epoch": 91, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.010245670564472675, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 55.07362389564514, "epoch_fa_scores": []}
93
+ {"epoch": 92, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.010514883324503899, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 53.926708459854126, "epoch_fa_scores": []}
94
+ {"epoch": 93, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.015661293640732765, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 53.164896965026855, "epoch_fa_scores": []}
95
+ {"epoch": 94, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.01471672859042883, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 52.46917414665222, "epoch_fa_scores": []}
96
+ {"epoch": 95, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.018190234899520874, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 51.872859477996826, "epoch_fa_scores": []}
97
+ {"epoch": 96, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.013647446408867836, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 51.050058364868164, "epoch_fa_scores": []}
98
+ {"epoch": 97, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.014413286931812763, "spearman_rho": 0.8999999999999998, "tau": -0.8337437868118285, "elapsed_sec": 53.104904651641846, "epoch_fa_scores": []}
99
+ {"epoch": 98, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.01466403715312481, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 51.77699589729309, "epoch_fa_scores": []}
100
+ {"epoch": 99, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.013030190952122211, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 52.04764223098755, "epoch_fa_scores": []}
101
+ {"epoch": 100, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.014004499651491642, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 50.80149745941162, "epoch_fa_scores": []}
102
+ {"epoch": 101, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.019549421966075897, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 53.62468409538269, "epoch_fa_scores": []}
103
+ {"epoch": 102, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.019992925226688385, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 51.55733847618103, "epoch_fa_scores": []}
104
+ {"epoch": 103, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.018382785841822624, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 49.32261300086975, "epoch_fa_scores": []}
105
+ {"epoch": 104, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.016413193196058273, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 54.08803462982178, "epoch_fa_scores": []}
106
+ {"epoch": 105, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.0181282926350832, "spearman_rho": 0.8999999999999998, "tau": -0.8337437868118285, "elapsed_sec": 50.262606620788574, "epoch_fa_scores": []}
107
+ {"epoch": 106, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.015304879285395145, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 50.02245330810547, "epoch_fa_scores": []}
108
+ {"epoch": 107, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.018101930618286133, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 52.04415559768677, "epoch_fa_scores": []}
109
+ {"epoch": 108, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.014175922609865665, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 50.615410804748535, "epoch_fa_scores": []}
110
+ {"epoch": 109, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.012813257984817028, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 51.36768865585327, "epoch_fa_scores": []}
111
+ {"epoch": 110, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.019651010632514954, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 52.19631361961365, "epoch_fa_scores": []}
112
+ {"epoch": 111, "f_star": -0.5906561613082886, "best_smiles": "Cc1nc2c(s1)CCN(C(=O)NCc1ccc(I)cc1)C2", "n_oracle_calls": 28, "mean_sigma": 0.017757495865225792, "spearman_rho": 0.9999999999999999, "tau": -0.8337437868118285, "elapsed_sec": 51.41958451271057, "epoch_fa_scores": []}
113
+ {"epoch": 112, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.012424204498529434, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 50.84406304359436, "epoch_fa_scores": [-0.1277526468038559]}
114
+ {"epoch": 113, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.012056807056069374, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 51.835784912109375, "epoch_fa_scores": []}
115
+ {"epoch": 114, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.013218842446804047, "spearman_rho": 0.8999999999999998, "tau": -0.7808120012283324, "elapsed_sec": 50.77118897438049, "epoch_fa_scores": []}
116
+ {"epoch": 115, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.01325670350342989, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 52.756147146224976, "epoch_fa_scores": []}
117
+ {"epoch": 116, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.014745013788342476, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 47.59877943992615, "epoch_fa_scores": []}
118
+ {"epoch": 117, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.019860122352838516, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 47.997422218322754, "epoch_fa_scores": []}
119
+ {"epoch": 118, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.012888649478554726, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 50.84890651702881, "epoch_fa_scores": []}
120
+ {"epoch": 119, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.012834782712161541, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 53.34045338630676, "epoch_fa_scores": []}
121
+ {"epoch": 120, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.021379249170422554, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 51.407073736190796, "epoch_fa_scores": []}
122
+ {"epoch": 121, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.022249627858400345, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 52.404792070388794, "epoch_fa_scores": []}
123
+ {"epoch": 122, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.013371061533689499, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 49.78848123550415, "epoch_fa_scores": []}
124
+ {"epoch": 123, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.014582807198166847, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 52.59244394302368, "epoch_fa_scores": []}
125
+ {"epoch": 124, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.01192653551697731, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 50.30216312408447, "epoch_fa_scores": []}
126
+ {"epoch": 125, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.01487086433917284, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 51.55125880241394, "epoch_fa_scores": []}
127
+ {"epoch": 126, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.015856193378567696, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 47.56650495529175, "epoch_fa_scores": []}
128
+ {"epoch": 127, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.012704293243587017, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 52.50397801399231, "epoch_fa_scores": []}
129
+ {"epoch": 128, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.015535805374383926, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 51.88538098335266, "epoch_fa_scores": []}
130
+ {"epoch": 129, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.019865669310092926, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 52.48787593841553, "epoch_fa_scores": []}
131
+ {"epoch": 130, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.015022523701190948, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 53.726820945739746, "epoch_fa_scores": []}
132
+ {"epoch": 131, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.017015766352415085, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 53.003085136413574, "epoch_fa_scores": []}
133
+ {"epoch": 132, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.021210527047514915, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 51.78683376312256, "epoch_fa_scores": []}
134
+ {"epoch": 133, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.013649790547788143, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 53.0777006149292, "epoch_fa_scores": []}
135
+ {"epoch": 134, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.02388317510485649, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 52.684067726135254, "epoch_fa_scores": []}
136
+ {"epoch": 135, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.019512571394443512, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 53.398380756378174, "epoch_fa_scores": []}
137
+ {"epoch": 136, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.0182208139449358, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 52.30768013000488, "epoch_fa_scores": []}
138
+ {"epoch": 137, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.02043907903134823, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 51.410844802856445, "epoch_fa_scores": []}
139
+ {"epoch": 138, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.018784405663609505, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 51.22530174255371, "epoch_fa_scores": []}
140
+ {"epoch": 139, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.01681262068450451, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 51.295517921447754, "epoch_fa_scores": []}
141
+ {"epoch": 140, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.018557416275143623, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 53.23902940750122, "epoch_fa_scores": []}
142
+ {"epoch": 141, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.017917923629283905, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 52.51495981216431, "epoch_fa_scores": []}
143
+ {"epoch": 142, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.014653310179710388, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 51.804234743118286, "epoch_fa_scores": []}
144
+ {"epoch": 143, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.027661191299557686, "spearman_rho": 0.9999999999999999, "tau": -0.7808120012283324, "elapsed_sec": 52.589882612228394, "epoch_fa_scores": []}
145
+ {"epoch": 144, "f_star": -0.1277526468038559, "best_smiles": "Cc1nc(-c2ccc(Br)c(Cl)c2)n(Cc2ccc(Br)cc2)c1Br", "n_oracle_calls": 29, "mean_sigma": 0.020456263795495033, "spearman_rho": 0.8999999999999998, "tau": -0.7808120012283324, "elapsed_sec": 51.56856822967529, "epoch_fa_scores": []}
146
+ {"epoch": 145, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.028236111626029015, "spearman_rho": 1.0, "tau": -0.738937711715698, "elapsed_sec": 50.29660892486572, "epoch_fa_scores": [-0.09684834629297256]}
147
+ {"epoch": 146, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.02495577558875084, "spearman_rho": 1.0, "tau": -0.738937711715698, "elapsed_sec": 53.24324369430542, "epoch_fa_scores": []}
148
+ {"epoch": 147, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.028147080913186073, "spearman_rho": 1.0, "tau": -0.738937711715698, "elapsed_sec": 51.85073494911194, "epoch_fa_scores": []}
149
+ {"epoch": 148, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.024929139763116837, "spearman_rho": 1.0, "tau": -0.738937711715698, "elapsed_sec": 54.329445362091064, "epoch_fa_scores": []}
150
+ {"epoch": 149, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.024536138400435448, "spearman_rho": 1.0, "tau": -0.738937711715698, "elapsed_sec": 48.85348916053772, "epoch_fa_scores": []}
151
+ {"epoch": 150, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.02098548412322998, "spearman_rho": 1.0, "tau": -0.738937711715698, "elapsed_sec": 51.3395299911499, "epoch_fa_scores": []}
152
+ {"epoch": 151, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.02146468497812748, "spearman_rho": 0.942857142857143, "tau": -0.738937711715698, "elapsed_sec": 52.63997745513916, "epoch_fa_scores": []}
153
+ {"epoch": 152, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.018550045788288116, "spearman_rho": 1.0, "tau": -0.738937711715698, "elapsed_sec": 51.57237935066223, "epoch_fa_scores": []}
154
+ {"epoch": 153, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.019702915102243423, "spearman_rho": 1.0, "tau": -0.738937711715698, "elapsed_sec": 49.2255961894989, "epoch_fa_scores": []}
155
+ {"epoch": 154, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.03177304565906525, "spearman_rho": 1.0, "tau": -0.738937711715698, "elapsed_sec": 52.18190383911133, "epoch_fa_scores": []}
156
+ {"epoch": 155, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.019554326310753822, "spearman_rho": 1.0, "tau": -0.738937711715698, "elapsed_sec": 50.570228576660156, "epoch_fa_scores": []}
157
+ {"epoch": 156, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.026303865015506744, "spearman_rho": 0.942857142857143, "tau": -0.738937711715698, "elapsed_sec": 53.50462579727173, "epoch_fa_scores": []}
158
+ {"epoch": 157, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.01961185410618782, "spearman_rho": 1.0, "tau": -0.738937711715698, "elapsed_sec": 52.75909447669983, "epoch_fa_scores": []}
159
+ {"epoch": 158, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 30, "mean_sigma": 0.027057863771915436, "spearman_rho": 0.942857142857143, "tau": -0.738937711715698, "elapsed_sec": 52.378849029541016, "epoch_fa_scores": []}
160
+ {"epoch": 159, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.01910472847521305, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.29018211364746, "epoch_fa_scores": [-0.5752210021018982]}
161
+ {"epoch": 160, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02345399558544159, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 49.803974866867065, "epoch_fa_scores": []}
162
+ {"epoch": 161, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.015788855031132698, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 53.9449782371521, "epoch_fa_scores": []}
163
+ {"epoch": 162, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02046258933842182, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 53.80445909500122, "epoch_fa_scores": []}
164
+ {"epoch": 163, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.018436100333929062, "spearman_rho": 0.8285714285714287, "tau": -0.6740162372589111, "elapsed_sec": 51.77470898628235, "epoch_fa_scores": []}
165
+ {"epoch": 164, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02722161076962948, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 52.863728284835815, "epoch_fa_scores": []}
166
+ {"epoch": 165, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.021244550123810768, "spearman_rho": 0.8285714285714287, "tau": -0.6740162372589111, "elapsed_sec": 49.68787860870361, "epoch_fa_scores": []}
167
+ {"epoch": 166, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03695443272590637, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.87300181388855, "epoch_fa_scores": []}
168
+ {"epoch": 167, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.028829140588641167, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.15265464782715, "epoch_fa_scores": []}
169
+ {"epoch": 168, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.027146922424435616, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.96293234825134, "epoch_fa_scores": []}
170
+ {"epoch": 169, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03199920430779457, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.11039137840271, "epoch_fa_scores": []}
171
+ {"epoch": 170, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.023708753287792206, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.09895634651184, "epoch_fa_scores": []}
172
+ {"epoch": 171, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02433454804122448, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 48.90384602546692, "epoch_fa_scores": []}
173
+ {"epoch": 172, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.021881986409425735, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.206679344177246, "epoch_fa_scores": []}
174
+ {"epoch": 173, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.017549483105540276, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.46184992790222, "epoch_fa_scores": []}
175
+ {"epoch": 174, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.023436468094587326, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.4108190536499, "epoch_fa_scores": []}
176
+ {"epoch": 175, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.01718427799642086, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.028565883636475, "epoch_fa_scores": []}
177
+ {"epoch": 176, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.017525574192404747, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 50.99601602554321, "epoch_fa_scores": []}
178
+ {"epoch": 177, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.028562456369400024, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 48.35345387458801, "epoch_fa_scores": []}
179
+ {"epoch": 178, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02181258797645569, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 51.020265102386475, "epoch_fa_scores": []}
180
+ {"epoch": 179, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03379606083035469, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 47.78798747062683, "epoch_fa_scores": []}
181
+ {"epoch": 180, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.022631747648119926, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 49.318697929382324, "epoch_fa_scores": []}
182
+ {"epoch": 181, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.017908859997987747, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 47.367223501205444, "epoch_fa_scores": []}
183
+ {"epoch": 182, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02809980884194374, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.60581827163696, "epoch_fa_scores": []}
184
+ {"epoch": 183, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.025727171450853348, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 44.126848220825195, "epoch_fa_scores": []}
185
+ {"epoch": 184, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02069942280650139, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 46.27258253097534, "epoch_fa_scores": []}
186
+ {"epoch": 185, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.020550722256302834, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 43.773234367370605, "epoch_fa_scores": []}
187
+ {"epoch": 186, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.015422850847244263, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.15566325187683, "epoch_fa_scores": []}
188
+ {"epoch": 187, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.018482109531760216, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 44.7099552154541, "epoch_fa_scores": []}
189
+ {"epoch": 188, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.022149914875626564, "spearman_rho": 0.8285714285714287, "tau": -0.6740162372589111, "elapsed_sec": 49.45814538002014, "epoch_fa_scores": []}
190
+ {"epoch": 189, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03183145448565483, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 46.67720079421997, "epoch_fa_scores": []}
191
+ {"epoch": 190, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.029303105548024178, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 48.96453523635864, "epoch_fa_scores": []}
192
+ {"epoch": 191, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.04155036434531212, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.99802923202515, "epoch_fa_scores": []}
193
+ {"epoch": 192, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02792978286743164, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.64239835739136, "epoch_fa_scores": []}
194
+ {"epoch": 193, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02174360677599907, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 47.1983597278595, "epoch_fa_scores": []}
195
+ {"epoch": 194, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03689718618988991, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 45.52498245239258, "epoch_fa_scores": []}
196
+ {"epoch": 195, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.030145712196826935, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.49425029754639, "epoch_fa_scores": []}
197
+ {"epoch": 196, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03990986943244934, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 49.184930086135864, "epoch_fa_scores": []}
198
+ {"epoch": 197, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02726094238460064, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.44968867301941, "epoch_fa_scores": []}
199
+ {"epoch": 198, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03790399432182312, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 50.82833552360535, "epoch_fa_scores": []}
200
+ {"epoch": 199, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.023472344502806664, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 49.87510967254639, "epoch_fa_scores": []}
201
+ {"epoch": 200, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02142012119293213, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 50.72198128700256, "epoch_fa_scores": []}
202
+ {"epoch": 201, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.029700862243771553, "spearman_rho": 0.8285714285714287, "tau": -0.6740162372589111, "elapsed_sec": 51.54875922203064, "epoch_fa_scores": []}
203
+ {"epoch": 202, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03402150794863701, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 48.70711016654968, "epoch_fa_scores": []}
204
+ {"epoch": 203, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.04537571966648102, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.9496636390686, "epoch_fa_scores": []}
205
+ {"epoch": 204, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.026234813034534454, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.0320086479187, "epoch_fa_scores": []}
206
+ {"epoch": 205, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.016683654859662056, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.13506770133972, "epoch_fa_scores": []}
207
+ {"epoch": 206, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.038702383637428284, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 46.78099322319031, "epoch_fa_scores": []}
208
+ {"epoch": 207, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.030341891571879387, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 44.86241388320923, "epoch_fa_scores": []}
209
+ {"epoch": 208, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.028599662706255913, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 49.04916524887085, "epoch_fa_scores": []}
210
+ {"epoch": 209, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.041201867163181305, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.75488090515137, "epoch_fa_scores": []}
211
+ {"epoch": 210, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.028631078079342842, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.49411416053772, "epoch_fa_scores": []}
212
+ {"epoch": 211, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02984437718987465, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.99915337562561, "epoch_fa_scores": []}
213
+ {"epoch": 212, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.038585275411605835, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 47.945751428604126, "epoch_fa_scores": []}
214
+ {"epoch": 213, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03751635551452637, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 48.862284898757935, "epoch_fa_scores": []}
215
+ {"epoch": 214, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.026096662506461143, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.939565658569336, "epoch_fa_scores": []}
216
+ {"epoch": 215, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02148883044719696, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 48.685707569122314, "epoch_fa_scores": []}
217
+ {"epoch": 216, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.026709692552685738, "spearman_rho": 0.8857142857142858, "tau": -0.6740162372589111, "elapsed_sec": 50.87191081047058, "epoch_fa_scores": []}
218
+ {"epoch": 217, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03178383409976959, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.06275677680969, "epoch_fa_scores": []}
219
+ {"epoch": 218, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.026365622878074646, "spearman_rho": 0.8857142857142858, "tau": -0.6740162372589111, "elapsed_sec": 51.112324476242065, "epoch_fa_scores": []}
220
+ {"epoch": 219, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.040271028876304626, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 47.90538573265076, "epoch_fa_scores": []}
221
+ {"epoch": 220, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02816559001803398, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.94206213951111, "epoch_fa_scores": []}
222
+ {"epoch": 221, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.04199763014912605, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 51.044748067855835, "epoch_fa_scores": []}
223
+ {"epoch": 222, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.044052500277757645, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 50.534968852996826, "epoch_fa_scores": []}
224
+ {"epoch": 223, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.0234423466026783, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 48.25741410255432, "epoch_fa_scores": []}
225
+ {"epoch": 224, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.09105748683214188, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.05356311798096, "epoch_fa_scores": []}
226
+ {"epoch": 225, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.04700348898768425, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.130535364151, "epoch_fa_scores": []}
227
+ {"epoch": 226, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.021798061206936836, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 51.076943159103394, "epoch_fa_scores": []}
228
+ {"epoch": 227, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.04367750883102417, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.94696545600891, "epoch_fa_scores": []}
229
+ {"epoch": 228, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.044745735824108124, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.19061636924744, "epoch_fa_scores": []}
230
+ {"epoch": 229, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.05026784539222717, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 51.11990523338318, "epoch_fa_scores": []}
231
+ {"epoch": 230, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.026542451232671738, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.85261535644531, "epoch_fa_scores": []}
232
+ {"epoch": 231, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.032662466168403625, "spearman_rho": 0.8857142857142858, "tau": -0.6740162372589111, "elapsed_sec": 49.881752252578735, "epoch_fa_scores": []}
233
+ {"epoch": 232, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.051903579384088516, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.212395906448364, "epoch_fa_scores": []}
234
+ {"epoch": 233, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.04476569965481758, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.80973768234253, "epoch_fa_scores": []}
235
+ {"epoch": 234, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.026814622804522514, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 46.0822548866272, "epoch_fa_scores": []}
236
+ {"epoch": 235, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.05084678903222084, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 51.140127658843994, "epoch_fa_scores": []}
237
+ {"epoch": 236, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.058178890496492386, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.92646789550781, "epoch_fa_scores": []}
238
+ {"epoch": 237, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03213167563080788, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 49.63697123527527, "epoch_fa_scores": []}
239
+ {"epoch": 238, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.04388643056154251, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.13488698005676, "epoch_fa_scores": []}
240
+ {"epoch": 239, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.028414346277713776, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.43042969703674, "epoch_fa_scores": []}
241
+ {"epoch": 240, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.025103071704506874, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 48.281760931015015, "epoch_fa_scores": []}
242
+ {"epoch": 241, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.018699852749705315, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.3416531085968, "epoch_fa_scores": []}
243
+ {"epoch": 242, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.033443424850702286, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 51.567837953567505, "epoch_fa_scores": []}
244
+ {"epoch": 243, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.032377902418375015, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.90946626663208, "epoch_fa_scores": []}
245
+ {"epoch": 244, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.060668863356113434, "spearman_rho": 0.7714285714285715, "tau": -0.6740162372589111, "elapsed_sec": 49.2738823890686, "epoch_fa_scores": []}
246
+ {"epoch": 245, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.038885585963726044, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.65431475639343, "epoch_fa_scores": []}
247
+ {"epoch": 246, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.0334954708814621, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 48.153186559677124, "epoch_fa_scores": []}
248
+ {"epoch": 247, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.062279656529426575, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 50.60789489746094, "epoch_fa_scores": []}
249
+ {"epoch": 248, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.04108366370201111, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 48.41085958480835, "epoch_fa_scores": []}
250
+ {"epoch": 249, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.020008111372590065, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 48.77691841125488, "epoch_fa_scores": []}
251
+ {"epoch": 250, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03119470179080963, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.41189479827881, "epoch_fa_scores": []}
252
+ {"epoch": 251, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03163597360253334, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 46.994595766067505, "epoch_fa_scores": []}
253
+ {"epoch": 252, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.039898987859487534, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.27166128158569, "epoch_fa_scores": []}
254
+ {"epoch": 253, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02453242428600788, "spearman_rho": 0.7714285714285715, "tau": -0.6740162372589111, "elapsed_sec": 43.803560733795166, "epoch_fa_scores": []}
255
+ {"epoch": 254, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.040153779089450836, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 42.51990795135498, "epoch_fa_scores": []}
256
+ {"epoch": 255, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.046734314411878586, "spearman_rho": 0.8857142857142858, "tau": -0.6740162372589111, "elapsed_sec": 43.20987558364868, "epoch_fa_scores": []}
257
+ {"epoch": 256, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03541763871908188, "spearman_rho": 0.7714285714285715, "tau": -0.6740162372589111, "elapsed_sec": 43.91282796859741, "epoch_fa_scores": []}
258
+ {"epoch": 257, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.026076296344399452, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 48.46168756484985, "epoch_fa_scores": []}
259
+ {"epoch": 258, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.0454011932015419, "spearman_rho": 0.7714285714285715, "tau": -0.6740162372589111, "elapsed_sec": 47.22712254524231, "epoch_fa_scores": []}
260
+ {"epoch": 259, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03781059384346008, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 45.21272301673889, "epoch_fa_scores": []}
261
+ {"epoch": 260, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03409459441900253, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.57591938972473, "epoch_fa_scores": []}
262
+ {"epoch": 261, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03139997273683548, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 48.36848306655884, "epoch_fa_scores": []}
263
+ {"epoch": 262, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.023779766634106636, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 48.48170447349548, "epoch_fa_scores": []}
264
+ {"epoch": 263, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.029282117262482643, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.621198415756226, "epoch_fa_scores": []}
265
+ {"epoch": 264, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.031056014820933342, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 46.691065311431885, "epoch_fa_scores": []}
266
+ {"epoch": 265, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.040712326765060425, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 48.69621920585632, "epoch_fa_scores": []}
267
+ {"epoch": 266, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03534543886780739, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 44.06491947174072, "epoch_fa_scores": []}
268
+ {"epoch": 267, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.029050452634692192, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 46.95441222190857, "epoch_fa_scores": []}
269
+ {"epoch": 268, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.04200118035078049, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 46.184659004211426, "epoch_fa_scores": []}
270
+ {"epoch": 269, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.049267251044511795, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 44.504685163497925, "epoch_fa_scores": []}
271
+ {"epoch": 270, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03379964828491211, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.62457036972046, "epoch_fa_scores": []}
272
+ {"epoch": 271, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03905138000845909, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 50.80084705352783, "epoch_fa_scores": []}
273
+ {"epoch": 272, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03617576137185097, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 49.41494131088257, "epoch_fa_scores": []}
274
+ {"epoch": 273, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.041907552629709244, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 51.349010705947876, "epoch_fa_scores": []}
275
+ {"epoch": 274, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03551437333226204, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 49.260985136032104, "epoch_fa_scores": []}
276
+ {"epoch": 275, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.05832700431346893, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 48.502023696899414, "epoch_fa_scores": []}
277
+ {"epoch": 276, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.0402475968003273, "spearman_rho": 0.7714285714285715, "tau": -0.6740162372589111, "elapsed_sec": 53.211185455322266, "epoch_fa_scores": []}
278
+ {"epoch": 277, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.02742398902773857, "spearman_rho": 0.8857142857142858, "tau": -0.6740162372589111, "elapsed_sec": 49.37518572807312, "epoch_fa_scores": []}
279
+ {"epoch": 278, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.029350418597459793, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 50.62647366523743, "epoch_fa_scores": []}
280
+ {"epoch": 279, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.08591897785663605, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 51.05891680717468, "epoch_fa_scores": []}
281
+ {"epoch": 280, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.050857603549957275, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 47.400635719299316, "epoch_fa_scores": []}
282
+ {"epoch": 281, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.07575053721666336, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 46.03801226615906, "epoch_fa_scores": []}
283
+ {"epoch": 282, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.03816055878996849, "spearman_rho": 1.0, "tau": -0.6740162372589111, "elapsed_sec": 53.012654542922974, "epoch_fa_scores": []}
284
+ {"epoch": 283, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.036531101912260056, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 53.98071479797363, "epoch_fa_scores": []}
285
+ {"epoch": 284, "f_star": -0.09684834629297256, "best_smiles": "Cc1nn(-c2ccc(Br)c(Cl)c2)c(Cc2ccc(F)cc2)c1Br", "n_oracle_calls": 31, "mean_sigma": 0.04262596368789673, "spearman_rho": 0.942857142857143, "tau": -0.6740162372589111, "elapsed_sec": 52.05855202674866, "epoch_fa_scores": []}
beam_cvar/README.md ADDED
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1
+ # beam_cvar
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+
3
+ ## Summary
4
+ - **Best FA**: +0.330
5
+ - **Oracle calls**: 4,358
6
+ - **Wall time**: 4 hours
7
+ - **Epochs**: 191
8
+
9
+ ## Algorithm: Beam Search Active Loop
10
+ 1. Beam search of width=8, guided by ensemble mean μ (deterministic scoring)
11
+ 2. Beam produces K=25 candidates per epoch directly (no separate Thompson selection)
12
+ 3. Evaluate K with FA oracle, CVaR fine-tune DDPP, retrain ensemble
13
+
14
+ Key difference from thompson_cvar: search is directed by μ deterministically.
15
+ No per-candidate exploration — always prunes toward ensemble mean.
16
+
17
+ ## Config
18
+ - selection: beam, K=25, beam_width=8
19
+ - tau_mode=cvar, tau_quantile=0.80, ddpp_steps_per_epoch=50
20
+ - wall_budget_sec=14400 (4hr)
21
+
22
+ ## Files
23
+ - active_loop_log.jsonl, oracle_progress.csv, results.json
beam_cvar/active_loop_log.jsonl ADDED
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beam_fa_logged/oracle_timeline.jsonl ADDED
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beam_search_fa_old/README.md ADDED
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1
+ # beam_search_fa_old
2
+
3
+ ## Summary
4
+ - **Best FA**: -0.619
5
+ - **Oracle calls**: 40,000 (reward_calls from metrics.json)
6
+ - **Method**: Beam search guided by FA oracle directly (old run, pre-surrogate)
7
+
8
+ ## Algorithm
9
+ Beam search where the forward_op is FA oracle. No surrogate, no ensemble.
10
+ Old baseline run — every beam scoring step calls FA.
11
+
12
+ ## Notes
13
+ - oracle_timeline.jsonl only has 100 final entries; true count = 40,000 in metrics.json
14
+ - Source: ml-login6
15
+
16
+ ## Files
17
+ - oracle_timeline.jsonl (100 entries only), metrics.json
beam_search_fa_old/metrics.json ADDED
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1
+ {
2
+ "method": "beam_search_fa",
3
+ "sampler": "beam_search",
4
+ "finetune": "none",
5
+ "guide_reward": "flash_affinity",
6
+ "start_time": "2026-03-24T05:47:51.298109",
7
+ "end_time": "2026-03-24T07:55:18.250041",
8
+ "wall_sec": 7646.95,
9
+ "reward_calls": 40000,
10
+ "forward_passes": 1500000,
11
+ "validity": 1.0,
12
+ "uniqueness": 1.0,
13
+ "qed_mean": 0.6275269443808548,
14
+ "qed_top10": 0.8275323565861321,
15
+ "qed_max": 0.9184199310475777,
16
+ "num_samples": 100,
17
+ "sampler_beam_width": 100,
18
+ "sampler_branching_factor": 100,
19
+ "sampler_elite_buffer_size": 200,
20
+ "sampler_diversity_penalty": 0.1,
21
+ "oracle_mean": -0.7831,
22
+ "oracle_top10": -0.6831,
23
+ "oracle_best": -0.6185,
24
+ "oracle_n_scored": 78
25
+ }
beam_search_fa_old/oracle_timeline.jsonl ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"call": 1, "smiles": "O=C1CCOc2ccc(cc2)N1", "score": null, "best_so_far": null, "top10_mean": null, "wall_sec_before": 7655.063, "wall_sec_after": 7655.938}
2
+ {"call": 2, "smiles": "O=C1NCc2ccc1cc2", "score": null, "best_so_far": null, "top10_mean": null, "wall_sec_before": 7655.938, "wall_sec_after": 7656.373}
3
+ {"call": 3, "smiles": "O=c1[nH]c2ccc1cc2", "score": null, "best_so_far": null, "top10_mean": null, "wall_sec_before": 7656.373, "wall_sec_after": 7656.705}
4
+ {"call": 4, "smiles": "O=C(NC1CC[NH+](C2CCCCC2)CC1)[C@H]1C[C@H]2CC[C@H]1[NH2+]C2", "score": null, "best_so_far": null, "top10_mean": null, "wall_sec_before": 7656.705, "wall_sec_after": 7681.436}
5
+ {"call": 5, "smiles": "Cc1ncsc1CCNC(=O)C12CC3CC(C3)(C1)C2", "score": null, "best_so_far": null, "top10_mean": null, "wall_sec_before": 7681.436, "wall_sec_after": 7683.677}
6
+ {"call": 6, "smiles": "Cc1ccc(C(=O)N2C[C@@H]3CC[C@@H](C2)N3c2ccc(C)cc2)cc1", "score": null, "best_so_far": null, "top10_mean": null, "wall_sec_before": 7683.677, "wall_sec_after": 7699.331}
7
+ {"call": 7, "smiles": "CC(=O)Nc1ccc(C(=O)N2C[C@H]3CC[C@@H](C3)C2)cc1", "score": null, "best_so_far": null, "top10_mean": null, "wall_sec_before": 7699.331, "wall_sec_after": 7707.538}
8
+ {"call": 8, "smiles": "O=C(c1ccc(F)cc1)N1C[C@H]2CCN(c3nc4ccccc4s3)[C@H]1C2", "score": null, "best_so_far": null, "top10_mean": null, "wall_sec_before": 7707.538, "wall_sec_after": 7719.727}
9
+ {"call": 9, "smiles": "Cc1ccc(C(=O)N2CCN(S(=O)(=O)c3cc#ccc3)CC2)c(C)c1", "score": -1.2944809198379517, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7719.727, "wall_sec_after": 7722.534}
10
+ {"call": 10, "smiles": "O=C1c2ccc(c(OCO)c2)CCCC2(c3ccccc3)CCN1C2", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7722.534, "wall_sec_after": 7739.864}
11
+ {"call": 11, "smiles": "CCCc1cc2ccc1CCCCC1CN(CCN1)C2=O", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7739.865, "wall_sec_after": 7754.808}
12
+ {"call": 12, "smiles": "O=C(c1ccc(F)cc1)N1C[C@@H]2CC[C@@H]1CN2c1nc2ccccc2s1", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7754.808, "wall_sec_after": 7762.328}
13
+ {"call": 13, "smiles": "Cc1ccc(C(=O)N2C[C@@H]3C[C@@H]2CCN3c2nc3ccccc3s2)cc1", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7762.328, "wall_sec_after": 7775.604}
14
+ {"call": 14, "smiles": "Cc1ccc(C(=O)N2C[C@@H]3C[C@@H]2CN(c2nc4ccccc4s2)C3)cc1", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7775.604, "wall_sec_after": 7788.097}
15
+ {"call": 15, "smiles": "O=C(c1ccc(F)cc1F)N1C[C@@H]2C[C@@H]1CN2c1nc2ccccc2s1", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7788.097, "wall_sec_after": 7792.709}
16
+ {"call": 16, "smiles": "O=C(c1ccc(F)cc1O)N1C[C@@H]2C[C@@H]1CN2c1nc2ccccc2s1", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7792.709, "wall_sec_after": 7797.44}
17
+ {"call": 17, "smiles": "O=C(c1ccc(F)cc1)N1C[C@H]2C[C@H]1CN(c1nc3ccccc3s1)C2", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7797.44, "wall_sec_after": 7808.622}
18
+ {"call": 18, "smiles": "O=C(c1ccc(Cl)cc1)N1C[C@H]2C[C@H]1CN(c1nc3ccccc3s1)C2", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7808.622, "wall_sec_after": 7819.197}
19
+ {"call": 19, "smiles": "Cc1ccc(C(=O)N2C[C@H]3CCN(c4nc5ccccc5s4)[C@H]2C3)cc1", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7819.197, "wall_sec_after": 7831.76}
20
+ {"call": 20, "smiles": "Cc1cc(F)ccc1C(=O)N1C[C@@H]2C[C@@H]1CN2c1nc2ccccc2s1", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7831.76, "wall_sec_after": 7836.741}
21
+ {"call": 21, "smiles": "Cc1ccc(C(=O)N2C[C@@H]3C[C@@H]2CN3c2nc3ccccc3s2)c(O)c1", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7836.741, "wall_sec_after": 7842.199}
22
+ {"call": 22, "smiles": "O=C(c1ccc(O)cc1)N1C[C@H]2C[C@H]1CN(c1nc3ccccc3s1)C2", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7842.199, "wall_sec_after": 7853.536}
23
+ {"call": 23, "smiles": "O=C(c1ccc(F)cc1)N1C[C@@H]2C[C@@H]1CN(c1nc3ccccc3s1)C2", "score": null, "best_so_far": -1.2944809198379517, "top10_mean": -1.2944809198379517, "wall_sec_before": 7853.536, "wall_sec_after": 7864.865}
24
+ {"call": 24, "smiles": "Cc1cc(C)c2c(c1)-c1cccccsc(n1)N1CCN(CC1)C2=O", "score": -0.6184837222099304, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7864.865, "wall_sec_after": 7864.989}
25
+ {"call": 25, "smiles": "O=C(c1cc2ccccc2s1)N1CCN(c2ncc(Cl)c(Cl)c2Cl)CC1", "score": -0.6588080525398254, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7864.989, "wall_sec_after": 7865.077}
26
+ {"call": 26, "smiles": "Cc1nc(C)c(Br)c(N2CCN(C(=O)c3nc4ccccc4s3)CC2)n1", "score": -0.6571394205093384, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7865.077, "wall_sec_after": 7865.173}
27
+ {"call": 27, "smiles": "O=C(c1nc2ccccc2s1)N1CCN(c2cc(Cl)c(Cl)c(Cl)c2)CC1", "score": -0.7514482736587524, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7865.173, "wall_sec_after": 7865.266}
28
+ {"call": 28, "smiles": "O=C(c1cc(Cl)c(F)cc1Br)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.7577521800994873, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7865.266, "wall_sec_after": 7865.363}
29
+ {"call": 29, "smiles": "O=C(c1ccc(Cl)cc1Cl)N1CCN(c2nc3ccc(Br)cc3s2)CC1", "score": -0.7135841846466064, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7865.363, "wall_sec_after": 7865.454}
30
+ {"call": 30, "smiles": "O=C(c1nc2ccccc2s1)N1CCN(c2cc(Br)cc(I)c2O)CC1", "score": -0.7124983668327332, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7865.454, "wall_sec_after": 7865.554}
31
+ {"call": 31, "smiles": "O=C(c1nc2ccccc2s1)N1CCN(c2cc(I)c(F)cc2F)CC1", "score": -0.7104150056838989, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7865.554, "wall_sec_after": 7865.651}
32
+ {"call": 32, "smiles": "O=C(c1cc(F)c(Br)cc1F)N1CCc2nc(-c3ccccc3)sc2C1", "score": -0.7105491757392883, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7865.651, "wall_sec_after": 7865.745}
33
+ {"call": 33, "smiles": "O=C(c1cc2ccccc2s1)N1CCN(c2ncc(F)c(Cl)c2Cl)CC1", "score": -0.7235311269760132, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7865.745, "wall_sec_after": 7865.836}
34
+ {"call": 34, "smiles": "Cc1nc(C)c(Br)c(N2CCN(C(=O)c3cc4ccccc4s3)CC2)n1", "score": -0.7432257533073425, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7865.836, "wall_sec_after": 7865.936}
35
+ {"call": 35, "smiles": "O=C(c1ccc(Br)cc1Br)N1CCN(c2nc3cc(F)ccc3s2)CC1", "score": -0.7275376319885254, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7865.937, "wall_sec_after": 7866.05}
36
+ {"call": 36, "smiles": "O=C(c1c(F)cc(Cl)cc1Cl)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.7302101850509644, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7866.05, "wall_sec_after": 7866.137}
37
+ {"call": 37, "smiles": "O=C(c1cc(I)cc(Cl)c1O)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.7922638654708862, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7866.138, "wall_sec_after": 7866.235}
38
+ {"call": 38, "smiles": "O=C(c1ccc(Br)cc1Cl)N1CCn2nc(-c3cccc(F)c3)nc2C1", "score": -0.8178266286849976, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7866.235, "wall_sec_after": 7866.322}
39
+ {"call": 39, "smiles": "O=C(c1cc2ccccc2s1)N1CCN(c2c(Cl)cc(Cl)cc2Cl)CC1", "score": -0.7309262752532959, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7866.322, "wall_sec_after": 7866.409}
40
+ {"call": 40, "smiles": "O=C(c1ccc(Cl)cc1Br)N1CCn2nc(-c3cccc(F)c3)nc2C1", "score": -0.8140886425971985, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7866.409, "wall_sec_after": 7866.5}
41
+ {"call": 41, "smiles": "O=C(c1nc2ccccc2s1)N1CCN(c2cc(Br)cc(Cl)c2[O-])CC1", "score": -0.7306528091430664, "best_so_far": -0.6184837222099304, "top10_mean": -0.6184837222099304, "wall_sec_before": 7866.5, "wall_sec_after": 7866.593}
42
+ {"call": 42, "smiles": "Cc1cc(C(=O)N2CCN(c3nc4ccccc4s3)CC2)c(Br)cc1Cl", "score": -0.7409500479698181, "best_so_far": -0.6184837222099304, "top10_mean": -0.6378115713596344, "wall_sec_before": 7866.593, "wall_sec_after": 7866.695}
43
+ {"call": 43, "smiles": "O=C(c1cc(F)c(Br)cc1F)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.7998450994491577, "best_so_far": -0.6184837222099304, "top10_mean": -0.6378115713596344, "wall_sec_before": 7866.695, "wall_sec_after": 7866.792}
44
+ {"call": 44, "smiles": "O=C(c1nc2ccccc2s1)N1CCN(c2c(F)cc(Br)cc2F)CC1", "score": -0.7420051693916321, "best_so_far": -0.6184837222099304, "top10_mean": -0.6378115713596344, "wall_sec_before": 7866.792, "wall_sec_after": 7866.884}
45
+ {"call": 45, "smiles": "O=C(c1nc2ccccc2s1)N1CCN(c2cc(Br)cc(Br)c2O)CC1", "score": -0.7418466806411743, "best_so_far": -0.6184837222099304, "top10_mean": -0.6378115713596344, "wall_sec_before": 7866.884, "wall_sec_after": 7866.976}
46
+ {"call": 46, "smiles": "O=C(c1cc(Br)c(F)cc1F)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.743492841720581, "best_so_far": -0.6184837222099304, "top10_mean": -0.6378115713596344, "wall_sec_before": 7866.977, "wall_sec_after": 7867.084}
47
+ {"call": 47, "smiles": "O=C(c1cc(Br)cc(Cl)c1O)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.8228386044502258, "best_so_far": -0.6184837222099304, "top10_mean": -0.6378115713596344, "wall_sec_before": 7867.084, "wall_sec_after": 7867.191}
48
+ {"call": 48, "smiles": "O=C(c1ccc(Cl)cc1Cl)N1CCN(c2nc3ccc(Cl)cc3s2)CC1", "score": -0.7494316697120667, "best_so_far": -0.6184837222099304, "top10_mean": -0.6378115713596344, "wall_sec_before": 7867.191, "wall_sec_after": 7867.29}
49
+ {"call": 49, "smiles": "Cn1nc(C(=O)N2CCCC2C(O)=Nc2ccc(Cl)c(Cl)c2)c2ccccc21", "score": -0.7810088396072388, "best_so_far": -0.6184837222099304, "top10_mean": -0.6378115713596344, "wall_sec_before": 7867.29, "wall_sec_after": 7867.392}
50
+ {"call": 50, "smiles": "O=C(c1cc(Cl)c(F)cc1F)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.8312762379646301, "best_so_far": -0.6184837222099304, "top10_mean": -0.6378115713596344, "wall_sec_before": 7867.392, "wall_sec_after": 7867.494}
51
+ {"call": 51, "smiles": "Nc1cc(F)c(Br)cc1C(=O)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.7543564438819885, "best_so_far": -0.6184837222099304, "top10_mean": -0.6378115713596344, "wall_sec_before": 7867.495, "wall_sec_after": 7867.597}
52
+ {"call": 52, "smiles": "O=C1c2ccc(Cl)cc2C2=CC=CC=CC(=O)N(CC2)C2CCN1CC2", "score": -0.8043475151062012, "best_so_far": -0.6184837222099304, "top10_mean": -0.6448103984196981, "wall_sec_before": 7867.598, "wall_sec_after": 7867.722}
53
+ {"call": 53, "smiles": "O=C(c1ccc(Cl)cc1Br)N1CCc2nc(-c3cccc(F)c3)nn2C1", "score": -0.7537916898727417, "best_so_far": -0.6184837222099304, "top10_mean": -0.6448103984196981, "wall_sec_before": 7867.722, "wall_sec_after": 7867.814}
54
+ {"call": 54, "smiles": "O=C(c1ccc(F)cc1Br)N1CCN(c2nc3cc(Cl)ccc3s2)CC1", "score": -0.753762423992157, "best_so_far": -0.6184837222099304, "top10_mean": -0.6448103984196981, "wall_sec_before": 7867.814, "wall_sec_after": 7867.904}
55
+ {"call": 55, "smiles": "O=C(c1nc2ccccc2s1)N1CCN(c2cc(Br)cc(Cl)c2O)CC1", "score": -0.7671679854393005, "best_so_far": -0.6184837222099304, "top10_mean": -0.6448103984196981, "wall_sec_before": 7867.904, "wall_sec_after": 7867.997}
56
+ {"call": 56, "smiles": "O=C(c1cc(F)c(F)cc1F)N1CCc2sc(-c3ccccc3)nc2C1", "score": -0.8481904864311218, "best_so_far": -0.6184837222099304, "top10_mean": -0.6448103984196981, "wall_sec_before": 7867.997, "wall_sec_after": 7868.097}
57
+ {"call": 57, "smiles": "O=C(c1ccc(Cl)cc1Br)N1CCN(c2nc3ccc(F)cc3s2)CC1", "score": -0.7519400715827942, "best_so_far": -0.6184837222099304, "top10_mean": -0.6448103984196981, "wall_sec_before": 7868.097, "wall_sec_after": 7868.189}
58
+ {"call": 58, "smiles": "O=C(c1cc(Cl)cc(Br)c1O)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.8233897089958191, "best_so_far": -0.6184837222099304, "top10_mean": -0.6448103984196981, "wall_sec_before": 7868.189, "wall_sec_after": 7868.291}
59
+ {"call": 59, "smiles": "Cc1nc(C)c(C)c(N2CCN(C(=O)c3nc4ccccc4s3)CC2)n1", "score": -0.7613470554351807, "best_so_far": -0.6184837222099304, "top10_mean": -0.6448103984196981, "wall_sec_before": 7868.291, "wall_sec_after": 7868.392}
60
+ {"call": 60, "smiles": "O=C(c1ccc(Br)cc1Cl)N1CCC(n2nnc3ccccc3c2=O)CC1", "score": -0.7705968618392944, "best_so_far": -0.6184837222099304, "top10_mean": -0.6448103984196981, "wall_sec_before": 7868.392, "wall_sec_after": 7868.488}
61
+ {"call": 61, "smiles": "O=C(c1nc2ccccc2s1)N1CCN(c2cc(F)c(Cl)cc2F)CC1", "score": -0.8176009654998779, "best_so_far": -0.6184837222099304, "top10_mean": -0.6448103984196981, "wall_sec_before": 7868.488, "wall_sec_after": 7868.578}
62
+ {"call": 62, "smiles": "O=C(c1nc2ccccc2s1)N1CCN(c2cc(Cl)c(F)cc2F)CC1", "score": -0.7718008160591125, "best_so_far": -0.6184837222099304, "top10_mean": -0.6612115502357483, "wall_sec_before": 7868.579, "wall_sec_after": 7868.67}
63
+ {"call": 63, "smiles": "Cc1ccc2sc(N3CCN(C(=O)c4ccc(Cl)cc4Br)CC3)nc2c1", "score": -0.8478400707244873, "best_so_far": -0.6184837222099304, "top10_mean": -0.6612115502357483, "wall_sec_before": 7868.67, "wall_sec_after": 7868.768}
64
+ {"call": 64, "smiles": "O=C(c1ccc(Cl)c(Cl)c1F)N1CCC(c2nc3ccccc3[nH]2)CC1", "score": -0.8291198015213013, "best_so_far": -0.6184837222099304, "top10_mean": -0.6612115502357483, "wall_sec_before": 7868.769, "wall_sec_after": 7868.87}
65
+ {"call": 65, "smiles": "O=C(c1nc2ccccc2s1)N1CCN(c2c(F)cc(Cl)cc2F)CC1", "score": -0.7698757648468018, "best_so_far": -0.6184837222099304, "top10_mean": -0.6612115502357483, "wall_sec_before": 7868.87, "wall_sec_after": 7868.966}
66
+ {"call": 66, "smiles": "O=C(c1cc(F)c(Cl)cc1F)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.8347283601760864, "best_so_far": -0.6184837222099304, "top10_mean": -0.6612115502357483, "wall_sec_before": 7868.966, "wall_sec_after": 7869.067}
67
+ {"call": 67, "smiles": "Cc1cc(C(=O)N2CCN(c3nc4ccccc4s3)CC2)c(Cl)cc1Cl", "score": -0.7663841843605042, "best_so_far": -0.6184837222099304, "top10_mean": -0.6612115502357483, "wall_sec_before": 7869.067, "wall_sec_after": 7869.167}
68
+ {"call": 68, "smiles": "O=C(c1ccc(Cl)cc1Br)N1CCC(n2nnc3ccccc3c2=O)CC1", "score": -0.7718650102615356, "best_so_far": -0.6184837222099304, "top10_mean": -0.6612115502357483, "wall_sec_before": 7869.167, "wall_sec_after": 7869.261}
69
+ {"call": 69, "smiles": "O=C(c1c(F)cc(Cl)cc1F)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.8336402177810669, "best_so_far": -0.6184837222099304, "top10_mean": -0.6612115502357483, "wall_sec_before": 7869.261, "wall_sec_after": 7869.353}
70
+ {"call": 70, "smiles": "Nc1cc(F)c(F)cc1C(=O)N1CCc2nc(-c3ccccc3)sc2C1", "score": -0.7921300530433655, "best_so_far": -0.6184837222099304, "top10_mean": -0.6612115502357483, "wall_sec_before": 7869.353, "wall_sec_after": 7869.455}
71
+ {"call": 71, "smiles": "O=C(c1cc(F)c(F)cc1Cl)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.8322328925132751, "best_so_far": -0.6184837222099304, "top10_mean": -0.6612115502357483, "wall_sec_before": 7869.455, "wall_sec_after": 7869.546}
72
+ {"call": 72, "smiles": "O=C(c1cc(F)cc(F)c1Cl)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.8392506837844849, "best_so_far": -0.6184837222099304, "top10_mean": -0.6710790753364563, "wall_sec_before": 7869.546, "wall_sec_after": 7869.64}
73
+ {"call": 73, "smiles": "O=C(c1ccc(F)cc1Br)N1CCn2nc(-c3cccc(F)c3)nc2C1", "score": -0.7974481582641602, "best_so_far": -0.6184837222099304, "top10_mean": -0.6710790753364563, "wall_sec_before": 7869.64, "wall_sec_after": 7869.73}
74
+ {"call": 74, "smiles": "O=C(c1cc(Cl)c(F)cc1F)N1CCc2nc(-c3ccccc3)sc2C1", "score": -0.7386200428009033, "best_so_far": -0.6184837222099304, "top10_mean": -0.6710790753364563, "wall_sec_before": 7869.73, "wall_sec_after": 7869.829}
75
+ {"call": 75, "smiles": "Cc1nc2ccc(N3CCN(C(=O)c4ccc(Cl)cc4F)CC3)nc2s1", "score": -0.7757661938667297, "best_so_far": -0.6184837222099304, "top10_mean": -0.6710790753364563, "wall_sec_before": 7869.829, "wall_sec_after": 7869.931}
76
+ {"call": 76, "smiles": "O=C(c1cc(F)c(F)cc1Cl)N1CCn2nc(-c3ccccc3)nc2C1", "score": -0.7782864570617676, "best_so_far": -0.6184837222099304, "top10_mean": -0.6710790753364563, "wall_sec_before": 7869.931, "wall_sec_after": 7870.033}
77
+ {"call": 77, "smiles": "O=C(c1ccc(Cl)cc1I)N1CCC(n2cnc3ccccc3c2=O)CC1", "score": -0.7751569151878357, "best_so_far": -0.6184837222099304, "top10_mean": -0.6710790753364563, "wall_sec_before": 7870.033, "wall_sec_after": 7870.13}
78
+ {"call": 78, "smiles": "O=C(c1cc(F)c(F)cc1F)N1CCc2nc(-c3ccccc3)sc2C1", "score": -0.8283928036689758, "best_so_far": -0.6184837222099304, "top10_mean": -0.6710790753364563, "wall_sec_before": 7870.13, "wall_sec_after": 7870.228}
79
+ {"call": 79, "smiles": "O=C(c1ccc(Cl)cc1Cl)N1CCN(c2nc3cc(F)ccc3s2)CC1", "score": -0.8479235768318176, "best_so_far": -0.6184837222099304, "top10_mean": -0.6710790753364563, "wall_sec_before": 7870.228, "wall_sec_after": 7870.321}
80
+ {"call": 80, "smiles": "O=C(c1ccc(Br)cc1F)N1CCc2nc(-c3cccc(F)c3)nn2C1", "score": -0.7974727749824524, "best_so_far": -0.6184837222099304, "top10_mean": -0.6710790753364563, "wall_sec_before": 7870.321, "wall_sec_after": 7870.419}
81
+ {"call": 81, "smiles": "O=C(c1cc(Cl)c(F)cc1F)N1CCn2nc(-c3ccccc3)nc2C1", "score": -0.8369849324226379, "best_so_far": -0.6184837222099304, "top10_mean": -0.6710790753364563, "wall_sec_before": 7870.42, "wall_sec_after": 7870.512}
82
+ {"call": 82, "smiles": "O=C(c1ccc(Cl)cc1Cl)N1CCn2nc(-c3cccc(F)c3)nc2C1", "score": -0.8446621894836426, "best_so_far": -0.6184837222099304, "top10_mean": -0.6779822905858358, "wall_sec_before": 7870.512, "wall_sec_after": 7870.607}
83
+ {"call": 83, "smiles": "O=C(c1cc2ccccc2s1)N1CCN(c2ccc(Cl)c(Cl)c2F)CC1", "score": -0.7899336218833923, "best_so_far": -0.6184837222099304, "top10_mean": -0.6779822905858358, "wall_sec_before": 7870.607, "wall_sec_after": 7870.7}
84
+ {"call": 84, "smiles": "O=C(c1cc(F)c(Cl)cc1F)N1CCn2nc(-c3ccccc3)nc2C1", "score": -0.8368048071861267, "best_so_far": -0.6184837222099304, "top10_mean": -0.6779822905858358, "wall_sec_before": 7870.7, "wall_sec_after": 7870.793}
85
+ {"call": 85, "smiles": "O=C(c1ccc(F)cc1F)N1CCN(c2nc3ccc(Br)cc3s2)CC1", "score": -0.7946189641952515, "best_so_far": -0.6184837222099304, "top10_mean": -0.6779822905858358, "wall_sec_before": 7870.793, "wall_sec_after": 7870.886}
86
+ {"call": 86, "smiles": "O=C(c1cc(Br)c(Cl)cc1O)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.7781245112419128, "best_so_far": -0.6184837222099304, "top10_mean": -0.6779822905858358, "wall_sec_before": 7870.886, "wall_sec_after": 7870.985}
87
+ {"call": 87, "smiles": "O=C(c1nc2ccccc2s1)N1CCN(c2ccc(Cl)c(F)c2F)CC1", "score": -0.7783802151679993, "best_so_far": -0.6184837222099304, "top10_mean": -0.6779822905858358, "wall_sec_before": 7870.985, "wall_sec_after": 7871.08}
88
+ {"call": 88, "smiles": "O=C(c1ccc(Cl)cc1Cl)N1CCN(c2nc3ccc(F)cc3s2)CC1", "score": -0.7866368293762207, "best_so_far": -0.6184837222099304, "top10_mean": -0.6779822905858358, "wall_sec_before": 7871.08, "wall_sec_after": 7871.175}
89
+ {"call": 89, "smiles": "O=C(c1cc(Cl)ccc1Cl)N1CCN(c2nc3ccc(F)cc3s2)CC1", "score": -0.7818899154663086, "best_so_far": -0.6184837222099304, "top10_mean": -0.6779822905858358, "wall_sec_before": 7871.175, "wall_sec_after": 7871.27}
90
+ {"call": 90, "smiles": "O=C(c1ccc(F)cc1Cl)N1CCN(c2nc3ccc(Cl)cc3s2)CC1", "score": -0.7820536494255066, "best_so_far": -0.6184837222099304, "top10_mean": -0.6779822905858358, "wall_sec_before": 7871.27, "wall_sec_after": 7871.414}
91
+ {"call": 91, "smiles": "Cn1nc(C(=O)N2CCC[C@@H]2C(O)=Nc2ccc(Cl)c(Cl)c2)c2ccccc21", "score": -0.7556171417236328, "best_so_far": -0.6184837222099304, "top10_mean": -0.6779822905858358, "wall_sec_before": 7871.414, "wall_sec_after": 7871.526}
92
+ {"call": 92, "smiles": "Cc1nc2cccc(C(=O)N3CCN(c4ccc(Cl)cc4Br)CC3)c2[nH]1", "score": -0.7830449342727661, "best_so_far": -0.6184837222099304, "top10_mean": -0.6830682754516602, "wall_sec_before": 7871.526, "wall_sec_after": 7871.634}
93
+ {"call": 93, "smiles": "O=C(c1ccc(Cl)cc1F)N1CCN(c2nc3cc(Cl)ccc3s2)CC1", "score": -0.841386616230011, "best_so_far": -0.6184837222099304, "top10_mean": -0.6830682754516602, "wall_sec_before": 7871.634, "wall_sec_after": 7871.73}
94
+ {"call": 94, "smiles": "O=C(c1cc(I)c(Br)cc1O)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.7223736643791199, "best_so_far": -0.6184837222099304, "top10_mean": -0.6830682754516602, "wall_sec_before": 7871.73, "wall_sec_after": 7871.832}
95
+ {"call": 95, "smiles": "O=C(c1nc2ccccc2[nH]1)N1CCN(c2c(F)cc(Br)cc2F)CC1", "score": -0.7867244482040405, "best_so_far": -0.6184837222099304, "top10_mean": -0.6830682754516602, "wall_sec_before": 7871.832, "wall_sec_after": 7871.931}
96
+ {"call": 96, "smiles": "Cc1ccc(N=C(O)C2CCCN2C(=O)c2nn(C)c3ccccc23)cc1I", "score": -0.7955716252326965, "best_so_far": -0.6184837222099304, "top10_mean": -0.6830682754516602, "wall_sec_before": 7871.931, "wall_sec_after": 7872.047}
97
+ {"call": 97, "smiles": "O=C(c1nc2ccccc2s1)N1CCN(c2cc(Cl)cc(Cl)c2O)CC1", "score": -0.7921893000602722, "best_so_far": -0.6184837222099304, "top10_mean": -0.6830682754516602, "wall_sec_before": 7872.047, "wall_sec_after": 7872.146}
98
+ {"call": 98, "smiles": "O=C(c1cc(Cl)cc(Cl)c1O)N1CCN(c2nc3ccccc3s2)CC1", "score": -0.8527101874351501, "best_so_far": -0.6184837222099304, "top10_mean": -0.6830682754516602, "wall_sec_before": 7872.146, "wall_sec_after": 7872.27}
99
+ {"call": 99, "smiles": "O=C(c1ccc(F)cc1Br)N1CCc2nn(-c3cccc(F)c3)nc2C1", "score": -0.77105712890625, "best_so_far": -0.6184837222099304, "top10_mean": -0.6830682754516602, "wall_sec_before": 7872.27, "wall_sec_after": 7872.371}
100
+ {"call": 100, "smiles": "O=C(c1c(F)cc(F)cc1F)N1CCc2nc(-c3ccccc3)sc2C1", "score": -0.7879973649978638, "best_so_far": -0.6184837222099304, "top10_mean": -0.6830682754516602, "wall_sec_before": 7872.371, "wall_sec_after": 7872.466}
beam_search_fa_old/samples.csv ADDED
@@ -0,0 +1,101 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ smiles
2
+ O=C1CCOc2ccc(cc2)N1
3
+ O=C1NCc2ccc1cc2
4
+ O=c1[nH]c2ccc1cc2
5
+ O=C(NC1CC[NH+](C2CCCCC2)CC1)[C@H]1C[C@H]2CC[C@H]1[NH2+]C2
6
+ Cc1ncsc1CCNC(=O)C12CC3CC(C3)(C1)C2
7
+ Cc1ccc(C(=O)N2C[C@@H]3CC[C@@H](C2)N3c2ccc(C)cc2)cc1
8
+ CC(=O)Nc1ccc(C(=O)N2C[C@H]3CC[C@@H](C3)C2)cc1
9
+ O=C(c1ccc(F)cc1)N1C[C@H]2CCN(c3nc4ccccc4s3)[C@H]1C2
10
+ Cc1ccc(C(=O)N2CCN(S(=O)(=O)c3cc#ccc3)CC2)c(C)c1
11
+ O=C1c2ccc(c(OCO)c2)CCCC2(c3ccccc3)CCN1C2
12
+ CCCc1cc2ccc1CCCCC1CN(CCN1)C2=O
13
+ O=C(c1ccc(F)cc1)N1C[C@@H]2CC[C@@H]1CN2c1nc2ccccc2s1
14
+ Cc1ccc(C(=O)N2C[C@@H]3C[C@@H]2CCN3c2nc3ccccc3s2)cc1
15
+ Cc1ccc(C(=O)N2C[C@@H]3C[C@@H]2CN(c2nc4ccccc4s2)C3)cc1
16
+ O=C(c1ccc(F)cc1F)N1C[C@@H]2C[C@@H]1CN2c1nc2ccccc2s1
17
+ O=C(c1ccc(F)cc1O)N1C[C@@H]2C[C@@H]1CN2c1nc2ccccc2s1
18
+ O=C(c1ccc(F)cc1)N1C[C@H]2C[C@H]1CN(c1nc3ccccc3s1)C2
19
+ O=C(c1ccc(Cl)cc1)N1C[C@H]2C[C@H]1CN(c1nc3ccccc3s1)C2
20
+ Cc1ccc(C(=O)N2C[C@H]3CCN(c4nc5ccccc5s4)[C@H]2C3)cc1
21
+ Cc1cc(F)ccc1C(=O)N1C[C@@H]2C[C@@H]1CN2c1nc2ccccc2s1
22
+ Cc1ccc(C(=O)N2C[C@@H]3C[C@@H]2CN3c2nc3ccccc3s2)c(O)c1
23
+ O=C(c1ccc(O)cc1)N1C[C@H]2C[C@H]1CN(c1nc3ccccc3s1)C2
24
+ O=C(c1ccc(F)cc1)N1C[C@@H]2C[C@@H]1CN(c1nc3ccccc3s1)C2
25
+ Cc1cc(C)c2c(c1)-c1cccccsc(n1)N1CCN(CC1)C2=O
26
+ O=C(c1cc2ccccc2s1)N1CCN(c2ncc(Cl)c(Cl)c2Cl)CC1
27
+ Cc1nc(C)c(Br)c(N2CCN(C(=O)c3nc4ccccc4s3)CC2)n1
28
+ O=C(c1nc2ccccc2s1)N1CCN(c2cc(Cl)c(Cl)c(Cl)c2)CC1
29
+ O=C(c1cc(Cl)c(F)cc1Br)N1CCN(c2nc3ccccc3s2)CC1
30
+ O=C(c1ccc(Cl)cc1Cl)N1CCN(c2nc3ccc(Br)cc3s2)CC1
31
+ O=C(c1nc2ccccc2s1)N1CCN(c2cc(Br)cc(I)c2O)CC1
32
+ O=C(c1nc2ccccc2s1)N1CCN(c2cc(I)c(F)cc2F)CC1
33
+ O=C(c1cc(F)c(Br)cc1F)N1CCc2nc(-c3ccccc3)sc2C1
34
+ O=C(c1cc2ccccc2s1)N1CCN(c2ncc(F)c(Cl)c2Cl)CC1
35
+ Cc1nc(C)c(Br)c(N2CCN(C(=O)c3cc4ccccc4s3)CC2)n1
36
+ O=C(c1ccc(Br)cc1Br)N1CCN(c2nc3cc(F)ccc3s2)CC1
37
+ O=C(c1c(F)cc(Cl)cc1Cl)N1CCN(c2nc3ccccc3s2)CC1
38
+ O=C(c1cc(I)cc(Cl)c1O)N1CCN(c2nc3ccccc3s2)CC1
39
+ O=C(c1ccc(Br)cc1Cl)N1CCn2nc(-c3cccc(F)c3)nc2C1
40
+ O=C(c1cc2ccccc2s1)N1CCN(c2c(Cl)cc(Cl)cc2Cl)CC1
41
+ O=C(c1ccc(Cl)cc1Br)N1CCn2nc(-c3cccc(F)c3)nc2C1
42
+ O=C(c1nc2ccccc2s1)N1CCN(c2cc(Br)cc(Cl)c2[O-])CC1
43
+ Cc1cc(C(=O)N2CCN(c3nc4ccccc4s3)CC2)c(Br)cc1Cl
44
+ O=C(c1cc(F)c(Br)cc1F)N1CCN(c2nc3ccccc3s2)CC1
45
+ O=C(c1nc2ccccc2s1)N1CCN(c2c(F)cc(Br)cc2F)CC1
46
+ O=C(c1nc2ccccc2s1)N1CCN(c2cc(Br)cc(Br)c2O)CC1
47
+ O=C(c1cc(Br)c(F)cc1F)N1CCN(c2nc3ccccc3s2)CC1
48
+ O=C(c1cc(Br)cc(Cl)c1O)N1CCN(c2nc3ccccc3s2)CC1
49
+ O=C(c1ccc(Cl)cc1Cl)N1CCN(c2nc3ccc(Cl)cc3s2)CC1
50
+ Cn1nc(C(=O)N2CCCC2C(O)=Nc2ccc(Cl)c(Cl)c2)c2ccccc21
51
+ O=C(c1cc(Cl)c(F)cc1F)N1CCN(c2nc3ccccc3s2)CC1
52
+ Nc1cc(F)c(Br)cc1C(=O)N1CCN(c2nc3ccccc3s2)CC1
53
+ O=C1c2ccc(Cl)cc2C2=CC=CC=CC(=O)N(CC2)C2CCN1CC2
54
+ O=C(c1ccc(Cl)cc1Br)N1CCc2nc(-c3cccc(F)c3)nn2C1
55
+ O=C(c1ccc(F)cc1Br)N1CCN(c2nc3cc(Cl)ccc3s2)CC1
56
+ O=C(c1nc2ccccc2s1)N1CCN(c2cc(Br)cc(Cl)c2O)CC1
57
+ O=C(c1cc(F)c(F)cc1F)N1CCc2sc(-c3ccccc3)nc2C1
58
+ O=C(c1ccc(Cl)cc1Br)N1CCN(c2nc3ccc(F)cc3s2)CC1
59
+ O=C(c1cc(Cl)cc(Br)c1O)N1CCN(c2nc3ccccc3s2)CC1
60
+ Cc1nc(C)c(C)c(N2CCN(C(=O)c3nc4ccccc4s3)CC2)n1
61
+ O=C(c1ccc(Br)cc1Cl)N1CCC(n2nnc3ccccc3c2=O)CC1
62
+ O=C(c1nc2ccccc2s1)N1CCN(c2cc(F)c(Cl)cc2F)CC1
63
+ O=C(c1nc2ccccc2s1)N1CCN(c2cc(Cl)c(F)cc2F)CC1
64
+ Cc1ccc2sc(N3CCN(C(=O)c4ccc(Cl)cc4Br)CC3)nc2c1
65
+ O=C(c1ccc(Cl)c(Cl)c1F)N1CCC(c2nc3ccccc3[nH]2)CC1
66
+ O=C(c1nc2ccccc2s1)N1CCN(c2c(F)cc(Cl)cc2F)CC1
67
+ O=C(c1cc(F)c(Cl)cc1F)N1CCN(c2nc3ccccc3s2)CC1
68
+ Cc1cc(C(=O)N2CCN(c3nc4ccccc4s3)CC2)c(Cl)cc1Cl
69
+ O=C(c1ccc(Cl)cc1Br)N1CCC(n2nnc3ccccc3c2=O)CC1
70
+ O=C(c1c(F)cc(Cl)cc1F)N1CCN(c2nc3ccccc3s2)CC1
71
+ Nc1cc(F)c(F)cc1C(=O)N1CCc2nc(-c3ccccc3)sc2C1
72
+ O=C(c1cc(F)c(F)cc1Cl)N1CCN(c2nc3ccccc3s2)CC1
73
+ O=C(c1cc(F)cc(F)c1Cl)N1CCN(c2nc3ccccc3s2)CC1
74
+ O=C(c1ccc(F)cc1Br)N1CCn2nc(-c3cccc(F)c3)nc2C1
75
+ O=C(c1cc(Cl)c(F)cc1F)N1CCc2nc(-c3ccccc3)sc2C1
76
+ Cc1nc2ccc(N3CCN(C(=O)c4ccc(Cl)cc4F)CC3)nc2s1
77
+ O=C(c1cc(F)c(F)cc1Cl)N1CCn2nc(-c3ccccc3)nc2C1
78
+ O=C(c1ccc(Cl)cc1I)N1CCC(n2cnc3ccccc3c2=O)CC1
79
+ O=C(c1cc(F)c(F)cc1F)N1CCc2nc(-c3ccccc3)sc2C1
80
+ O=C(c1ccc(Cl)cc1Cl)N1CCN(c2nc3cc(F)ccc3s2)CC1
81
+ O=C(c1ccc(Br)cc1F)N1CCc2nc(-c3cccc(F)c3)nn2C1
82
+ O=C(c1cc(Cl)c(F)cc1F)N1CCn2nc(-c3ccccc3)nc2C1
83
+ O=C(c1ccc(Cl)cc1Cl)N1CCn2nc(-c3cccc(F)c3)nc2C1
84
+ O=C(c1cc2ccccc2s1)N1CCN(c2ccc(Cl)c(Cl)c2F)CC1
85
+ O=C(c1cc(F)c(Cl)cc1F)N1CCn2nc(-c3ccccc3)nc2C1
86
+ O=C(c1ccc(F)cc1F)N1CCN(c2nc3ccc(Br)cc3s2)CC1
87
+ O=C(c1cc(Br)c(Cl)cc1O)N1CCN(c2nc3ccccc3s2)CC1
88
+ O=C(c1nc2ccccc2s1)N1CCN(c2ccc(Cl)c(F)c2F)CC1
89
+ O=C(c1ccc(Cl)cc1Cl)N1CCN(c2nc3ccc(F)cc3s2)CC1
90
+ O=C(c1cc(Cl)ccc1Cl)N1CCN(c2nc3ccc(F)cc3s2)CC1
91
+ O=C(c1ccc(F)cc1Cl)N1CCN(c2nc3ccc(Cl)cc3s2)CC1
92
+ Cn1nc(C(=O)N2CCC[C@@H]2C(O)=Nc2ccc(Cl)c(Cl)c2)c2ccccc21
93
+ Cc1nc2cccc(C(=O)N3CCN(c4ccc(Cl)cc4Br)CC3)c2[nH]1
94
+ O=C(c1ccc(Cl)cc1F)N1CCN(c2nc3cc(Cl)ccc3s2)CC1
95
+ O=C(c1cc(I)c(Br)cc1O)N1CCN(c2nc3ccccc3s2)CC1
96
+ O=C(c1nc2ccccc2[nH]1)N1CCN(c2c(F)cc(Br)cc2F)CC1
97
+ Cc1ccc(N=C(O)C2CCCN2C(=O)c2nn(C)c3ccccc23)cc1I
98
+ O=C(c1nc2ccccc2s1)N1CCN(c2cc(Cl)cc(Cl)c2O)CC1
99
+ O=C(c1cc(Cl)cc(Cl)c1O)N1CCN(c2nc3ccccc3s2)CC1
100
+ O=C(c1ccc(F)cc1Br)N1CCc2nn(-c3cccc(F)c3)nc2C1
101
+ O=C(c1c(F)cc(F)cc1F)N1CCc2nc(-c3ccccc3)sc2C1
beam_surrogate/README.md ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # beam_surrogate
2
+
3
+ ## Summary
4
+ - **Best FA**: -0.234
5
+ - **Oracle calls**: 2,611
6
+ - **Method**: Beam search with frozen surrogate, no DDPP fine-tuning
7
+
8
+ ## Algorithm
9
+ Beam search guided by a surrogate model (not FA oracle directly).
10
+ Surrogate is frozen — no online learning/fine-tuning.
11
+ Ablation showing that fine-tuning the model is necessary.
12
+
13
+ ## Files
14
+ - results.json or metrics.json
beam_surrogate/results.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "method": "beam_surrogate_no_finetune",
3
+ "best_fa": -0.23351100087165833,
4
+ "top10_mean": -0.2980932712554932,
5
+ "oracle_calls": 2611,
6
+ "epochs": 213,
7
+ "top_smiles": [
8
+ "O=C(c1cccc(F)c1F)N1C[C@@H]2C3CCCC[NH+](CC3)[C@@H]2C1",
9
+ "C[C@H]1CCCC[C@@H]1C(=O)N1CCN(c2c(F)cc(F)cc2F)CC1",
10
+ "Cc1nc(Cl)c(N2CCN(c3cccc(F)c3)CC2)nc1C",
11
+ "O=C(c1cc(Cl)c(F)cc1F)N1CC[C@@H]2CCCC[C@H]2C1",
12
+ "CC1CN(C)CCC1N=C(O)Cc1cc(Cl)c(Cl)cc1Cl",
13
+ "Cc1nc2c(s1)CCN(C(=O)c1cc(I)ccc1F)C2",
14
+ "CCC1c2ccccc2C(=O)N2CCc3ncn1c3C2",
15
+ "Cc1nc2c(s1)CCN(C(=O)c1ccc(F)cc1Br)C2",
16
+ "Clc1ccc2c(c1)[C@H](Nc1nc3ccc(Br)cc3s1)CC2",
17
+ "O=C(c1cc(F)c(F)cc1Cl)N1CC[NH+]2CCCC[C@H]2C1",
18
+ "O=C(c1ccccc1Cl)N1CCN(c2c(F)cc(F)cc2F)CC1",
19
+ "Cc1nc2c(s1)CCN(C(=O)c1ccc(F)cc1Cl)C2",
20
+ "Cc1cc2c(N3CCN(c4ccc(Cl)cc4)CC3)ncnc2s1",
21
+ "O=C(c1c(F)cc(Br)cc1F)N1CCC[C@@H]2CCC[C@H]21",
22
+ "Cc1cc(I)cc(C(=O)N2CCc3nc(C)sc3C2)c1",
23
+ "Fc1ccc2nc(N[C@H]3CCc4ccc(Cl)cc43)sc2c1",
24
+ "C[C@@H]1[C@@H](C)CCN1C(=O)c1cc(Br)c(Cl)cc1F",
25
+ "CCC1CCN(C(O)=Nc2cc(Cl)c(Cl)cc2Cl)CC1",
26
+ "Cc1nc2c(s1)CCN(C(=O)c1ccc(F)cc1F)C2",
27
+ "O=C(c1ccc(F)cc1Cl)N1CCCc2ccc(Cl)cc21"
28
+ ],
29
+ "top_scores": [
30
+ -0.23351100087165833,
31
+ -0.2622143030166626,
32
+ -0.2775181531906128,
33
+ -0.2893832325935364,
34
+ -0.2958328425884247,
35
+ -0.3069053590297699,
36
+ -0.31159186363220215,
37
+ -0.32745620608329773,
38
+ -0.3291310966014862,
39
+ -0.3473886549472809,
40
+ -0.35761886835098267,
41
+ -0.362494558095932,
42
+ -0.3664220869541168,
43
+ -0.3923407793045044,
44
+ -0.39503803849220276,
45
+ -0.41943246126174927,
46
+ -0.4202806055545807,
47
+ -0.42619019746780396,
48
+ -0.42669016122817993,
49
+ -0.42912307381629944
50
+ ]
51
+ }
ddpp_cvar_batch/README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # ddpp_cvar_batch
2
+
3
+ ## Summary
4
+ - **Best FA**: +0.075
5
+ - **Oracle calls**: 35,779
6
+ - **Method**: Offline DDPP with CVaR batch training
7
+
8
+ ## Algorithm
9
+ Offline fine-tuning of DDPP on a pre-collected dataset of (SMILES, FA_score) pairs.
10
+ CVaR reward transformation applied: τ=80th pct, r*(x)=max(R(x)-τ,0)/0.20
11
+ All molecules kept in replay buffer; bottom 80% get r*=0.
12
+ Model trained for ~60k steps, best checkpoint selected.
13
+
14
+ ## Files
15
+ - collected_molecules.csv: the offline dataset (FA-scored molecules)
16
+ - results.json: training metrics
17
+
18
+ ## Notes
19
+ - The collected_molecules.csv from this run is used as input to oracle_budget_sweep experiments
20
+ - Peak at step ~60k (+0.988) then collapsed (mode collapse) — final checkpoint is worse
ddpp_cvar_batch/ckpt_sweep.log ADDED
@@ -0,0 +1 @@
 
 
1
+ 2026-03-25 19:26:03,397 ERROR No checkpoints found in outputs/ddpp_cvar_batch_4hr/checkpoints
ddpp_cvar_batch/collected_molecules.csv ADDED
The diff for this file is too large to render. See raw diff
 
ddpp_cvar_batch/results.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "method": "ddpp_cvar_batch",
3
+ "best_fa": 0.07514598965644836,
4
+ "top10_mean": -0.16829834878444672,
5
+ "collection_best_fa": -0.21330715715885162,
6
+ "n_collected": 34779,
7
+ "n_final": 1000,
8
+ "total_oracle_calls": 35779,
9
+ "top_smiles": [
10
+ "O=S(=O)(c1ccc(F)c(Cl)c1F)N1CCCC(N=C(O)c2cccc3[nH]ccc23)C1",
11
+ "CC1=NC(C2CCN(c3c(F)cccc3Cl)CC2)=CC=CC=CC(N=C(O)C(C)C)CCC1",
12
+ "OC(=Nc1ccc(Cl)cc1Cl)C1CCC(c2ccc(Cl)c(Cl)c2)CC1",
13
+ "CC(C)(C)C(=O)NCC(N=C(O)N1CCCC(c2ccccc2)C1)c1ccc(Cl)cc1Cl",
14
+ "Cc1cn2c(n1)CN(C(=O)c1ccccc1-c1cc(F)ccc1Cl)CC2",
15
+ "Cc1cccc(C(C)(C)N=C(O)N2CCC(C)CC2N=C(O)c2cccc3cccnc23)c1",
16
+ "Clc1ccc(-c2ccc(-c3ccccc3)cc2-c2ccccc2)c(Cl)c1Cl",
17
+ "Cc1cc(C2CCN(C(=O)c3ccc4ccccc4n3)CC2)nc(C)n1",
18
+ "CC1CCN(C(=O)c2cc(-c3ccc(Cl)cc3)nc3ccccc23)CC1",
19
+ "CC(C)(C)C1CCN(C(=O)N2CCCCC2C(O)=NC(c2ccccc2)C(C)(C)C)CC1",
20
+ "CC1CCC2(N3CCOCC3)CCCN(C(=O)C(c3ccccc3)C(C)(C)C(C)C)CCN2C1",
21
+ "CC(C)(C)CC(CO)N=C(O)N1CCCC(C(O)=NC2CCCSC2)CC1C(C)(C)C",
22
+ "Cc1nnc(C2CCN(C(=O)C(C)(C)c3ccc(Cl)cc3)CC2)s1",
23
+ "O=C(c1ccc2c(c1)CCCC2)N1CCN(c2nccc3ccccc23)CC1",
24
+ "Cc1cc(N2CCN(C(=O)c3ccc(C)c(F)c3)CC2)nc(C)n1",
25
+ "CCc1nc(C)c(CN=C(O)c2ccccc2)cc1-c1cccc(Br)c1",
26
+ "CCN=C(O)C1CCCC(C(=O)N2CCN(c3nnc(C)s3)CC2)C1",
27
+ "CC1(N2CCC(c3nc4ccccc4s3)C2)CCCC(=O)N1C(=O)[O-]",
28
+ "Cc1ccc2c(c1)C(O)=NC(c1ccc(C(F)(F)F)cc1)CC2",
29
+ "Cc1ccc2c(c1)C(=O)N(c1ccccc1)C(=O)C(c1ccccc1)C2=O"
30
+ ],
31
+ "top_scores": [
32
+ 0.07514598965644836,
33
+ 0.033022478222846985,
34
+ -0.07139205187559128,
35
+ -0.11836978048086166,
36
+ -0.16124653816223145,
37
+ -0.2259376049041748,
38
+ -0.22697466611862183,
39
+ -0.27220743894577026,
40
+ -0.3484508693218231,
41
+ -0.3665730059146881,
42
+ -0.3698956072330475,
43
+ -0.38100653886795044,
44
+ -0.3910793662071228,
45
+ -0.4287450611591339,
46
+ -0.4435980021953583,
47
+ -0.4600037634372711,
48
+ -0.4664385914802551,
49
+ -0.47975143790245056,
50
+ -0.5040283799171448,
51
+ -0.5077934861183167
52
+ ]
53
+ }
ddpp_lb_nocvar/README.md ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # ddpp_lb_nocvar
2
+
3
+ ## Summary
4
+ - **Best FA**: -0.082
5
+ - **Oracle calls**: 25,421
6
+ - **Method**: Offline DDPP-LB without CVaR reward shaping
7
+
8
+ ## Algorithm
9
+ Same as ddpp_lb but raw FA rewards used (no CVaR transformation).
10
+ Ablation showing CVaR reward shaping is critical for DDPP performance.
11
+
12
+ ## Files
13
+ - results.json
ddpp_lb_nocvar/ckpt_sweep/sweep_results.json ADDED
@@ -0,0 +1,418 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "ckpt": "step_005000.pt",
4
+ "train_step": 5000,
5
+ "best_fa": -0.1126355230808258,
6
+ "top10_mean": -0.25743933618068693,
7
+ "n_valid": 5000,
8
+ "infer_sec": 1590.6889214515686,
9
+ "top_smiles": [
10
+ "Cc1nc2ccc(C(=O)N3CCN(c4ccc(F)cc4F)CC3)cc2s1",
11
+ "C[C@@H]1C[C@@H](c2ccc(F)cc2)N(C(=O)c2cc(F)c(F)cc2F)C1",
12
+ "Cc1nn(-c2ccc(C(=O)N3CC(C)CC(C)C3)cc2)c(C)c1Br",
13
+ "O=C(c1ccc(F)cc1)N1CCc2nc(-c3ccc(Cl)cc3)ncc2C1",
14
+ "O=C(c1ccc(F)c(Cl)c1)N1CCN(c2ccc(Cl)c(F)c2)CC1",
15
+ "O=C(c1ccc(Cl)c(Cl)c1)N1CCN(c2ccc(F)c(F)c2)CC1",
16
+ "O=C(c1cc(F)c(Cl)c(F)c1)N1CCN(c2ccc(F)cc2)CC1",
17
+ "Cc1cc(Cl)ccc1C(=O)N1CCN(c2nc3ccc(O)cc3s2)CC1",
18
+ "C[C@@H]1c2ccccc2CC[NH+]1Cc1nc(-c2ccc(F)c(Cl)c2)no1",
19
+ "Fc1ccc(-c2nc3c([nH]2)C[NH+](Cc2ccc(F)c(F)c2)CC3)cc1",
20
+ "O=C(c1ccc(F)cc1)N1CCN(c2cc(F)c(F)c(F)c2)CC1",
21
+ "O=C(c1cc(F)c(F)c(F)c1)N1CCC(c2ccc(F)cc2)CC1",
22
+ "Cc1cnc2ccc(C(=O)N3CCC(c4ccc(Cl)cc4)CC3)cc2n1",
23
+ "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(F)cc2)CC1",
24
+ "O=C(c1ccc(F)c(Cl)c1)N1CCN(c2ccc(F)c(F)c2)CC1",
25
+ "Cc1cnc2ccc(C(=O)N3CCN(c4ccc(Cl)cc4)CC3)cc2n1",
26
+ "Cc1c2c(nn1-c1ccc(Cl)cc1)CCCN(C(=O)c1ccccc1)C2",
27
+ "O=C(c1ccc(F)c(F)c1)N1CCC(c2ccc(F)c(F)c2)CC1",
28
+ "O=C(c1cc(F)c(F)c(F)c1)N1CCN(c2ccc(F)cc2)CC1",
29
+ "O=C(c1sc2ccccc2c1N1CCC[C@H]1C(F)(F)F)N1CCOCC1"
30
+ ],
31
+ "top_scores": [
32
+ -0.1126355230808258,
33
+ -0.1931576132774353,
34
+ -0.23322731256484985,
35
+ -0.2520871162414551,
36
+ -0.27004900574684143,
37
+ -0.27437177300453186,
38
+ -0.2837635576725006,
39
+ -0.3091402053833008,
40
+ -0.31884512305259705,
41
+ -0.32711613178253174,
42
+ -0.32906079292297363,
43
+ -0.3340243995189667,
44
+ -0.3368913531303406,
45
+ -0.3481702208518982,
46
+ -0.34957826137542725,
47
+ -0.35018473863601685,
48
+ -0.3571568429470062,
49
+ -0.35778990387916565,
50
+ -0.3611152470111847,
51
+ -0.371044397354126
52
+ ]
53
+ },
54
+ {
55
+ "ckpt": "step_010000.pt",
56
+ "train_step": 10000,
57
+ "best_fa": -0.06805772334337234,
58
+ "top10_mean": -0.17660535126924515,
59
+ "n_valid": 5000,
60
+ "infer_sec": 1683.9835839271545,
61
+ "top_smiles": [
62
+ "Cc1nc2ccc(C(=O)N3CCN(c4ccc(Cl)cc4Cl)CC3)cc2[nH]1",
63
+ "Cc1nn(C)c(C)c1C(=O)N1CCN(c2ccc(F)c(Cl)c2)CC1",
64
+ "Cc1c(Cl)cc(C(=O)N2CCN(c3ccc(Cl)cc3)CC2)cc1Cl",
65
+ "Cc1nc2ccc(N3CCN(C(=O)c4ccc(Cl)cc4Cl)CC3)cc2[nH]1",
66
+ "O=C(c1ccc2cc[nH]c2c1)N1CCC(c2c(F)cc(F)cc2F)CC1",
67
+ "O=C(c1cccc(Br)c1)N1CCN(c2ncnc3ccc(Cl)cc23)CC1",
68
+ "Nc1ccc(Cl)cc1CNC(=O)c1cc(Cl)c(Cl)cc1Cl",
69
+ "Cn1c([C@H]2CCCN(C(=O)c3ccc(F)cc3)C2)nc2ccc(F)cc21",
70
+ "O=C(c1cc(F)c(F)c(Cl)c1)N1CCC[C@H](c2ccc(F)cc2)C1",
71
+ "Cc1nn(-c2ccc(Cl)c(Cl)c2)c(Cc2ccc(Cl)cc2)c1C",
72
+ "CC1CCN(C(=O)c2ccc(-c3nc4ccccc4nc3Cl)cc2)CC1",
73
+ "Cc1nn(-c2ccc(Cl)c(Cl)c2)cc1C(=O)N1C[C@@H](C)O[C@@H](C)C1",
74
+ "Cc1cc(F)c(N2CCN(C(=O)[C@H]3CCC(F)(F)C3)CC2)cc1F",
75
+ "O=C(c1ccc(Cl)c(Cl)c1)N1CCN(c2ccc(F)c(F)c2)CC1",
76
+ "O=C(c1cc(F)c(F)c(F)c1)N1CCCC[C@@H]1c1ccc(F)cc1",
77
+ "O=C(c1cccc2ncc(Cl)cc12)N1CCN(c2ccc(Cl)cc2)CC1",
78
+ "O=C(c1cc(F)c(F)c(Cl)c1)N1CCN(c2ccc(Cl)cc2)CC1",
79
+ "O=C(c1cc(F)c(F)c(F)c1)N1CCC(c2cccc(Br)c2)CC1",
80
+ "CC1CCN(C(=O)c2ccc(-c3ccc(Cl)c(Cl)c3)cc2Cl)CC1",
81
+ "C[C@H]1CN(C(=O)c2cc(Cl)c3ccccc3n2)CC[C@H]1c1ccccc1"
82
+ ],
83
+ "top_scores": [
84
+ -0.06805772334337234,
85
+ -0.09319011121988297,
86
+ -0.16375732421875,
87
+ -0.16754555702209473,
88
+ -0.18235763907432556,
89
+ -0.19226431846618652,
90
+ -0.2028365284204483,
91
+ -0.21307732164859772,
92
+ -0.22089773416519165,
93
+ -0.2620692551136017,
94
+ -0.2647324204444885,
95
+ -0.2669067978858948,
96
+ -0.2671948969364166,
97
+ -0.27836403250694275,
98
+ -0.2848623991012573,
99
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+ 0.13534288108348846,
404
+ 0.12645657360553741,
405
+ 0.11485646665096283,
406
+ 0.0896584689617157,
407
+ 0.08129513263702393,
408
+ 0.07840285450220108,
409
+ 0.07688426971435547,
410
+ 0.06691861897706985,
411
+ 0.036377113312482834,
412
+ 0.013412141241133213,
413
+ -0.005452754441648722,
414
+ -0.02136666141450405,
415
+ -0.05511458218097687
416
+ ]
417
+ }
418
+ ]
ddpp_lb_nocvar/collected_molecules.csv ADDED
The diff for this file is too large to render. See raw diff
 
ddpp_lb_nocvar/results.json ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "method": "ddpp_lb_nocvar",
3
+ "best_fa": -0.08161933720111847,
4
+ "top10_mean": -0.320311164855957,
5
+ "collection_best_fa": -0.09939908236265182,
6
+ "n_collected": 24421,
7
+ "n_final": 1000,
8
+ "total_oracle_calls": 25421,
9
+ "ddpp_steps": 39350,
10
+ "top_smiles": [
11
+ "O=C(c1c(F)cccc1Cl)N1CCN(c2nc3cccc(O)c3s2)CC1",
12
+ "O=C(c1ccc(F)c(F)c1)N1CCC(c2ccc(Cl)cc2Cl)CC1",
13
+ "CC1CN(C(=O)c2ccc(-c3ccc(F)cc3F)cc2)C2CCCCC12",
14
+ "Fc1cc(F)c(-c2ccc(N3CCN(c4ccccc4)CC3)cc2)cc1I",
15
+ "CC(C)(C)C1CN(c2cc(Cl)ccc2Cl)CCN1c1ccc(F)cc1",
16
+ "Cc1ccc(C2CCN(C(=O)c3ccc(F)c(F)c3)CC2)cc1Br",
17
+ "CC1CCN(N2CCN(C(=O)c3ccc(F)c(F)c3)CC2)CC1C",
18
+ "CC1CN(C2CCN(C(=O)c3ccc(F)c(F)c3)CC2)CCN1C",
19
+ "CC(C)(C)C1CCCN1C(O)=NCc1cc(C(F)(F)F)ccc1F",
20
+ "O=C(c1ccc(N2CCCCC2)cc1)N1CCc2cc(Br)cc(O)c2C1",
21
+ "O=C(c1ccc2cc(F)ccc2c1)N1CCSC[C@H]1c1ccc(F)cc1",
22
+ "Cc1cc(C(=O)N2CCC(c3ccc(F)c(F)c3)CC2)ccc1F",
23
+ "O=C([C@H](O)Cc1c(F)cccc1F)N1CCC(c2ccc(Cl)cc2)CC1",
24
+ "CN1CCN(C(=O)c2ccc(-c3ccc4nc(Cl)ccc4c3)cc2)CC1",
25
+ "Cc1cc(F)ccc1N1CCN(C(=O)c2ccc(F)c(F)c2)CC1",
26
+ "O=C(c1c(F)cccc1F)N1CCC(c2ccc3c(c2)OCCO3)CC1",
27
+ "Cc1cc(N2CCN(C(=O)C3CCN(C)C(C)C3)CC2)ccc1N",
28
+ "O=C(NS(=O)(=O)c1cc(Cl)c(Cl)cc1F)c1cccc(Br)c1",
29
+ "CC(CCN1CCN(C)CC1)N=C(O)N=C(O)c1ccc(Cl)c(Cl)c1",
30
+ "O=C1CN(CC(O)=NC2CCN(CC(O)=NC3CCOC4CCCCC34)CC2)CCS1"
31
+ ],
32
+ "top_scores": [
33
+ -0.08161933720111847,
34
+ -0.24790985882282257,
35
+ -0.255571573972702,
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+ -0.28015947341918945,
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+ -0.3242820203304291,
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+ -0.36554011702537537,
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+ -0.38647592067718506,
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+ -0.4354473948478699,
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+ -0.4370802342891693,
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+ -0.44519445300102234,
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+ -0.45816606283187866,
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+ -0.4726299047470093,
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+ -0.4784305989742279,
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+ -0.4807679355144501,
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+ -0.5452479124069214,
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+ -0.5598590970039368,
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+ -0.5631826519966125,
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+ -0.5760980844497681,
52
+ -0.6069611310958862
53
+ ]
54
+ }
mcts_cvar/README.md ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # mcts_cvar
2
+
3
+ ## Summary
4
+ - **Best FA**: +0.143
5
+ - **Oracle calls**: 1,874
6
+ - **Wall time**: 4 hours
7
+ - **Epochs**: 75
8
+
9
+ ## Algorithm: MCTS Active Loop
10
+ 1. MCTS with UCB tree search, forward_op = ensemble surrogate (deterministic μ)
11
+ 2. MCTS is sequential (each iteration depends on backpropagated visit counts) → much slower per epoch
12
+ 3. Produces K=25 candidates, evaluated with FA oracle
13
+ 4. CVaR fine-tune DDPP, retrain ensemble
14
+
15
+ Fewer oracle calls (1,874) because MCTS is slow — only 75 epochs in 4hr.
16
+
17
+ ## Config
18
+ - selection: mcts (standalone), M=500, K=25
19
+ - tau_mode=cvar, tau_quantile=0.80
20
+ - wall_budget_sec=14400 (4hr)
21
+
22
+ ## Files
23
+ - active_loop_log.jsonl, oracle_progress.csv, results.json
mcts_fa_guided/oracle_timeline.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
mcts_fa_guided/results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_fa": 0.10570602118968964,
3
+ "best_smiles": "O=C(c1cc(Br)c(F)cc1F)N1CCc2nc(-c3ccccc3)sc2C1",
4
+ "top10_mean": -0.11594804801002499,
5
+ "n_molecules": 840,
6
+ "oracle_calls_logged": 840,
7
+ "wall_sec": 14495.18028998375,
8
+ "oracle_calls_final_only": 840,
9
+ "oracle_calls_rollout": 43750,
10
+ "oracle_calls_total": 44590
11
+ }
mcts_fa_logged/oracle_timeline.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
mcts_pure_fa/README.md ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # mcts_pure_fa
2
+
3
+ ## Summary
4
+ - **Best FA**: -1.068
5
+ - **Oracle calls**: 10,229
6
+ - **Method**: MCTS with pure FA oracle scoring, no surrogate
7
+
8
+ ## Algorithm
9
+ MCTS where every node evaluation calls FA oracle directly.
10
+ High oracle cost, poor results — FA scoring alone without surrogate/fine-tuning is inefficient.
11
+
12
+ ## Files
13
+ - oracle_timeline.jsonl, results.json
mcts_pure_fa/metrics.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "method": "mcts_pure",
3
+ "sampler": "mcts",
4
+ "finetune": "none",
5
+ "guide_reward": "none",
6
+ "start_time": "2026-03-24T16:44:44.179114",
7
+ "end_time": "2026-03-24T20:49:58.757245",
8
+ "wall_sec": 14714.58,
9
+ "reward_calls": 10229,
10
+ "forward_passes": 0,
11
+ "validity": 1.0,
12
+ "uniqueness": 1.0,
13
+ "qed_mean": 0.9029200918158028,
14
+ "qed_top10": 0.9459429704064078,
15
+ "qed_max": 0.9484244589040274,
16
+ "num_samples": 9782,
17
+ "oracle_mean": -1.526969,
18
+ "oracle_top10": -1.105592,
19
+ "oracle_best": -1.068094,
20
+ "oracle_n_scored": 10229,
21
+ "oracle_logged": true
22
+ }
mcts_pure_fa/oracle_timeline.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
mcts_pure_fa/samples.csv ADDED
The diff for this file is too large to render. See raw diff
 
mcts_surrogate_frozen/README.md ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # mcts_surrogate_frozen
2
+
3
+ ## Summary
4
+ - **Best FA**: -0.767
5
+ - **Oracle calls**: 1,700
6
+ - **Method**: MCTS with frozen surrogate (old run, ml6)
7
+
8
+ ## Algorithm
9
+ MCTS guided by a frozen surrogate. No online learning.
10
+ Old baseline from ml-login6.
11
+
12
+ ## Files
13
+ - results.json or metrics.json
mcts_surrogate_frozen/metrics.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "method": "mcts_surrogate",
3
+ "sampler": "mcts",
4
+ "finetune": "mcts_surrogate",
5
+ "guide_reward": "surrogate",
6
+ "wall_sec": 14433.3,
7
+ "reward_calls": 1700,
8
+ "num_samples": 1700,
9
+ "surrogate_pts": 1700,
10
+ "oracle_logged": true,
11
+ "oracle_mean": -1.2982,
12
+ "oracle_top10": -1.0345,
13
+ "oracle_best": -0.7673,
14
+ "oracle_n_scored": 1700
15
+ }
mcts_surrogate_frozen/oracle_timeline.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
mcts_surrogate_frozen/samples.csv ADDED
@@ -0,0 +1,1701 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ smiles
2
+ O=C(NC1CCS(=O)(=O)C1)c1ccc(-c2ccccc2)cc1
3
+ O=C(NCc1ccon1)N1CCC[C@@H](c2ccccc2)C1
4
+ CO[C@H]1CCCN(C(=O)NCc2cc3ccccc3o2)C1
5
+ O=C(NCc1csnn1)N1CCC[C@@H](c2ccccc2)C1
6
+ N#Cc1ccc(NC(=O)[C@H]2CCCN2c2ccc(F)cc2)cc1
7
+ O=C(NC[C@@H]1CCCN(c2ccccn2)C1)c1cccs1
8
+ O=C(NCC1(c2ccccc2)CCC1)c1ncncc1Cl
9
+ CN1C(=O)CC[C@H]1NC(=O)c1ccc(-c2ccc(F)cc2)nc1
10
+ O=C(NCc1ccsn1)N1CCC[C@H](c2ccccc2)C1
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+ O=C(NCC1CCOCC1)c1csc(-c2ccccc2)n1
12
+ O=C(NCc1ccsn1)N1CCN(c2ccccc2)CC1
13
+ O=C(NCc1nccs1)[C@H]1CCCN(c2ccccc2)C1
14
+ O=C(NCc1cccs1)N1CCO[C@H](c2ccccc2)C1
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+ O=C(NC[C@H]1CCCN(c2ccccc2)C1)c1ccsn1
16
+ Cc1ccc(C(=O)N[C@H]2CCN(c3ccc(F)cc3)C2=O)cc1
17
+ O=C(NCc1ccns1)N1CCC[C@H](c2ccccc2)C1
18
+ O=C(NCc1ccon1)N1CCC[C@H](c2ccccc2)C1
19
+ N#Cc1ccc(NC(=O)C2CCN(c3ccc(F)cc3)C2)cc1
20
+ Cc1cc(CNC(=O)c2ccc3c(c2)OCCO3)ccc1Cl
21
+ CN1CC[C@H](NC(=O)c2ccccc2-c2cccc(F)c2)C1=O
22
+ CS(=O)(=O)O
23
+ CC1CN(CC(=O)[O-])CCC1C(=O)O
24
+ CC(C)(Br)CCN1CCC(C(=O)O)CC1
25
+ C#CCC(=O)N1CCC(C(=O)O)C(C)C1
26
+ C#CCC(=O)N1CCCC(C)(C(=O)O)C1
27
+ CC(C)(C(=O)c1ccc(Br)cc1)S(N)(=O)=O
28
+ CC(C)(C(=O)c1ccc(Br)cc1)S(C)(=O)=O
29
+ CC(C)(C(=O)S(C)(=O)=O)c1ccc(Br)cc1
30
+ Cc1cc(C(F)(F)F)cc(C(=O)O)c1Br
31
+ CS(=O)(=O)C(O)=NCC(=O)c1ccc(Br)cc1
32
+ CC(C)(Br)CCN1CCC(C(C)(C)C)CC1
33
+ O=C(O)Cc1ccc(C(=O)O)c(Br)c1
34
+ C=CCC(=O)N1CCC(C(=O)O)C(C)C1
35
+ O=C(O)c1ccc(OC(F)(F)F)cc1Br
36
+ CCC(Cl)C(=O)N1CCC(C(=O)O)C(C)C1
37
+ CC1(C)CCC1C(=O)N1CCC([NH3+])CC1
38
+ CC1(C)CCC1C(=O)N1CCCC(Br)C1
39
+ CC1(C)CCC1C(=O)N1CCC(Br)CC1
40
+ O=CO
41
+ CC(C(O)=NC(C)S(C)(=O)=O)c1ccc(Br)cc1
42
+ Fc1ccc(CN2CCN(c3ccc(Cl)cc3)CC2)c(Cl)c1
43
+ Fc1ccc(N2CCN(Cc3ccc(Cl)cc3)CC2)c(Cl)c1
44
+ Clc1ccc(N2CCC(Nc3nc(Cl)ncc3Cl)CC2)cc1
45
+ Fc1ccc(CN2CCN(c3ccc(Br)cc3)CC2)c(Cl)c1
46
+ Fc1ccc(N2CCN(Cc3ccc(Cl)cc3Cl)CC2)cc1
47
+ Fc1ccc(N2CCN(Cc3ccc(Br)cc3Cl)CC2)cc1
48
+ Fc1ccc(N2CCN(Cc3cc(Br)ccc3Cl)CC2)cc1
49
+ Fc1ccc(N2CCC(Nc3ncc(Cl)cc3Cl)CC2)cc1
50
+ Fc1ccc(CN2CCN(c3ccc(Cl)cc3)CC2)c(F)c1
51
+ Fc1ccc(N2CCN(Cc3ccc(Cl)cc3)CC2)c(F)c1
52
+ Fc1ccc(N2CCN(Cc3ccc(Br)cc3)CC2)c(F)c1
53
+ Fc1ccc(N2CCN(Cc3ccc(F)cc3Cl)CC2)cc1
54
+ Fc1cccc(CN2CCN(c3ccc(Cl)cc3F)CC2)c1
55
+ Fc1ccc(CN2CCN(c3ccc(Cl)cc3F)CC2)cc1
56
+ Fc1ccc(N2CCN(Cc3ccc(Cl)cc3F)CC2)cc1
57
+ Fc1ccc(N2CCC(Nc3ccc(Cl)cc3F)CC2)cc1
58
+ Fc1cc(F)c(CN2CCN(c3ccccc3)CC2)cc1Br
59
+ Fc1ccc(N2CCN(Cc3ccc(F)cc3Br)CC2)cc1
60
+ Fc1ccc(CN2CCN(c3ncc(Br)cc3F)CC2)cc1
61
+ Cc1ccc(Br)c(CN2CCN(c3ccc(Cl)cc3)CC2)c1
62
+ Clc1cc(Cl)c(Cc2ccccc2)c(Br)c1
63
+ Fc1cc(Cl)cc(Cl)c1Cc1ccccc1
64
+ Fc1cc(Cl)c(Cl)cc1Cc1ccccc1
65
+ Cc1cc(Cl)cc(Cl)c1Cc1ccccc1
66
+ Clc1ccc2nc(Cc3ccccc3)ccc2c1
67
+ Clc1ccc2ccc(Cc3ccccc3)nc2c1
68
+ Clc1ccc2cc(Cc3ccccc3)ccc2c1
69
+ Clc1ccc2c(Cc3ccccc3)cccc2c1
70
+ Clc1cccc2ccc(Cc3ccccc3)cc12
71
+ Clc1ccc2cccc(Cc3ccccc3)c2c1
72
+ Clc1ccc2ccc(Cc3ccccc3)cc2c1
73
+ Clc1cccc2cc(Cc3ccccc3)ccc12
74
+ Clc1cccc2c(Cc3ccccc3)cccc12
75
+ N#CC(c1ccccc1)c1ccc(Cl)cc1Cl
76
+ Oc1c(Cl)cc(Cc2ccccc2)cc1Cl
77
+ Cc1cc(Cc2ccccc2)c(Cl)cc1Br
78
+ N#CC(c1ccccc1)c1ccc(Cl)c(Cl)c1
79
+ Brc1ccc2ccc(Cc3ccccc3)cc2c1
80
+ Brc1ccc2cc(Cc3ccccc3)ccc2c1
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+ Brc1ccc2cccc(Cc3ccccc3)c2c1
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+ Clc1nc(N2CCN(CC3CCC3)CC2)c2ccccc2n1
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+ FC(F)(F)CN1CCN(Cc2cc3ccccc3cn2)CC1
84
+ Clc1cc(N2CCN(CC3CCC3)CC2)c2ccccc2n1
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+ Brc1nc(N2CCN(CC3CCC3)CC2)c2ccccc2n1
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+ CC(=O)N1CCN(Cc2ccc3cc(Cl)ccc3n2)CC1
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+ CC(=O)N1CCN(Cc2cnc3cc(Cl)ccc3c2)CC1
88
+ Nc1nc(N2CCN(CC3CCC3)CC2)c2ccccc2n1
89
+ Cc1cc(NC(=O)c2ccc(Cl)c(Br)c2)nc(C)n1
90
+ Cc1nc2cc(C(=O)Nc3ccc(Cl)cc3F)ccc2[nH]1
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+ Cc1nc2cc(NC(=O)c3cc(F)ccc3Cl)ccc2[nH]1
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+ Cc1ccc(NC(=O)c2ccc3nc(C)[nH]c3c2)c(Cl)c1
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+ CC(=O)N1CCN(Cc2ccc3cc(Br)ccc3n2)CC1
94
+ Cc1nc2ccc(C(=O)Nc3ccc(Br)cc3C)cc2[nH]1
95
+ Cc1ccc(-c2ccc(C(=O)N3CCCC3)cn2)cc1F
96
+ CC(=O)N1CCN(Cc2ccc3cc(Cl)ccc3c2)CC1
97
+ CNCCC1CCCN(Cc2cccc(F)c2Cl)C1
98
+ CC(=O)N1CCN(Cc2ccc(Cl)c(Cl)c2)CC1C
99
+ Fc1cccc(CN2CCCC(NC3CCC3)C2)c1
100
+ Cc1nc2ccc(C(=O)Nc3cc(F)ccc3C)cn2n1
101
+ CN1CCC(CN2CCN(c3ncnc4ccccc34)CC2)CC1
102
+ Cc1cc(CN)n(Cc2ccc(Br)c(Cl)c2)n1
103
+ Cc1cc(CCl)n(Cc2ccc(F)c(Br)c2)n1
104
+ Cc1cc(CN)n(Cc2ccc(Cl)c(Cl)c2)n1
105
+ Brc1ccc(Cc2n[nH]c(-c3ccccc3)n2)cc1
106
+ Brc1ccc(-c2nc(Cc3ccccc3)n[nH]2)cc1
107
+ Cc1nn(C)cc1NC(=O)c1cc(Br)ccc1Cl
108
+ Cc1cc(CN)n(Cc2ccc(Cl)c(F)c2)n1
109
+ Cc1cc(CN)n(Cc2ccc(F)c(Cl)c2)n1
110
+ Cc1nnc(CN)n1Cc1ccc(Cl)c(F)c1
111
+ CCc1nnc(S)n1Cc1ccc(Cl)c(Br)c1
112
+ Cc1cc(CN)n(Cc2ccc(Br)c(C)c2)n1
113
+ Clc1ccc(Cc2n[nH]c(-c3ccccc3)n2)cc1
114
+ Cc1cc(CN)n(Cc2ccc(Cl)c(C)c2)n1
115
+ Cc1cc(CN)n(Cc2ccc(C)c(Cl)c2)n1
116
+ O=C(Nc1ccc(Br)nc1)c1ccc(Br)cc1Cl
117
+ O=C(Nc1ccc(Cl)cn1)c1ccc(Br)cc1Br
118
+ O=C(Nc1ccc(Cl)cc1Br)c1cc(Br)ccn1
119
+ O=C(Nc1ccc(Cl)c(Br)c1)c1ccncc1Br
120
+ O=C(Nc1ccc(Br)cn1)c1ccc(Br)cc1Cl
121
+ O=C(Nc1ccc(Cl)nc1)c1ccc(Cl)cc1Br
122
+ Cc1nc(C2CCN(C(=O)c3ccncc3Br)CC2)n[nH]1
123
+ Cc1ccc(C(=O)N2CCC(c3nn[n-]n3)CC2)cc1Cl
124
+ Cc1nc(C2CCN(C(=O)c3ccccc3Br)CC2)n[nH]1
125
+ Cc1nc(C2CCN(C(=O)c3ccncc3Cl)CC2)n[nH]1
126
+ Cc1cc(C(=O)N2CCN(c3ccccc3Br)CC2)n[nH]1
127
+ Nc1ccc(C(=O)N2CCC(c3nn[n-]n3)CC2)cc1F
128
+ Cn1cc(C(=O)N2CCN(c3ccccc3Br)CC2)cn1
129
+ Cn1ccc(C(=O)N2CCN(c3ccccc3Br)CC2)n1
130
+ Cc1nc([C@@H]2CCCN(C(=O)c3ccc(Cl)cc3)C2)n[nH]1
131
+ C[NH+]1CCC[C@@H](C(=O)Nc2c(Cl)cc(Br)cc2Cl)C1
132
+ C[C@H]1CCCN(C(=O)c2ccn(-c3ccccc3Cl)n2)C1
133
+ Cc1ccc(C(=O)N2CCC(c3nn[n-]n3)CC2)cc1F
134
+ Cc1nc(C2CCN(C(=O)c3ccccc3Cl)CC2)n[nH]1
135
+ Cc1nc(C2CCN(C(=O)c3ccc(Cl)cc3)CC2)n[nH]1
136
+ Cc1nc(C2CCCN(C(=O)c3ccc(Cl)cc3)C2)n[nH]1
137
+ Cc1cc(Br)n(C2CCN(Cc3ccccc3)CC2)n1
138
+ Cc1cc(C(=O)N2CCN(c3ccccc3Cl)CC2)n[nH]1
139
+ C[C@H]1CC[C@H](NC(=O)c2cc3ccc(Br)cc3[nH]2)C1
140
+ [NH3+][C@H]1CCC[C@H](C(=O)Nc2cc(Cl)c(F)cc2Br)C1
141
+ O=C(c1ccc(Cl)cc1Cl)N1CCC(c2cn[nH]n2)CC1
142
+ C[NH2+][C@H]1CCN(C(=O)c2ccc(F)c(Br)c2)C1
143
+ Cn1ccc2ccc(Br)c(C(=O)N3CC4CCCCC4C3)c21
144
+ Cc1ccc2[nH+]c(C(=O)N3CCCc4ccccc43)cn2c1
145
+ [NH3+]C1CCN(C(=O)Nc2ccc(Br)cc2)CC1
146
+ C[C@@H]1CCCN(C(=O)Nc2ccc(Br)nc2)C1
147
+ Cc1nc2ccc(C(=O)N3CCCc4ccccc43)cc2[nH]1
148
+ Cc1nc2cc(C(=O)N3CCCc4ccccc43)ccc2[nH]1
149
+ [NH3+][C@@H]1CCN(C(=O)c2ccc(Br)nc2)CC12CCCC2
150
+ Nc1ccc2cc(C(=O)N3CCCc4ccccc43)[nH]c2c1
151
+ Cc1nc2ccc(C(=O)N3CCOc4ccccc43)cc2[nH]1
152
+ C[C@H]1CCCN(C(=O)c2cc3cc(F)c(Cl)cc3[nH]2)C1
153
+ [NH3+][C@@H]1CCN(C(=O)c2ccc(Cl)cn2)CC2(CCC2)C1
154
+ Nc1cc(Br)ccc1C(=O)N1CC[NH2+]CC1
155
+ [NH3+][C@H]1CCN(C(=O)c2ccc(Cl)nc2)CC12CCCC2
156
+ [NH3+][C@@H]1CCN(C(=O)c2ccc(Cl)cn2)CC12CCCC2
157
+ CC1CCN(C(=O)c2c[nH]c3ccc(Br)cc23)CC1C
158
+ COC1CCN(C(=O)c2ccc(Cl)c(Br)c2)C1
159
+ C[C@H]1CCCN(C(=O)Nc2ccc(Cl)nc2)C1
160
+ O=C(c1ccc(Br)c(F)c1)N1CCC[C@@]2(CC[NH2+]C2)C1
161
+ [NH3+][C@H]1CCN(C(=O)c2ccc(Br)cc2)CC12CCCC2
162
+ Cc1nc(C2CCN(C(=O)c3ccc(Br)cc3)CC2)n[nH]1
163
+ O=C(O)c1ccc(Cl)cc1Cl
164
+ O=C(c1cc(Br)c[nH]1)N1CCN(c2ccc(Cl)cc2)CC1
165
+ O=C(c1ccc(Br)[nH]1)N1CCN(c2ccc(Cl)cc2)CC1
166
+ O=C(c1ccc(Cl)cn1)N1CC[C@H](c2ccc(Br)cc2)C1
167
+ Cc1cc(C(=O)N2CCC(c3ccc(Br)cc3)CC2)n[nH]1
168
+ O=C(c1ccc(Br)cn1)N1CC[C@@H](c2ccc(Cl)cc2)C1
169
+ O=C(c1ccc(Cl)nc1)N1CC[C@@H](c2ccc(Br)cc2)C1
170
+ Cc1nc(C2CCN(C(=O)c3ccc(Cl)cc3)CC2)n[nH]1
171
+ Cc1cc(C(=O)N2CCN(c3ccc(Br)cc3)CC2)n[nH]1
172
+ Cc1cc(C(=O)N2CCN(c3cccc(Br)c3)CC2)n[nH]1
173
+ Cc1nc(-c2ccc(C(=O)N3CCC(F)CC3)cc2)n[nH]1
174
+ O=C1C[C@H](c2ccccc2)CN1Cc1ccc(Br)cc1Cl
175
+ Cc1ccc(C(=O)N2CC[C@H](c3ccc(Br)cc3)C2)nn1
176
+ O=C(c1ccc(Br)cc1)N1CC[C@@H](c2ccc(Cl)cc2)C1
177
+ O=C(c1cccc(Cl)c1)N1CC[C@@H](c2ccc(Br)cc2)C1
178
+ O=C(c1ccc(Cl)cc1)N1CC[C@@H](c2ccc(Br)cc2)C1
179
+ Cc1ccc(CN2C[C@H](c3nccn3C)CC2=O)c(Br)c1
180
+ Cn1nnc2cc(C(=O)Nc3ccc(F)cc3F)ccc21
181
+ C[C@H]1C[NH+](Cc2ccc(Cl)cc2Br)C[C@H](c2ccnn2C)O1
182
+ Clc1ccc(CN2Cc3ccccc3C2)c(Br)c1
183
+ Clc1ccc(CN2Cc3ccccc3C2)c(Cl)c1
184
+ CCCN=C(O)c1cccc2nc(-c3ccc(Cl)cc3)[nH]c12
185
+ CCCN=C(O)c1ccc2nc(-c3ccc(Cl)cc3)[nH]c2c1
186
+ CCCN=C(O)c1cccc2[nH]c(-c3ccc(Cl)cc3)nc12
187
+ CCCN=C(O)c1cccc2nc(-c3ccc(Br)cc3)[nH]c12
188
+ CCCN=C(O)c1cccc2[nH]c(-c3ccc(Br)cc3)nc12
189
+ O=[SH](=O)c1ccc2nc(-c3ccc(F)cc3)[nH]c2c1
190
+ Cc1n[nH]c2ccc(C(O)=Cc3ccc(F)cc3)cc12
191
+ Cn1nnc2ccc(N=CCc3ccc(Cl)cc3)cc21
192
+ Fc1ccc(Cc2nc3ccccc3[nH]2)c(Br)c1
193
+ CCCN=C(O)c1cccc2[nH]c(-c3ccc(Cl)cc3)cc12
194
+ CN=C(O)c1ccc2nc(-c3ccc(Br)cc3)[nH]c2c1
195
+ CN=C(O)c1ccc2[nH]c(-c3ccc(Br)cc3)nc2c1
196
+ CCCN=C(O)c1cccc2[nH]c(-c3ccc(F)cc3)nc12
197
+ CCCN=C(O)c1ccc2[nH]c(-c3ccc(F)cc3)nc2c1
198
+ CCCN=C(O)c1cccc2nc(-c3ccc(F)cc3)[nH]c12
199
+ CCCN=C(O)c1ccc2nc(-c3ccc(F)cc3)[nH]c2c1
200
+ Cn1cnc2ccc(N=CCc3ccc(Br)cc3)cc21
201
+ Clc1ccc(Cc2nc3ccccc3[nH]2)c(Cl)c1
202
+ C[C@H]1CCCN(C(=O)c2cc(Br)ccc2Cl)C1
203
+ C[C@H]1CCCN(C(=O)c2ccc(Br)cc2Cl)C1
204
+ C[C@H]1CCCN(C(=O)c2ccc(Cl)cc2Br)C1
205
+ C[C@H]1CCCN(C(=O)c2cc(Cl)ccc2Br)C1
206
+ C[C@@H]1CCCN(C(=O)c2ccc(Br)cc2Br)C1
207
+ O=C(O)[C@H]1CCCN(c2cc(Cl)ccc2Br)C1
208
+ C[C@H]1CN(C(=O)c2ccc(Br)cc2Cl)CCO1
209
+ N[C@H]1CCCN(C(=O)c2ccc(Br)cc2Cl)C1
210
+ C[C@H]1CN(C(=O)c2ccc(Br)cc2Cl)CCN1
211
+ C[C@@H]1CCCN(C(=O)c2ccc(Br)cc2Cl)C1
212
+ C[C@@H]1CCCN(C(=O)c2cc(Cl)ccc2Br)C1
213
+ C[C@@H]1CCCN(C(=O)c2ccc(Cl)cc2Br)C1
214
+ C[C@H]1CCCN(C(=O)c2ccc(Cl)cc2Cl)C1
215
+ C[C@@H]1CCCN(C(=O)c2ccc(F)cc2Br)C1
216
+ C[C@@H]1CCCN(C(=O)c2ccc(Br)cc2F)C1
217
+ C[C@H]1CCCN(C(=O)c2ccc(Br)cc2Br)C1
218
+ C[C@@H]1CN(C(=O)c2ccc(F)cc2Br)CCO1
219
+ C[C@@H]1CN(C(=O)c2cc(Br)ccc2F)CCO1
220
+ C[C@@H]1CN(C(=O)c2ccc(Br)cc2F)CCO1
221
+ C[C@@H]1CN(C(=O)c2ccc(Cl)cc2Br)CCO1
222
+ Clc1ccc(Cc2noc(C3CCC4(CCC4)C3)n2)cc1
223
+ Fc1cc(C[NH+]2CC[C@@H](c3ccc(Br)cc3)C2)ccc1Cl
224
+ Fc1ccc(C[NH+]2CC[C@@H](c3ccc(Br)cc3)C2)cc1Cl
225
+ O=C(NCc1ccc(F)cc1)c1cc(Br)[nH]n1
226
+ Fc1ccc([C@@H]2CC[NH+](Cc3ccc(Br)c(Cl)c3)C2)cc1
227
+ Fc1cc(C[NH+]2CCC[C@@H]2c2ccc(Br)cc2)ccc1Cl
228
+ Fc1ccc([C@H]2CCN(c3nc(C4CCCCC4)no3)C2)cc1
229
+ Fc1cc(C[NH+]2CC[C@H](c3ccc(Br)cc3)C2)ccc1Cl
230
+ Fc1ccc(C[NH+]2CC[C@H](c3ccc(Br)cc3)C2)cc1Cl
231
+ Cc1nc(CNC(=O)c2ccc(Br)cc2)n[nH]1
232
+ Cc1cc(C(=O)NCc2ccc(Br)cc2)n[nH]1
233
+ Clc1ccc(-c2nc(C[NH+]3CCC4(CCC4)C3)cs2)cc1
234
+ Fc1ccc([C@H]2CC[NH+](Cc3ccc(Br)c(Cl)c3)C2)cc1
235
+ Clc1ccc(-c2noc(C[NH+]3CCC4(CCC4)C3)n2)cc1
236
+ Clc1ccc(-c2nc(C[NH+]3CCC4(CCC4)C3)no2)cc1
237
+ Cc1nc(N[C@@H]2CCN(c3ccc(F)cc3)C2)ncc1Br
238
+ Fc1ccc(-c2noc(C[NH+]3CCN4CCCC[C@H]4C3)n2)cc1
239
+ Fc1ccc(C[NH+]2CC[C@@H](c3ccc(Br)cc3)C2)cc1F
240
+ Fc1ccc([C@@H]2CC[NH+](Cc3ccc(Br)cc3)C2)cc1F
241
+ Fc1ccc([C@@H]2CC[NH+](Cc3cc(Br)ccc3F)C2)cc1
242
+ Clc1ccc(C[NH+]2CCO[C@]3(CCC[NH2+]C3)C2)cc1Cl
243
+ Clc1ccc(C[NH+]2CCO[C@@]3(CCC[NH2+]C3)C2)cc1Br
244
+ Clc1cc(C[NH+]2CCO[C@@]3(CCC[NH2+]C3)C2)ccc1Br
245
+ Clc1cc(C[NH+]2CCC[C@@]3(CCC[NH2+]C3)C2)ccc1Br
246
+ Clc1ccc(C[NH+]2CCC[C@@]3(CC[NH2+]C3)CC2)cc1Br
247
+ Clc1ccc(C[NH+]2CCC[C@@]3(CCC[NH2+]C3)C2)cc1Br
248
+ Clc1ccc(C[NH+]2CCC[C@]3(CCCOC3)C2)cc1Br
249
+ C[C@H]1C[NH2+]CC[C@@H]1C(=O)Nc1ccc(Br)cc1Br
250
+ [NH3+][C@@H](CCC(F)(F)F)C(=O)Nc1ccc(F)cc1Br
251
+ Fc1ccc(C[NH+]2CCC[C@@H]([C@@H]3CC[NH2+]C3)C2)cc1Br
252
+ Clc1ccc(C[NH+]2CCO[C@]3(CCCOC3)C2)cc1Br
253
+ Clc1cc(C[NH+]2CCO[C@]3(CCCOC3)C2)ccc1Br
254
+ Clc1ccc(C[NH+]2CCO[C@@]3(CCCOC3)C2)cc1Br
255
+ Clc1cc(C[NH+]2CCO[C@@]3(CCCOC3)C2)ccc1Br
256
+ C[NH+]1CC[C@@H]([C@H]2CCC[NH+]2Cc2ccc(Cl)c(F)c2)C1
257
+ C[NH+]1CCCC[C@@H]1C(=O)Nc1ccc(F)cc1Br
258
+ Clc1ccc(C[NH+]2CCO[C@]3(CCC[NH2+]C3)C2)cc1Br
259
+ Clc1cc(C[NH+]2CCO[C@]3(CCC[NH2+]C3)C2)ccc1Br
260
+ Clc1ccc(C[NH+]2CCO[C@]3(CCCOC3)C2)cc1Cl
261
+ C[NH+]1CC[C@H]2C[NH+](Cc3ccc(Br)c(F)c3)CC[C@H]2C1
262
+ N[C@H]1CCN(c2ccc(Br)cc2)C1
263
+ CC(=O)Nc1cc(Cl)cc2[nH]c(C)cc12
264
+ Brc1ccc(O[C@@H]2CCNC2)cc1
265
+ Brc1ccc(CN2CCNC2)cc1
266
+ Brc1ccc(N2CCNCC2)cc1
267
+ Nc1ccc(Cl)cc1
268
+ N[C@@H]1CCN(c2ccc(Br)cc2)C1
269
+ NCc1ccc(Cl)cn1
270
+ O=C(CCl)N1CCN(c2ccc(Cl)cc2)CC1
271
+ Clc1ccc(N2CCNCC2)cc1
272
+ CNCc1ccc(Br)cc1
273
+ Fc1ccc([C@@H]2CCNC2)cc1
274
+ N[C@H]1CCN(c2ccc(F)cc2)C1
275
+ N[C@H]1CC[C@H](c2ccc(F)cc2)C1
276
+ N[C@@H]1CCN(c2ccc(F)cc2)C1
277
+ Clc1ccc(C[NH+]2CCNC2)cc1
278
+ NCc1cccc(Br)c1
279
+ NCc1ccc(Br)cc1
280
+ NCc1ccc(Br)cn1
281
+ CC(C)c1ccc(C(=O)C(F)(F)F)cc1
282
+ C[NH+]1CCC[C@@H](C(=O)Nc2ccc(Br)cc2Cl)C1
283
+ CCc1nnc(N)s1
284
+ Clc1ccc(N2CCN(c3ccc4c(c3)OCO4)CC2)cn1
285
+ CCc1noc(CN2CCC(CCl)CC2)n1
286
+ Fc1ccc(N2CCN(c3ccc(Cl)c(Cl)c3)CC2)c(Cl)c1
287
+ Fc1ccc(N2CCN(c3ccc4c(c3)OCO4)CC2)cn1
288
+ Clc1ccc(N2CCN(c3ccc4c(c3)OCO4)CC2)cc1
289
+ Clc1cccc(N2CCN(c3ccc4c(c3)OCO4)CC2)c1
290
+ Cc1cc(N2CCN(c3ccc(Cl)cc3F)CC2)nc(C)n1
291
+ Cc1cc(N2CCN(c3ccc(Cl)cc3)CC2)c(F)cc1Br
292
+ C[NH+]1CCC[C@H](C(=O)Nc2ccc(Cl)cc2Br)C1
293
+ C[NH+]1CCC[C@H](C(=O)Nc2ccc(Br)cc2Cl)C1
294
+ Fc1ccc(N2CCN(c3ccc4c(c3)OCO4)CC2)cc1
295
+ Fc1cccc(N2CCN(c3ccc4c(c3)OCO4)CC2)c1
296
+ Brc1ccc(N2CCN(c3ccc4c(c3)CCN4)CC2)cc1
297
+ Brc1cccc(N2CCN(c3ccc4c(c3)CNC4)CC2)c1
298
+ Brc1ccc(N2CCN(c3ccc4c(c3)CNC4)CC2)cc1
299
+ Fc1ccc(N2CCN(c3ccc4c(c3)CNC4)CC2)cc1
300
+ Fc1ccc(N2CCN(c3ccc4c(c3)CCN4)CC2)cc1
301
+ CCc1nnc(C[NH+]2CC[C@@H](O)C(C)(C)C2)s1
302
+ Clc1cnc(N2CCN(Cc3ccccc3Cl)CC2)nc1
303
+ Fc1cnc(N2CCN(Cc3ccccc3Cl)CC2)nc1
304
+ Fc1c(Br)ccc(N2CCN(c3ccc(Cl)cc3)CC2)c1F
305
+ Clc1cccc(N2CCN(C3=c4[nH]c5ccccc5c4=C3)CC2)c1
306
+ Nc1ccc(N2CCN(c3cc(Cl)cc(F)c3F)CC2)nc1
307
+ Fc1cccc(N2CCN(c3ccc(Cl)c(Cl)c3)CC2)c1F
308
+ Clc1cnc(N2CCN(Cc3ccccc3)CC2)c(Cl)c1
309
+ Clc1ccc(NC2CCN(c3ccc(Cl)cn3)CC2)cc1
310
+ Fc1ccc(N2CCN(c3cccc(F)c3Cl)CC2)cc1Cl
311
+ Cn1ccc2cc(N3CCN(c4ncc(Cl)cc4Cl)CC3)ccc21
312
+ Clc1ccc(N2CCC(Nc3ccc(Br)cn3)CC2)cc1
313
+ Clc1cnc(N2CCN(Cc3ccccc3)CC2)c(Br)c1
314
+ Clc1ccc(N2CCC(Nc3ncccc3Br)CC2)cc1
315
+ Fc1cccc(N2CCN(C3CC(c4ccccc4)=N3)CC2)c1
316
+ Cc1c(Cl)ccc(N2CCN(c3ccc(Cl)cc3)CC2)c1Cl
317
+ Cc1cccc(N2CCN(c3ccc(Cl)c(Cl)c3)CC2)c1Cl
318
+ Clc1ccc(N2CCC(Nc3ccccc3Cl)CC2)nc1
319
+ Clc1ccc(CN2CCN(c3ncccc3Cl)CC2)cc1
320
+ Clc1ccc(N2CCC(Nc3ncccc3Cl)CC2)cc1
321
+ Clc1ccnc(N2CCN(c3cnc4ccc(Cl)cc4c3)CC2)c1
322
+ FC1(F)CCN(Cc2cc(Cl)ccc2Br)C1
323
+ O=C(c1cc(Cl)ccc1Br)N1CCC[C@H](Cl)C1
324
+ Brc1ccc(Br)c(C[NH+]2C[C@H]3CCCC[C@H]3C2)c1
325
+ Clc1ccc(Br)c(CN2CCC3(CCCC3)C2)c1
326
+ Brc1ccc(Br)c(CN2CCC3(CCCC3)C2)c1
327
+ Clc1ccc(Br)c(CN2CCNC3CCCC32)c1
328
+ Clc1ccc(Br)c(CN2CC3CCCNC3C2)c1
329
+ Clc1ccc(Br)c(CN2CCN3CCCC3C2)c1
330
+ CC1(C)CCN(Cc2cc(Cl)ccc2Br)C1
331
+ CC1(C)CCN(Cc2cc(Br)ccc2Cl)C1
332
+ Brc1ccc(Br)c(C[NH+]2C[C@@H]3CC[NH2+]C[C@H]3C2)c1
333
+ N#CC1CCN(Cc2cc(Cl)ccc2Br)CC1
334
+ N#CC1CCN(Cc2cc(Br)ccc2Cl)CC1
335
+ N#CC1CCCN(Cc2cc(Cl)ccc2Br)C1
336
+ [NH3+][C@H]1CCCN(C(=O)c2cc(Cl)ccc2Br)C1
337
+ N#CC1CCN(Cc2cc(F)ccc2Cl)CC1
338
+ N#CC1CCN(Cc2cc(Cl)ccc2F)CC1
339
+ CC1(N)CCN(Cc2cc(Cl)ccc2Br)C1
340
+ CC1(N)CCN(Cc2cc(Br)ccc2Cl)C1
341
+ O=C(c1cc(Cl)ccc1Br)N1CCC[C@H](Br)C1
342
+ Fc1ccc(-c2noc([C@H]3CCC[C@H](C4CCOCC4)C3)n2)cc1
343
+ O=C1CCC[C@@H](C(=O)Nc2ccc(Br)cc2)c2ccccc21
344
+ Fc1ccc(-c2noc([C@@H]3CCC[C@@H](C4CCCCC4)C3)n2)cc1
345
+ O=C(c1ccc(F)cc1)c1nc(C2CCCCC2)no1
346
+ Clc1ccc(CN2CCN(c3ccc(Br)cn3)CC2)cc1
347
+ O=C(c1csc(-c2ccc(Br)cc2)n1)N1CCCCC1
348
+ O=C(c1csc(-c2cccc(Br)c2)n1)N1CCCCC1
349
+ Cc1ccc(-c2nc(C(=O)N3CC=CC3)cs2)cc1
350
+ Cc1ccc(-c2nc(C(=O)N3CC=CC3)co2)cc1
351
+ Cc1ccc(-c2cc(C(=O)N3CC=CC3)on2)cc1
352
+ C[C@H](Cc1nc(-c2ccc(Br)cc2)no1)C1CCCCC1
353
+ Cc1nc(CC(=O)Nc2ccc(F)cc2C)cs1
354
+ O=C(Nc1ccc(Br)cc1)c1ccc(Br)c(Cl)c1
355
+ Clc1ccc([C@@H]2C[NH+](Cc3ccc(Br)cc3)CCO2)cc1
356
+ [NH3+][C@H](Cc1nc(-c2ccc(Br)cc2)no1)C1CCCCC1
357
+ Cc1cc(NC(=O)C[C@@H]([NH3+])c2ccccc2Br)n(C)n1
358
+ Cc1nc(C)c(CC(=O)Nc2ccc(Cl)cc2)s1
359
+ NC(=O)N1CCc2cnn(Cc3ccc(F)cc3)c2C1
360
+ Cc1ccc(S(=O)(=O)c2nc(Cc3ccccc3)no2)cc1
361
+ Cc1nc(C)c(CC(=O)Nc2ccc(F)cc2)s1
362
+ Cc1[nH]ncc1C(=O)NC[C@@H]1CCC[NH+](CC(F)(F)F)C1
363
+ O=C(NCC1CCCCC1)c1cc(-c2ccc(Cl)cc2Cl)[nH]n1
364
+ Fc1ccc(CNC2CN(Cc3cc(Cl)ccc3Cl)C2)cc1
365
+ Cn1cc(C(=O)NC[C@H]2CCCC[C@H]2F)c(-c2ccccc2)n1
366
+ Cc1cc(C(=O)NCC2CC(c3cccc(Br)c3)C2)n[nH]1
367
+ O=C(NC[C@@H]1CCCOC1)c1cc(-c2ccc(Cl)cc2Cl)[nH]n1
368
+ Fc1ccc(CNC2CN(Cc3ccc(Br)cc3F)C2)cc1
369
+ O=C(NCc1nnnn1-c1ccc(Cl)cc1Cl)[C@@H]1CCCCO1
370
+ O=C(NC1C[NH+](Cc2cnns2)C1)[C@@H]1CCCC(F)(F)C1
371
+ O=C1COc2cc(NC(=O)c3ccn(-c4ccccc4)n3)ccc2N1
372
+ Cn1cc(C[NH2+]C[C@@H]2CCCC[C@H]2c2ccc(F)cc2)nn1
373
+ Cc1ccc(CC(=O)N2CCN(Cc3nc4ccccc4[nH]3)CC2)cc1
374
+ Cc1cc(C(=O)NCC2CC(c3cccc(F)c3)C2)n[nH]1
375
+ Cc1cc(CNC(=O)C2(c3ccc(F)cc3)CCC2)n[nH]1
376
+ Fc1ccc([C@@H]2C[C@H]2[NH2+]Cc2noc(C3CCCC3)n2)cc1
377
+ Cn1cc(C[NH2+]C[C@H]2CCCC[C@H]2c2ccc(F)cc2)cn1
378
+ Cn1cc([C@H]2CCCC[C@H]2C[NH2+]Cc2ccc(F)cc2)cn1
379
+ Cn1cc(C[NH2+][C@H]2CCCC[C@H]2Cc2ccc(F)cc2)cn1
380
+ Cn1cc(C[NH2+]C[C@H]2CCCC[C@H]2c2cccc(F)c2)cn1
381
+ O=C(NC[C@@H]1CCCOC1)c1ccn(-c2ccc(Cl)cc2Cl)n1
382
+ C[NH+]1CC[C@]2(CCN(C(=O)c3ccn(-c4ccc(Cl)cc4)n3)C2)C1
383
+ C[NH+]1CCC[C@@H]2CN(C(=O)c3ccn(-c4ccc(Cl)cc4)n3)C[C@@H]21
384
+ C[NH+]1CC[C@@H]2CN(C(=O)c3ccn(-c4ccc(Cl)cc4)n3)C[C@@H]2C1
385
+ C[NH+]1CC[C@H]2CN(C(=O)c3csc(-c4ccc(Br)cc4)n3)C[C@H]2C1
386
+ C[NH+]1CC[C@@H]2CN(C(=O)c3csc(-c4ccc(Br)cc4)n3)C[C@H]2C1
387
+ C[NH+]1CC[C@H]2CN(C(=O)c3ccn(-c4ccc(Cl)cc4)n3)C[C@@H]2C1
388
+ C[NH+]1CC[C@@H]2CN(C(=O)c3ccn(-c4ccc(Cl)cc4)n3)C[C@H]2C1
389
+ O=C(Nc1ccn(-c2ccc(Cl)cc2)n1)[C@H]1CCCOC1
390
+ O=C(Nc1ccn(-c2ccc(Cl)cc2)n1)[C@H]1CCCCO1
391
+ Cn1cc(C(=O)N2CC[C@H]3CN(c4ccc(F)cc4)C[C@H]3C2)cn1
392
+ O=C(Nc1ccn(-c2ccc(Br)cc2)n1)[C@H]1CCCOC1
393
+ O=C(Nc1ccn(-c2ccc(Br)cc2)n1)[C@H]1CCCCO1
394
+ C[NH+]1CC[C@H]2CN(C(=O)c3ccn(-c4ccc(Cl)cc4)n3)C[C@H]2C1
395
+ O=C(Nc1ccn(-c2ccc(Br)cc2)n1)[C@@H]1CCCCO1
396
+ O=C(Nc1ccn(-c2ccc(Br)cc2)n1)[C@@H]1CCCOC1
397
+ O=C(N[C@@H]1CCCOC1)c1ccn(-c2ccc(Br)cc2)n1
398
+ O=C(Nc1ccn(-c2ccc(Cl)cc2)n1)[C@@H]1CCCCO1
399
+ O=C(Nc1ccn(-c2ccc(Cl)cc2)n1)[C@@H]1CCCOC1
400
+ O=C(N[C@@H]1CCCOC1)c1cnn(-c2ccc(Cl)cc2)c1
401
+ O=C(N[C@@H]1CCCSC1)c1ccn(-c2ccc(Br)cc2)n1
402
+ N=c1[nH]cc(Br)cc1C(=O)N1CCCC(Cl)C1
403
+ O=C(c1ccc(Br)c(Cl)c1)N1CCC=C(Cl)C1
404
+ O=C(c1cccc(Br)c1)N1CCCC=C(Cl)C1
405
+ CC1CN(C)CCN1C(=O)c1ccc(Cl)c(Cl)c1
406
+ CC1CN(C)CCC1C(=O)c1ccc(Cl)c(Cl)c1
407
+ O=C(c1ccc(F)cc1Cl)N1CCC=C(Cl)C1
408
+ C[C@@H]1C[NH+](C)CCN1C(=O)c1ccc(Br)cc1Br
409
+ C[C@H]1C[NH+](C)CCN1C(=O)c1ccc(Br)cc1Cl
410
+ C[C@H]1C[NH+](C)CCN1C(=O)c1ccc(Cl)cc1Br
411
+ C[C@H]1C[NH+](C)CCN1C(=O)c1cc(Br)ccc1Cl
412
+ C[C@H]1C[NH+](C)CCN1C(=O)c1ccc(Br)cc1Br
413
+ CC1CN(C(=O)c2ccc(Cl)c(Cl)c2)CCCN1
414
+ O=C(c1ccc(Cl)c(Br)c1)N1CCC=C(O)C1
415
+ O=C(c1ccc(Br)c(Cl)c1)N1CCC=C(O)C1
416
+ O=C(c1ccc(Cl)cc1Br)N1CCC=C(O)C1
417
+ O=C(c1ccc(Br)cc1Cl)N1CCC=C(O)C1
418
+ O=C(c1cc(Cl)ccc1Br)N1CCC=C(O)C1
419
+ C[C@H]1C[NH+](C)CCN1C(=O)c1ccc(Cl)cc1Cl
420
+ C[C@@H]1C[NH+](C)CCN1C(=O)c1ccc(Br)cc1Cl
421
+ C[C@@H]1C[NH+](C)CCN1C(=O)c1ccc(Cl)cc1Br
422
+ FC(F)(F)c1cc(-c2nccs2)ccc1Cl
423
+ FC(F)(F)c1ccc(-c2csnc2Cl)cc1
424
+ FC(F)(F)c1cc(-n2cccn2)ccc1Cl
425
+ FC(F)(F)c1ccc(-c2nc(Cl)cs2)cc1
426
+ FC(F)(F)c1csc(-c2ccc(Cl)cc2)n1
427
+ FC(F)(F)c1ccc(-c2csc(Cl)n2)cc1
428
+ FC(F)(F)c1ccc(-c2nccs2)c(Cl)c1
429
+ FC(F)(F)c1ncc(-c2ccc(Cl)cc2)s1
430
+ FC(F)(F)c1cnc(-c2ccc(Cl)cc2)s1
431
+ FC(F)(F)c1nc(-c2ccc(Cl)cc2)cs1
432
+ FC(F)(F)c1ccc(-c2ncc(Cl)s2)cc1
433
+ FC(F)(F)c1ccc(-c2cnc(Cl)s2)cc1
434
+ FC(F)(F)c1cc(-c2ncco2)ccc1Cl
435
+ FC(F)(F)c1cnc(-c2ccc(Cl)cc2)o1
436
+ FC(F)(F)c1ccc(-c2nc(Cl)co2)cc1
437
+ FC(F)(F)c1coc(-c2ccc(Cl)cc2)n1
438
+ FC(F)(F)c1ccc(-c2coc(Cl)n2)cc1
439
+ FC(F)(F)c1cc(-c2ccc(Cl)cc2)on1
440
+ FC(F)(F)c1ccc(Cl)c(-c2ncco2)c1
441
+ FC(F)(F)c1ccc(-c2cc(Cl)no2)cc1
442
+ CC[NH+]1CCC[C@@H](C(=O)Nc2cc(Cl)c(Br)cc2Cl)C1
443
+ Cc1cc(C(=O)N2CCN(c3ccn(C)n3)CC2)c(Cl)cc1Cl
444
+ Cc1cc(C(=O)N2CCN(c3ccc(Cl)cc3)CC2)ccc1Br
445
+ Cc1cc(C(=O)N2CCN(c3ccc(Br)cc3)CC2)ccc1Cl
446
+ Cc1ccc(C(=O)N2CCN(c3ccc(Cl)cc3)CC2)cc1Br
447
+ N#Cc1ccc(N2CCN(C(=O)c3ccc(Br)cc3Cl)CC2)cc1
448
+ N#Cc1ccc(N2CCN(C(=O)c3cc(Cl)ccc3Br)CC2)cc1
449
+ N#Cc1ccc(C(=O)N2CCCC(c3ccc(Br)cc3)CC2)cc1
450
+ Cc1ccc(C(=O)N2CCN(c3ccc(Br)cc3)CC2)cc1F
451
+ Cc1ccc(C(=O)N2CCN(c3ccc(F)cc3)CC2)cc1Br
452
+ Cc1cc(C(=O)N2CCN(c3ccc(F)cc3)CC2)ccc1Br
453
+ Cc1cc(C(=O)N2CCN(c3ccc(Br)cc3)CC2)ccc1F
454
+ Cc1ccc(C(=O)N2CCN(c3ccc(Cl)c(Cl)c3)CC2)cn1
455
+ Cc1ccc(N2CCN(C(=O)c3ccc(Cl)c(Br)c3)CC2)cc1
456
+ Cc1ccc2[nH]c(C3CCN(C(=O)c4ccccc4C)CC3)nc2c1
457
+ CC1(C)CC(C(=O)N2CCC(c3n[nH]c4ccccc34)CC2)C1
458
+ Cn1ccc(C(=O)N2CCN(c3ccc(F)c(F)c3F)CC2)n1
459
+ Cn1cc(C(=O)N2CCN(c3cc(F)c(F)cc3F)CC2)cn1
460
+ Cc1ccc(C(=O)N2CCN(c3ccc(Br)cc3)CC2)cc1C
461
+ CC[C@@H]1CCCN(C(=O)Nc2cc(F)c(Br)cc2Cl)C1
462
+ Cc1ccc(C(=O)N2C[C@@H]3C[C@H]2C[NH+]3Cc2ccc(Cl)cc2F)nn1
463
+ Fc1ccc(N2CCN(Cc3nnc(-c4ccc(Cl)cc4)o3)CC2)cc1
464
+ Fc1ccc(N2CCN(Cc3noc(-c4ccc(Cl)cc4)n3)CC2)cc1
465
+ Fc1ccc(CN2CCC(c3nc(-c4cccc(Cl)c4)no3)CC2)cc1
466
+ Cc1cc(C(=O)N2C[C@@H]3C[C@H]2C[NH+]3Cc2ccc(F)cc2F)n(C)n1
467
+ Cc1cc(C(=O)N2C[C@@H]3C[C@H]2C[NH+]3Cc2cccc(F)c2F)n(C)n1
468
+ Cc1ccc(C(=O)N2C[C@@H]3C[C@H]2C[NH+]3Cc2ccc(Cl)cc2F)cn1
469
+ Cc1cc(C(=O)N2C[C@@H]3C[C@H]2C[NH+]3Cc2ccc(F)cc2F)nn1C
470
+ Cc1ccc(NC(=O)c2ccc(N3CCC4(CCC4)C3)cc2)c(Cl)c1
471
+ Fc1ccc(-c2nnc(CN3CCN(c4ccc(F)cc4)CC3)o2)cc1
472
+ Fc1ccc(-c2noc(CN3CCN(c4ccc(F)cc4)CC3)n2)cc1
473
+ Fc1ccc(-c2nc(CN3CCN(c4ccc(F)cc4)CC3)no2)cc1
474
+ Cc1ccc(C(=O)N2C[C@@H]3C[C@H]2C[NH+]3Cc2ccc(F)cc2F)nn1
475
+ Cc1cnc(C(=O)N2C[C@@H]3C[C@H]2C[NH+]3Cc2ccc(F)cc2F)cn1
476
+ Cc1ccc(C(=O)N2C[C@@H]3C[C@H]2C[NH+]3Cc2cc(F)ccc2F)nn1
477
+ Cc1ccc(C(=O)N2C[C@@H]3C[C@H]2C[NH+]3Cc2cccc(F)c2F)nn1
478
+ Cc1cnc(C[NH+]2C[C@@H]3C[C@H]2CN3C(=O)c2ccc(F)cc2F)cn1
479
+ Cc1ccc(C[NH+]2C[C@@H]3C[C@H]2CN3C(=O)c2ccc(F)cc2F)nn1
480
+ Cc1ncc(C(=O)N2C[C@@H]3C[C@H]2C[NH+]3Cc2cccc(F)c2F)cn1
481
+ Cc1ncc(C[NH+]2C[C@@H]3C[C@H]2CN3C(=O)c2ccc(F)cc2F)cn1
482
+ Fc1ccc([C@H]2CCN(Cc3ccc(Br)cc3)C2)cc1
483
+ Cc1ccc(C(=O)N2CCc3cc(Br)c(F)cc3C2)cc1C
484
+ Fc1ccc(CN2CC[C@@H](c3ccc(Br)cc3)C2)cc1
485
+ Cc1ccc(C(=O)N2CCC[C@@H]2c2ccc(Br)cc2)nn1
486
+ Clc1ccc([C@H]2CCCN2Cc2ccc(Br)cc2)cc1
487
+ Cc1ccc(C(=O)N2CCc3cc(F)c(F)cc3C2)cc1Br
488
+ Cc1cc(Br)cc(C(=O)N2CC[C@@H](c3ccccc3)C2)c1
489
+ CCN1CCN(C(=O)c2ccc3cc(Br)ccc3c2)CC1
490
+ Cc1cc(C(=O)N2CCc3cc(Cl)c(Cl)cc3C2)ccc1F
491
+ Cc1ccc(C(=O)N2CCc3c(Cl)cc(Cl)cc3C2)cc1F
492
+ Cc1ccc(C(=O)N2CCc3cc(Cl)c(Cl)cc3C2)cc1F
493
+ Cc1ccc(C(=O)N2CCC[C@H]2c2ccccc2Br)cn1
494
+ CCC1CCN(C(=O)c2ccc3cc(Br)ccc3n2)CC1
495
+ Nc1ccc(C(=O)N2CCC(c3ccccc3Br)C2)cc1
496
+ Cc1ccc(C(=O)N2CC[C@H](c3ccccn3)C2)c(Br)c1
497
+ Cc1nc(C2CCN(C(=O)c3ccc(Cl)cc3)CC2)n[nH]1
498
+ Fc1ccc(O[C@@H]2CCN(c3ccc(Br)cc3)C2)cc1
499
+ Cc1cc(C(=O)N2CCc3cc(F)c(F)cc3C2)ccc1Cl
500
+ Cc1cc(C(=O)N2CCc3cc(F)c(Cl)cc3C2)ccc1F
501
+ Cc1ccc(C(=O)N2CCc3cc(F)c(F)cc3C2)cc1Cl
502
+ O=C(c1ccccc1F)c1cc(F)ccc1Cl
503
+ O=C(c1ccccc1F)c1cc(Cl)ccc1F
504
+ O=C(c1ccccc1Cl)c1cc(Cl)ccc1Br
505
+ Cc1ccccc1C(=O)c1cc(Cl)ccc1Br
506
+ O=C(Cc1cc(Cl)ccc1Br)c1ccccc1
507
+ O=C(Cc1cc(Br)ccc1Cl)c1ccccc1
508
+ O=C(c1ccc(Cl)cc1)c1cc(Br)ccc1F
509
+ O=C(c1ccc(F)cc1)c1cc(Br)ccc1Cl
510
+ O=C(c1ccc(Br)cc1)c1cc(Cl)ccc1F
511
+ N#C[C@H](c1ccc(F)cc1)c1ccc(Cl)cc1
512
+ Cc1cc(Br)ccc1C(=O)c1ccc(Cl)cc1
513
+ N[C@@H]1CCCN(C(=O)c2cc(Cl)ccc2Cl)C1
514
+ Clc1ccc(Cc2ccc(Cl)c(Cl)c2)cc1
515
+ Clc1ccc(Br)c(Cn2ccc3ccccc32)c1
516
+ OC(Cc1ccsc1)=NCc1ccc(Br)cc1
517
+ OC(Cc1ccccc1)=NCc1ccc(Br)s1
518
+ OC(Cc1cccs1)=NCc1ccc(Br)cc1
519
+ OC(Cc1ccc(Br)s1)=NCc1ccccc1
520
+ OC(Cc1ccc(Br)cc1)=NCc1cccs1
521
+ OC(Cc1ncc(Br)s1)=NCc1ccccc1
522
+ N#Cc1ccc(C(=O)N2CCN(Cc3ccc(Br)cc3Cl)CC2)cc1
523
+ N#Cc1ccc(CN2CCN(C(=O)c3ccc(Cl)cc3Br)CC2)cc1
524
+ N#Cc1ccc(CN2CCN(C(=O)c3ccc(Br)cc3Cl)CC2)cc1
525
+ N#Cc1ccc(NC(=O)N2CCN(c3ccc(Br)cc3Cl)CC2)cc1
526
+ N#Cc1cccc(NC(=O)N2CCN(c3ccc(Cl)cc3Br)CC2)c1
527
+ N#Cc1ccc(NC(=O)N2CCN(c3ccc(Cl)cc3Br)CC2)cc1
528
+ N#Cc1ccc(NC(=O)N2CCCC[C@@H]2c2ccc(F)cc2Br)cc1
529
+ CCc1cc(C(=O)N2CCN(c3ccc(F)c(Cl)c3)CC2)nn1C
530
+ COc1ccc(N2CCN(C(=O)c3cc4ccccc4[nH]3)CC2)cc1Cl
531
+ COc1ccc(C(=O)N2CCC(c3nc4ccccc4[nH]3)CC2)cc1F
532
+ COc1cc(C(=O)N2CCC(c3nc4ccccc4[nH]3)CC2)ccc1F
533
+ CC[NH+]1CCN(C(=O)c2cc(C)n(-c3ccc(Cl)c(F)c3)n2)CC1
534
+ N#Cc1ccc(NC(=O)N2CCCC[C@@H]2c2ccc(F)cc2Cl)cc1
535
+ CC[NH+]1CCC[C@@H](C(=O)Nc2cc(-c3nn[n-]n3)ccc2F)C1
536
+ COc1cc(N2CCN(C(=O)c3n[nH]c4ccccc34)CC2)ccc1F
537
+ COc1ccc(N2CCN(C(=O)c3ccc4nccn4c3)CC2)cc1F
538
+ N#Cc1ccc(CC2CCCCN2C(=O)c2ccc(Br)cc2Cl)cc1
539
+ COc1ccc(N2CCN(C(=O)c3cc4ccccc4[nH]3)CC2)cc1F
540
+ COc1ccc(N2CCN(C(=O)c3c[nH]c4ccccc34)CC2)cc1F
541
+ COc1ccc(N2CCN(C(=O)c3ccc4[nH]ccc4c3)CC2)cc1F
542
+ CC(Br)C(=O)N1CCN(c2cccc3ccccc23)CC1
543
+ Cc1ccc(C(=O)N2CCc3ccc(F)cc3C2)c(Cl)c1
544
+ Clc1ccc(-c2noc([C@H]3CC[C@H]4CCCC[NH+]4C3)n2)cc1
545
+ Cc1ccc(C(O)=NC2CCN(c3cccc4ccccc34)CC2)cn1
546
+ Cc1ccc(N=C(O)N2CCC(c3cccc4ccccc34)CC2)cn1
547
+ [NH3+][C@@H]1CCN(C(=O)c2ccc(Cl)nc2)CC12CCC2
548
+ C[C@@H]1CN(C(=O)c2ccc(Br)c(F)c2)CCC[NH+]1C
549
+ Clc1ccc(NCc2ccc(Br)cc2)c(Cl)c1
550
+ [NH3+][C@H]1CCN(C(=O)c2ccc(Cl)cn2)CC12CCC2
551
+ [NH3+][C@H]1CCN(C(=O)c2cccc(Cl)n2)CC12CCC2
552
+ [NH3+][C@H]1CCN(C(=O)c2ccc(Cl)nc2)CC12CCC2
553
+ Cn1ncc(N2CCN(c3cccc4ccccc34)CC2)n1
554
+ CC1=C(F)CN(C(=O)c2cccc3ccccc23)CC1
555
+ Cc1ccc(N=C(O)N2CCN(c3cccc4ccccc34)CC2)cn1
556
+ O=C(Nc1ccc(Cl)cc1)c1cc(Br)c[nH]1
557
+ Brc1ccc(-c2noc(-c3cccc4ccccc34)n2)nc1
558
+ Brc1ccc(-c2noc(-c3cccc4ccccc34)n2)cn1
559
+ Cc1cc2c(=O)nc(Cc3ccc(Cl)cc3)[nH]c2s1
560
+ Clc1ccc(OCc2ccc(Br)cc2)c(Cl)c1
561
+ NS(=O)(=O)[C@@H]1CCC[NH+](Cc2ccc(Cl)cc2)C1
562
+ CC(C)[C@@H](C(=O)Nc1ccc(Br)c(Cl)n1)[NH+](C)C
563
+ CC(C)[C@@H](C(=O)Nc1cnc(Br)c(F)c1)[NH+](C)C
564
+ CC(C)[C@@H](C(=O)Nc1c(Br)ccnc1Cl)[NH+](C)C
565
+ CC(C)[C@@H](C(=O)Nc1ccc(Cl)c(Cl)c1)[NH+](C)C
566
+ CCSc1nnc(-c2ccc(Cl)cc2Cl)n1CC
567
+ CC(C)[C@@H](C(=O)Nc1ccc(Br)c(Br)n1)[NH+](C)C
568
+ Cc1ccc(NC(=O)[C@H]2CCc3cn[nH]c3C2)cc1Br
569
+ CC(C)[C@@H](C(=O)Nc1cc(Cl)ccc1Cl)[NH+](C)C
570
+ Cc1ccc(NC(=O)c2ccc3n[nH]nc3c2)cc1Br
571
+ Cc1ccc(C(=O)N2CCN(c3ccccc3)CC2)c(Br)c1
572
+ Cn1ncc(Nc2ccc(Br)c(Cl)c2)c1C(=O)O
573
+ CC(C)[C@@H](C(=O)Nc1ccc(Br)c(Cl)c1)[NH+](C)C
574
+ CC(C)[C@@H](C(=O)Nc1ccc(Cl)c(Br)c1)[NH+](C)C
575
+ CC(C)[C@@H](C(=O)Nc1cc(Cl)cc(Br)c1)[NH+](C)C
576
+ CC(C)[C@H](C(=O)Nc1ccc(Br)c(Cl)n1)[NH+](C)C
577
+ Cc1ccc(C(=O)Nc2cccc3[nH]ncc23)cc1Br
578
+ CC(C)[C@H](C(=O)Nc1ccc(Cl)c(Cl)c1)[NH+](C)C
579
+ CCSc1nnc(-c2ccc(Br)cc2F)n1CC
580
+ CC(C)[C@H](C(=O)Nc1ccc(Br)cc1Br)[NH+](C)C
581
+ CC(C)[C@H](C(=O)Nc1cc(Br)ccc1Br)[NH+](C)C
582
+ Fc1ccc(-c2noc(C[NH+]3C[C@H]4CCCC[C@H]4C3)n2)cc1
583
+ Clc1ccc(N2CCN(Cc3ccc(Cl)cc3Cl)CC2)cc1
584
+ Fc1ccc(CN2CCN(c3ccc(Cl)cc3)CC2)c(Br)c1
585
+ Fc1ccc(N2CCN(Cc3ccc(Br)cc3)CC2)c(Cl)c1
586
+ Clc1ccc(C[NH+]2CCN(c3ccc(Cl)cc3Cl)CC2)nc1
587
+ Fc1ccc(N2CCN(Cc3ccc(Cl)cc3Br)CC2)cc1
588
+ Fc1ccc(N2CCN(Cc3ccc(Br)cc3Cl)CC2)cc1
589
+ Cc1ccc2nc(CC(=O)Nc3ccc(Br)cc3)[nH]c2c1
590
+ Fc1ccc(C[NH+]2CCN(c3ccc(Cl)cn3)CC2)c(Cl)c1
591
+ Cc1ccn(C2CCN(C(=O)c3ccc(Cl)cn3)CC2)n1
592
+ Cc1nc(C2CCN(C(=O)c3ccc(Cl)cc3)CC2)n[nH]1
593
+ Clc1ccc(N2CC[NH+](Cc3ccc(Cl)cc3Cl)CC2)cc1
594
+ C[NH+]1CC[C@@]2(CCCN(C(=O)c3ccc4ccc(F)cc4n3)C2)C1
595
+ Fc1ccc(CN2CCN(c3ccc(Cl)cc3)CC2)c(Cl)c1
596
+ Fc1ccc(N2CCN(Cc3ccc(Cl)cc3)CC2)c(Cl)c1
597
+ Fc1ccc(C[NH+]2CCN(c3ccc(Cl)cn3)CC2)c(F)c1
598
+ Fc1ccc(-c2noc(C[NH+]3CC[NH+]4CCC[C@H]4C3)n2)cc1
599
+ C[NH+]1CC[C@]2(CCCN(C(=O)c3ccc4cc(F)ccc4n3)C2)C1
600
+ Fc1ccc(N2CCN(Cc3ccc(Br)cc3F)CC2)cc1
601
+ Fc1ccc(N2CCN(Cc3ccc(F)cc3Br)CC2)cc1
602
+ C[NH+]1CCC[C@H](C(=O)Nc2ccc(Br)cc2Br)C1
603
+ C[NH+]1CCC[C@H](NC(=O)c2cc(Br)ccc2Br)C1
604
+ C[NH+]1CCC[C@H](C(=O)Nc2cc(Br)ccc2Br)C1
605
+ C[NH+]1CCC[C@H](C(=O)Nc2ccc(Br)c(Br)c2)C1
606
+ C[NH+]1CCC[C@H](NC(=O)c2ccc(Br)c(Br)c2)C1
607
+ C[NH+]1CCC[C@@H](C(=O)Nc2ccc(Br)c(Br)c2)C1
608
+ C[NH+]1CCC[C@@H](NC(=O)c2ccc(Br)c(Br)c2)C1
609
+ C[C@H]1C[C@@H](NC(=O)c2cc(Br)ccc2Br)CC[NH2+]1
610
+ C[NH+]1CCC[C@@H](C(=O)Nc2ccc(Br)cc2Br)C1
611
+ C[NH+]1CCC[C@@H](C(=O)Nc2cccc(Br)c2Br)C1
612
+ C[NH+]1CCC[C@@H](C(=O)Nc2cc(Br)ccc2Br)C1
613
+ C[C@@H]1C[C@@H](C(=O)Nc2ccc(Br)c(Br)c2)CC[NH2+]1
614
+ [NH3+][C@H]1CCC[C@H](C(=O)Nc2ccc(Br)cc2Br)C1
615
+ C[C@H]1C[C@H](NC(=O)c2cc(Br)ccc2F)CC[NH2+]1
616
+ C[C@H]1C[C@H](NC(=O)c2ccc(Br)c(F)c2)CC[NH2+]1
617
+ C[C@H]1C[C@H](C(=O)Nc2ccc(Br)c(F)c2)CC[NH2+]1
618
+ C[C@H]1C[C@H](NC(=O)c2ccc(F)c(Br)c2)CC[NH2+]1
619
+ C[C@@H]1CCCN(C(=O)Nc2ccc(Br)c(Cl)c2)C1
620
+ C[C@@H]1CCCN(C(=O)Nc2ccc(Cl)c(Br)c2)C1
621
+ [NH3+][C@@H]1CCC[C@H](NC(=O)c2ccc(Br)c(Br)c2)C1
622
+ Cc1ccc(S(=O)(=O)N[C@@H](C)c2cc(Br)ccc2Cl)cc1
623
+ Cc1ccc(S(=O)(=O)N[C@@H](C)c2cc(Cl)ccc2Br)cc1
624
+ Cc1ccc(S(=O)(=O)N[C@@H](C)c2cc(Cl)ccc2F)cc1
625
+ Cc1ccc(S(=O)(=O)N[C@@H](C)c2cc(F)ccc2Cl)cc1
626
+ Cc1ccc(S(=O)(=O)N[C@@H](C)c2c(F)cccc2Cl)cc1
627
+ Cc1ccc(Cl)c([C@@H](C)NS(=O)(=O)c2ccc(F)cc2)c1
628
+ Cc1ccc(F)c([C@@H](C)NS(=O)(=O)c2ccc(Cl)cc2)c1
629
+ C[C@@H](NS(=O)(=O)c1ccc(Br)cc1)c1cc(Cl)ccc1F
630
+ C[C@@H](NS(=O)(=O)c1ccc(F)cc1)c1cc(Cl)ccc1Br
631
+ C[C@@H](NS(=O)(=O)c1ccc(Cl)cc1)c1cc(Br)ccc1F
632
+ C[C@@H](NS(=O)(=O)c1ccc(F)cc1)c1cc(Br)ccc1Cl
633
+ C[C@@H](NS(=O)(=O)c1ccc(Br)cc1)c1cc(F)ccc1Cl
634
+ C[C@@H](NS(=O)(=O)c1ccc(Cl)cc1)c1cc(F)ccc1Br
635
+ C[C@@H](NS(=O)(=O)c1ccc(Br)cc1)c1cc(Cl)ccc1Cl
636
+ Cc1ccc(S(=O)(=O)N[C@@H](C)c2cc(Br)ccc2F)cc1
637
+ Cc1ccc(S(=O)(=O)N[C@@H](C)c2cc(F)ccc2Br)cc1
638
+ O=C(NCc1cc(Br)ccc1Cl)c1ccc(Br)cn1
639
+ O=C(NCc1cc(Cl)ccc1F)c1ccc(Br)cn1
640
+ O=C(NCc1cc(Br)ccc1F)c1ccc(Cl)cn1
641
+ O=C(NCc1cc(Br)ccc1Cl)c1ccc(F)cn1
642
+ Cc1[nH]c(-c2noc(Cc3ccc(Br)cc3)n2)c[nH+]1
643
+ Cc1nc(SCC(=O)c2ccc(Cl)cc2)n(C)n1
644
+ Cc1cc(-c2nc(Cc3ccc(Br)cc3)no2)n[nH]1
645
+ [S-]c1nnc(C2CCCC2)n1Cc1ccc(Br)cc1
646
+ C[C@@H]1CCCCC[NH+]1Cc1nnnn1-c1ccc(Cl)cc1
647
+ Fc1ccc(Cc2nc(-c3ccc(Br)s3)no2)cc1
648
+ Fc1ccc(Cc2noc(-c3ccc(Br)s3)n2)cc1
649
+ Fc1ccc(C2CCC(Nc3ncccc3Br)CC2)cc1
650
+ Clc1ccc(Cc2noc(-c3ccc(Br)s3)n2)cc1
651
+ Clc1ccc(Cc2nc(-c3ccc(Br)s3)no2)cc1
652
+ Clc1ccc(-c2noc(Cc3ccc(Br)cc3)n2)s1
653
+ Sc1nnc(C2CCCC2)n1Cc1ccc(Br)cc1
654
+ Cc1ncc(C[NH+]2CC[C@H](c3ccc(Br)cc3)C2)[nH]1
655
+ O=C(Cc1ccc(Br)cc1)Nc1ccc(Cl)nn1
656
+ O=C(Nc1ccc(Br)cc1)c1ccc(Br)c(Cl)c1
657
+ O=C(Nc1ccc(Cl)c(Br)c1)c1ccc(Br)cc1
658
+ O=C(Nc1ccc(Br)c(Cl)c1)c1ccc(Br)cc1
659
+ O=C(Nc1ccc(Br)c(Br)c1)c1ccc(Cl)cc1
660
+ Cn1cc(C[NH+]2CC[C@H](c3ccc(Br)cc3)C2)cn1
661
+ Clc1ccc(CSc2nc3ccc(Br)cc3[nH]2)cc1
662
+ Cc1ccn(Cc2cc(Cl)c(Cl)cc2Cl)n1
663
+ CC(C)(N)C(O)=NC(C)(C)c1ccc(Cl)cc1Cl
664
+ CC(C)(C)C(O)=NC(C)(C)c1ccc(Cl)cc1Cl
665
+ Cc1n[nH]c(Cc2c(F)cc(Br)cc2F)n1
666
+ CC(N=C(O)c1ccc(Br)nc1)c1ccc(Cl)cc1Cl
667
+ CC(C(O)=Nc1ccc(Br)cn1)c1ccc(Cl)cc1Cl
668
+ CC(C)(CC(F)(F)F)C(=O)c1ccc(Br)cc1Cl
669
+ CC(C)(C)CC(C)(C)C(=O)c1ccc(Cl)cc1Cl
670
+ O=C(O)c1ccc(Br)cc1Cl
671
+ Cc1ncsc1C(O)=NC(C)(C)c1ccc(Br)cc1Cl
672
+ CC1CCCC(N=C(O)C(N)c2ccc(Cl)cc2Cl)C1
673
+ CC(C)(N=C(O)C1CCNCC1)c1ccc(Cl)cc1Cl
674
+ CC(N=C(O)C1CCN(C)CC1)c1ccc(Cl)cc1Cl
675
+ CC(C)(N=C(O)C1CCCNC1)c1ccc(Cl)cc1Cl
676
+ CC1CCCN1C(O)=NC(C)(C)c1ccc(Cl)cc1Cl
677
+ CC(C)(N=C(O)C1CCCCN1)c1ccc(Cl)cc1Cl
678
+ Cc1ccc(C(=O)C2CN(C)c3ccccc32)c(Br)c1
679
+ O=C(O)c1cc(C(F)(F)F)c(Cl)cc1Cl
680
+ CC(C)(N=C(O)C(F)(F)F)c1ccc(Br)cc1Cl
681
+ CC(N=C(O)N1CCN(C)CC1)c1ccc(Cl)cc1Cl
682
+ Cc1nc2cc(C(=O)N[C@H]3CCN(c4ccccc4)C3=O)sc2[nH]1
683
+ Cc1cc2cc(C(=O)N[C@H]3CCN(c4ccccc4)C3=O)[nH]c2[nH]1
684
+ Cc1cc2cc(C(=O)N[C@@H]3CCN(c4ccccc4)C3=O)[nH]c2o1
685
+ Cc1cc2cc(C(=O)N[C@@H]3CCN(c4ccccc4)C3=O)oc2[nH]1
686
+ Cc1cc2cc(C(=O)N[C@H]3CCN(c4ccccc4)C3=O)sc2[nH]1
687
+ CC(C)(C(N)=O)c1ccc(Br)cc1
688
+ O=C(NC1CCCCC1)C(O)=Nc1cc(Cl)ccc1Cl
689
+ Cc1ccc(N2C(=O)C(SCC(O)=Nc3ccccc3)C2=O)cc1
690
+ O=C(CC[NH+]1CCCCC1)Nc1cccnc1Br
691
+ Cc1cc2cc(C(=O)N[C@H]3CCN(c4ccccc4)C3=O)[nH]c2o1
692
+ Cc1cc2cc(C(=O)N[C@H]3CCN(c4ccccc4)C3=O)oc2[nH]1
693
+ Cc1ccc(NC(=O)N[C@H]2CCN(c3ccccc3)C2=O)cc1
694
+ Cc1cccc(NC(=O)N[C@H]2CCN(c3ccccc3)C2=O)c1
695
+ Cc1cccc(NC(=O)N[C@@H]2CCN(c3ccccc3)C2=O)c1
696
+ COc1ccc(N2C(=O)CN=C(O)C(c3ccccc3)C2=O)cc1
697
+ Cc1ccnc(NC(=O)N[C@@H]2CCN(c3ccccc3)C2=O)c1
698
+ NC(=O)c1ccc(Br)cn1
699
+ O=C(Cc1ccc(Cl)s1)NC1CCCCC1
700
+ Cc1nc2cc(C(=O)N[C@H]3CCN(c4ccccc4)C3=O)sc2s1
701
+ Cc1ccc(CC=O)cc1
702
+ Clc1ccc(CN2CCN3CCCC3C2)c(Br)c1
703
+ CC1CN(Cc2ccc(Cl)c(F)c2)CCN1
704
+ CN1CCN(Cc2ccc(F)c(Cl)c2)CC1
705
+ CN1CCN(Cc2ccc(Cl)c(F)c2)CC1
706
+ CC1CN(Cc2ccc(Cl)cn2)CC(C)N1
707
+ CC1(C)CN(Cc2ccc(Cl)cc2)CC1N
708
+ CC1CN(Cc2ccc(Cl)cc2)CC(C)N1
709
+ CC1(C)CN(Cc2ccc(Cl)cc2)CCN1
710
+ CC1(N)CCN(Cc2ccc(Cl)cc2)CC1
711
+ CN1CCCN(C(=O)c2ccc(Cl)cc2)CC1
712
+ NC1CCCCN(C(=O)c2ccc(Cl)cc2)C1
713
+ CC1CNCCN(C(=O)c2ccc(Cl)cc2)C1
714
+ CN1CCN(Cc2ccc(N)c(Cl)c2)CC1
715
+ CN1CCN(Cc2ccc(Cl)c(N)c2)CC1
716
+ FC1(F)CCN(Cc2ccc(Br)cc2)CC1
717
+ C[C@H]1CCN(Cc2ccc(Br)cc2)C1=O
718
+ CC1CN(C(=O)c2ccc(Cl)cc2)CC(C)N1
719
+ Brc1ccc(CN2CCC3(CCC3)C2)cc1
720
+ Brc1ccc(CN2CCC(C3CC3)C2)cc1
721
+ Brc1ccc(CN2CCC3(CC2)CC3)cc1
722
+ O=C(c1ccc(Br)cc1Br)N1CCC[C@@H](F)C1
723
+ O=C(c1ccc(Cl)cc1Br)N1CCCC(Cl)C1
724
+ Cc1cc(Br)ccc1C(=O)N1CCC[C@H](Br)C1
725
+ Cc1cc(Cl)c(C(=O)N2CCCN(C)CC2)s1
726
+ N[C@@H]1CCCN(C(=O)c2ccc(Br)cc2Cl)C1
727
+ N[C@@H]1CCCN(C(=O)c2ccc(Cl)cc2Br)C1
728
+ N[C@H]1CCCN(C(=O)c2ccc(Cl)cc2Br)C1
729
+ N[C@H]1CCCN(C(=O)c2ccc(Br)cc2Cl)C1
730
+ N[C@H]1CCCN(C(=O)c2cc(Br)ccc2Cl)C1
731
+ [NH3+][C@H]1CCCN(C(=O)c2ccc(Br)cc2Br)C1
732
+ C[C@H]1CCCN(C(=O)c2ccc(Br)cc2Br)C1
733
+ C[C@H]1CCCN(C(=O)c2cc(Br)ccc2Br)C1
734
+ C[C@@H]1CCCN(C(=O)c2ccc(Cl)cc2Br)C1
735
+ C[C@@H]1CCCN(C(=O)c2ccc(Br)cc2Cl)C1
736
+ C[C@@H]1CCCN(C(=O)c2cc(Br)ccc2Cl)C1
737
+ C[C@H]1CCCN(C(=O)c2ccc(Br)cc2Cl)C1
738
+ C[C@H]1CCCN(C(=O)c2ccc(Cl)cc2Br)C1
739
+ C[C@H]1CCCN(C(=O)c2cc(Cl)ccc2Br)C1
740
+ C[NH+]1CCCN(C(=O)c2cc(Br)sc2Cl)CC1
741
+ O=C(c1ccc(Br)cc1F)N1CCC[C@H](F)C1
742
+ Fc1ccc([C@H]2CCCN(Cc3nnc4n3CCCC4)CC2)cc1
743
+ Brc1ccc(CN2CCN(c3ncnc4c3CCCC4)CC2)cc1
744
+ Fc1ccc(CN2CCN(c3ncnc4c3CCCC4)CC2)cc1
745
+ Brc1ccc(N2CCN(Cc3nnc4n3CCCCC4)CC2)cc1
746
+ Fc1ccc(N2CCN(Cc3nnc4n3CCCCC4)CC2)cc1
747
+ Clc1ccc(CN2CCN(c3ncnc4c3CCCC4)CC2)cc1
748
+ O=C(N1CCC[C@@H](Cc2c(Cl)cccc2Cl)C1)C(F)(F)F
749
+ O=C(N1CCC[C@H](Cc2c(Cl)cccc2Cl)C1)C(F)(F)F
750
+ Clc1ccc(N2CCN(Cc3nnc4n3CCCCC4)CC2)cc1
751
+ Fc1ccc(N2CC[NH+](Cc3cnc4ccccn34)CC2)c(F)c1
752
+ Clc1ccc(N2CCN(Cc3cccc4c3CCCN4)CC2)cc1
753
+ O=C1Cc2cc(C(=O)Nc3ccc(Br)cc3)ccc2N1
754
+ O=C(N1CCC[C@@H](Cc2c(F)cccc2Cl)C1)C(F)(F)F
755
+ Fc1cc(Br)cc(N2CC[NH+](Cc3ccc(Cl)cc3)CC2)c1
756
+ Fc1ccc(CN2CCN(c3ccc(Br)cc3)CC2)cc1F
757
+ Cn1ncc(Cl)c1C(=O)NCc1ccc(Br)cc1
758
+ Nc1ccc(N2CCN(Cc3nnc4n3CCCCC4)CC2)cc1
759
+ Brc1ccc(C[NH+]2CCC([NH+]3CCC[C@@H]4CCCC[C@H]43)CC2)cc1
760
+ Brc1ccc(C[NH+]2CCC([NH+]3CCC[C@H]4CCCC[C@@H]43)CC2)cc1
761
+ Brc1ccc(N2CC[NH+](Cc3nnc4n3CCCCC4)CC2)cc1
762
+ CC(N=C(O)c1ccc(Br)nc1)c1ccc(Cl)c(Cl)c1
763
+ CC(N=C(O)c1ccc(Cl)nc1)c1ccc(Br)c(Cl)c1
764
+ CC(N=C(O)c1ccc(Br)cn1)c1ccc(Cl)c(Cl)c1
765
+ CC(N=C(O)c1ccc(Cl)nc1)c1ccc(Cl)c(Br)c1
766
+ CC(N=C(O)c1cncc(Br)c1)c1ccc(Cl)c(Cl)c1
767
+ Cc1nc(C)c(C(O)=NC(C)c2ccc(Cl)c(F)c2)s1
768
+ Cc1c(C(O)=NC(C)c2ccc(F)c(Cl)c2)cnn1C
769
+ Cc1c(C(O)=NC(C)c2ccc(Cl)c(F)c2)cnn1C
770
+ Cc1c(C(O)=NC(C)c2ccc(Cl)c(Cl)c2)cnn1C
771
+ Cc1nc(C)c(C(O)=NC(C)c2ccc(Cl)c(Cl)c2)s1
772
+ CC(N=C(O)c1cccc(Br)c1)c1ccc(Cl)c(Br)c1
773
+ CC(N=C(O)c1ccc(Cl)cc1)c1ccc(Br)c(Br)c1
774
+ CC(N=C(O)c1ccc(Br)cc1)c1ccc(Cl)c(Br)c1
775
+ CC(N=C(O)c1ccc(Br)cc1)c1ccc(Br)c(Cl)c1
776
+ CC(N=C(O)c1cccc(Br)c1)c1ccc(Br)c(Cl)c1
777
+ O=C(CCN=C(O)C(F)(F)F)c1ccc(Cl)c(Cl)c1
778
+ CC(N=C(O)c1ccc(Cl)nc1)c1ccc(F)c(Br)c1
779
+ CC(N=C(O)c1ccc(Cl)nc1)c1ccc(Br)c(F)c1
780
+ CC(N=C(O)c1ccc(Br)nc1)c1ccc(F)c(Cl)c1
781
+ CC(N=C(O)c1ccc(Br)nc1)c1ccc(Cl)c(F)c1
782
+ O=C(C[NH+]1CC[C@H](F)C1)Nc1ccc(Br)c(Br)c1
783
+ O=C(C[NH+]1CC[C@@H](F)C1)Nc1ccc(Br)c(Br)c1
784
+ O=C(C[NH+]1CC[C@H](O)C1)Nc1ccc(Br)c(Cl)c1
785
+ O=C(C[NH+]1CC[C@H](O)C1)Nc1ccc(Cl)c(Br)c1
786
+ O=C(C[NH+]1CC[C@H](F)C1)Nc1ccc(Br)c(Cl)c1
787
+ O=C(C[NH+]1CC[C@H](F)C1)Nc1ccc(Cl)c(Br)c1
788
+ C[NH+]1CCC[C@H]1CC(=O)Nc1ccc(Br)c(Br)c1
789
+ C[C@H]1CCC[NH+]1CC(=O)Nc1ccc(Br)c(Br)c1
790
+ O=C(C[NH+]1CC[C@H](O)C1)Nc1ccc(Cl)c(Cl)c1
791
+ O=C(C[NH+]1CC[C@@H](F)C1)Nc1ccc(Cl)c(Br)c1
792
+ O=C(C[NH+]1CC[C@@H](F)C1)Nc1ccc(Br)c(Cl)c1
793
+ O=C(C[NH+]1CC[C@H](O)C1)Nc1ccc(Br)c(Br)c1
794
+ C[C@@H]1CCC[NH+]1CC(=O)Nc1ccc(Br)c(Br)c1
795
+ C[NH+]1CCC[C@@H]1CC(=O)Nc1ccc(Br)c(Br)c1
796
+ C[C@H]1CCC[NH+]1CC(=O)Nc1ccc(Br)c(Cl)c1
797
+ C[NH+]1CCC[C@H]1CC(=O)Nc1ccc(Cl)c(Br)c1
798
+ C[NH+]1CCC[C@H]1CC(=O)Nc1ccc(Br)c(Cl)c1
799
+ C[C@H]1CCC[NH+]1CC(=O)Nc1ccc(Cl)c(Br)c1
800
+ C[C@H]1CCC[NH+]1CC(=O)Nc1cc(Cl)cc(Br)c1
801
+ O=C(C[NH+]1CC[C@@H](O)C1)Nc1ccc(Cl)c(Cl)c1
802
+ Cc1nnc(C2CCN(S(=O)(=O)c3ccc(Cl)cc3)CC2)s1
803
+ O=C([O-])C1CC[NH+](Cc2c[nH]c3cccc(F)c23)CC1
804
+ Fc1ccc(CN2CCN(c3nc4ccccc4s3)CC2)cc1
805
+ CC1(F)CCN(C(=O)c2ccc(-n3cccn3)cc2)C1
806
+ Cc1ccc(F)c(S(=O)(=O)N2CCN(c3ccccc3F)CC2)c1
807
+ Cc1ccc(N2CCN(S(=O)(=O)c3cc(F)ccc3F)CC2)cc1
808
+ Cc1ccc(N2CCN(S(=O)(=O)c3cc(Cl)ccc3C)CC2)cc1
809
+ Cc1ccc(N2CCN(C(=O)c3ccccc3Br)CC2)cc1
810
+ Cc1nc(C2CCN(S(=O)(=O)c3ccc(Br)cc3)CC2)n[nH]1
811
+ Clc1ccc(N2CCN(Cc3ccc(Br)cc3)CC2)nc1
812
+ Clc1ccc(CN2CCN(c3ccc(Br)cc3)CC2)cc1
813
+ Clc1ccc(N2CCN(Cc3ccc(Br)cc3)CC2)cc1
814
+ Clc1cccc(N2CCN(Cc3ccc(Br)cc3)CC2)c1
815
+ Cc1nc(C2CCN(S(=O)(=O)c3ccc(Cl)cc3)CC2)n[nH]1
816
+ Clc1ccc([C@@H]2CCC[NH+](Cc3ccc(Cl)cn3)C2)cc1
817
+ Clc1ccc(N2CC[NH+](Cc3ccc(Br)cn3)CC2)nc1
818
+ Clc1ccc(C[NH+]2CCN(c3ccc(Br)cn3)CC2)nc1
819
+ Cc1ccc(C(=O)N2CCC(c3ccc(Cl)cc3)CC2)cn1
820
+ Fc1ccc(N2CCN(Cc3ccc(Cl)cc3)CC2)nc1
821
+ Fc1ccc(CN2CCN(c3ccc(Cl)cn3)CC2)cc1
822
+ Cn1cc(NC2CCN(C(=O)c3ccc(Cl)c(F)c3)CC2)cn1
823
+ Cn1cc(C2CCN(C(=O)Nc3ccc(F)c(Cl)c3)CC2)cn1
824
+ Cn1ccc(C(=O)NC2CCN(c3ccc(Cl)c(F)c3)CC2)n1
825
+ Cn1ccc(C(=O)NC2CCN(c3ccc(F)c(Cl)c3)CC2)n1
826
+ Cn1ccc(C2CCN(C(=O)Nc3ccc(Cl)c(F)c3)CC2)n1
827
+ Cn1cc(C(=O)NC2CCN(c3ccc(F)c(Cl)c3)CC2)cn1
828
+ Cn1cc(C2CCN(C(=O)Nc3ccc(Cl)c(F)c3)CC2)cn1
829
+ Cn1cc(NC(=O)N2CCC(c3ccc(F)c(Cl)c3)CC2)cn1
830
+ Cn1ccc(C(=O)NC2CCCN(c3ccc(F)c(Cl)c3)C2)n1
831
+ Cn1cc(C(=O)N2CCC(Nc3ccc(F)c(Cl)c3)CC2)cn1
832
+ Cn1cc(CN2CCN(C(=O)c3ccc(F)c(Cl)c3)CC2)cn1
833
+ Cn1ccc(C(=O)N2CCC(Cc3ccc(F)c(Cl)c3)CC2)n1
834
+ Cn1ccc(C(=O)N2CCC(Cc3ccc(Cl)c(F)c3)CC2)n1
835
+ Cn1cc(C(=O)NC2CCN(c3ccc(Cl)c(Cl)c3)CC2)cn1
836
+ Cn1cc(N2CCC(NC(=O)c3ccc(Cl)c(Cl)c3)CC2)cn1
837
+ Cn1ccc(C(=O)NC2CCN(c3ccc(Cl)c(Cl)c3)CC2)n1
838
+ [NH3+][C@@H]1CCC[C@H](NC(=O)c2csc(-c3ccc(F)c(F)c3)n2)C1
839
+ C[C@@H]1CCC[C@H](NC(=O)c2csc(-c3ccc(Cl)c(Cl)c3)n2)C1
840
+ Cc1nc(CC2CCN(C(=O)c3ccc(Cl)c(Cl)c3)CC2)n[nH]1
841
+ Cn1ccc(C(=O)N[C@H]2CCCN(c3ccc(Cl)c(Cl)c3)C2)n1
842
+ Cc1nnc(N=C(O)CCC(C)c2ccc(Cl)cc2)s1
843
+ CC(C)CN=C(O)N=C(O)Cc1ccc(Cl)c(Cl)c1
844
+ CC(CC#N)n1cnnc1-c1ccc(F)cc1
845
+ C[C@H]1CCCN(C(=O)c2ccc(Br)cc2Br)C1
846
+ CC(CC(O)=Nc1ccc(Cl)nc1)c1ccc(Br)cc1
847
+ CC(CN=C(O)c1ccc(Cl)nc1)c1ccc(Br)cc1
848
+ CC(CC(O)=Nc1ccc(Br)cn1)c1ccc(Cl)cc1
849
+ CC(CC(O)=Nc1ccc(Cl)cn1)c1ccc(Br)cc1
850
+ CC(CC(O)=Nc1ccc(Br)nc1)c1ccc(Cl)cc1
851
+ C[C@@H]1CCCN(C(=O)c2ccc(Br)cc2Cl)C1
852
+ CC(CCCN)n1ccnc1-c1ccc(Br)cc1
853
+ C[C@@H]1CCCN(C(=O)c2ccc(Br)cc2Br)C1
854
+ O=C(c1ccc(Cl)cc1Br)N1CCCC(Br)C1
855
+ Brc1cccc(N2CCC(n3ccnn3)CC2)c1
856
+ CC(N)c1c(Br)cnn1-c1ccc(Cl)cc1
857
+ C[C@H]1CCCN(C(=O)c2ccc(Br)cc2Cl)C1
858
+ Cc1csc(N=C(O)CCC(C)c2ccc(Cl)cc2)n1
859
+ Cc1ccc(N=C(O)CC(C)c2ccccc2)cc1Br
860
+ Cc1cc(N=C(O)CC(C)c2ccccc2)ccc1Br
861
+ CC(C)C(=O)N1CCN(C(=O)C(C)Cl)CC1
862
+ FC(F)(F)c1ccccc1-c1cc(Cl)[nH]n1
863
+ CC(N=C(O)c1ccc(Br)cc1Cl)c1ccc(Br)cc1
864
+ CC(N=C(O)c1cc(Br)ccc1Cl)c1ccc(Br)cc1
865
+ CC(N=C(O)c1cc(Cl)ccc1Br)c1ccc(Br)cc1
866
+ CC(N=C(O)c1cc(Br)ccc1Br)c1ccc(Cl)cc1
867
+ FC(F)(F)c1ccccc1-c1n[nH]c(Cl)n1
868
+ Cc1ccc(C(=O)C2CCCc3cc(Br)ccc32)cc1
869
+ O=C(c1c(F)cc(Cl)cc1Cl)N1CCCCC1
870
+ CC[C@@H](C)N=C(O)c1cc(Cl)ccc1C(F)(F)F
871
+ O=C(CN=C(O)c1ccc(Br)s1)c1ccc(Cl)cc1
872
+ O=C(CN=C(O)c1cc(Br)cs1)c1ccc(Cl)cc1
873
+ CC1CCCN(C(C)C(O)=Nc2ccc(Cl)cc2Cl)C1
874
+ FC(F)(F)c1ccccc1-c1ncc(Br)s1
875
+ FC(F)(F)c1ccccc1-c1csc(Br)n1
876
+ FC(F)(F)c1ccccc1-c1nc(Br)cs1
877
+ CC[C@H](C)N=C(O)c1cc(Br)ccc1C(F)(F)F
878
+ CC(C)(C)N=C(O)c1cc(Br)ccc1C(F)(F)F
879
+ O=C(c1cc(Br)c(Cl)cc1Br)N1CCNCC1
880
+ CC(N=C(O)c1ccc(Br)cc1Cl)c1ccc(F)cc1
881
+ CC(N=C(O)c1cc(Br)ccc1Cl)c1ccc(F)cc1
882
+ C[C@@H]1[NH2+]CCN(C(=O)c2csc(-c3ccc(Cl)cc3)n2)[C@@H]1C
883
+ Fc1ccc(-c2nc(C[NH+]3C[C@H]4CC=CC[C@H]4C3)no2)cc1
884
+ C[C@@H]1[NH2+]CCN(C(=O)c2csc(-c3ccc(F)cc3)n2)[C@H]1C
885
+ Brc1ccc(-c2nnc(-c3noc(-c4ccccc4)n3)s2)cc1
886
+ C[C@@H]1[C@@H](C)[NH2+]CCN1C(=O)c1csc(-c2ccc(Cl)cc2)n1
887
+ Fc1ccc(-n2nnnc2CN2CCN3CCCCC3C2)cc1
888
+ Clc1ccc(-c2noc([C@@H]3CCN(c4ccccc4)C3)n2)cc1
889
+ Clc1ccc(N2CC[C@@H](c3nc(-c4ccccc4)no3)C2)cc1
890
+ Brc1ccc(-c2noc(-c3ccc(N4CCCC4)cc3)n2)cc1
891
+ Clc1ccc(N2CC[C@H](c3nc(-c4ccccc4)no3)C2)cc1
892
+ Clc1ccc(N2CC[C@H](c3noc(-c4ccccc4)n3)C2)cc1
893
+ Clc1ccc(-c2noc([C@H]3CCN(c4ccccc4)C3)n2)cc1
894
+ C[C@@H]1CN(C(=O)c2csc(-c3ccc(Cl)cc3)n2)CCC[NH2+]1
895
+ Clc1ccc(-c2noc(-c3ccc(N4CCCC4)cc3)n2)cc1
896
+ C[C@@H]1CN(C(=O)c2csc(-c3ccc(Cl)cc3)n2)CC[NH+]1C
897
+ C[C@@H]1[NH2+]CCN(C(=O)c2cnn(-c3ccc(Cl)cc3)c2)[C@H]1C
898
+ C[C@@H]1C[NH+](Cc2csc(-c3ccc(F)cc3)n2)CCN1C
899
+ C[C@@H]1C[C@H](C)C[NH+](Cc2nnnn2-c2ccc(Cl)cc2)C1
900
+ Brc1ccc(-c2noc(-c3csc(-c4ccccc4)n3)n2)cc1
901
+ Brc1ccc(-c2ccc(-c3noc(-c4cccs4)n3)nc2)cc1
902
+ Cc1nc2ccc(C(=O)N3Cc4ccc(F)cc4C3)cc2[nH]1
903
+ Cc1nc2cc(C(=O)N3Cc4ccc(F)cc4C3)ccc2[nH]1
904
+ Cc1cc2cc(C(=O)N3Cc4ccc(F)cc4C3)cnc2[nH]1
905
+ Cc1nc2cc(C(=O)N3Cc4cccc(F)c4C3)ccc2[nH]1
906
+ Cc1nc2ncc(C(=O)N3Cc4ccc(Cl)cc4C3)cc2[nH]1
907
+ Cc1nc2cc(C(=O)N3Cc4ccc(Cl)cc4C3)cnc2[nH]1
908
+ Cc1nc2ncc(C(=O)N3Cc4ccc(F)cc4C3)cc2[nH]1
909
+ Nc1ccc2cc(C(=O)N3Cc4ccc(F)cc4C3)[nH]c2c1
910
+ Nc1ccc2[nH]c(C(=O)N3Cc4ccc(F)cc4C3)cc2c1
911
+ Nc1ccc2cc(C(=O)N3Cc4ccc(Cl)cc4C3)[nH]c2c1
912
+ Cc1nc2ccc(C(=O)N3Cc4ccc(F)cc4C3)cn2n1
913
+ Cc1nc2ccc(C(=O)N3Cc4ccc(Cl)cc4C3)cc2[nH]1
914
+ Cc1nc2cc(C(=O)N3Cc4ccc(Cl)cc4C3)ccc2[nH]1
915
+ Cc1nc2ncc(C(=O)N3Cc4ccc(F)cc4C3)cc2s1
916
+ Cc1ccc2cc(C(=O)N3Cc4ccc(F)cc4C3)[nH]c2c1
917
+ Cc1cc2cc(C(=O)N3Cc4ccc(F)cc4C3)ccc2[nH]1
918
+ Cc1ccc2[nH]cc(C(=O)N3Cc4ccc(F)cc4C3)c2c1
919
+ Cc1ccc2c(C(=O)N3Cc4ccc(F)cc4C3)c[nH]c2c1
920
+ Cc1cc2ccc(C(=O)N3Cc4ccc(F)cc4C3)cc2[nH]1
921
+ Cn1ncc2ccc(C(=O)N3Cc4ccc(F)cc4C3)cc21
922
+ CN1CCCc2cc(S(=O)(=O)c3cc(F)c(F)cc3Cl)ccc21
923
+ N#CN1CCc2cc(S(=O)(=O)c3ccc(F)cc3Cl)ccc21
924
+ CN1Cc2ccc(S(=O)(=O)c3ccc(Br)cc3F)cc2C1
925
+ CN1Cc2ccc(S(=O)(=O)c3cc(Br)ccc3F)cc2C1
926
+ CN1Cc2ccc(S(=O)(=O)c3ccc(F)cc3Br)cc2C1
927
+ Nc1ccc(S(=O)(=O)N2CCc3ccc(F)cc3CC2)c(Cl)c1
928
+ Cc1ccc(S(=O)(=O)N2CCc3cccc(F)c3CC2)c(Cl)c1
929
+ CN1Cc2ccc(S(=O)(=O)c3ccc(Br)c(F)c3)cc2C1
930
+ CN1Cc2ccc(S(=O)(=O)c3cc(F)cc(Br)c3)cc2C1
931
+ CN1Cc2ccc(S(=O)(=O)c3ccc(F)c(Br)c3)cc2C1
932
+ CN1Cc2ccc(S(=O)(=O)c3ccc(Br)cc3Cl)cc2C1
933
+ CN1Cc2ccc(S(=O)(=O)c3cc(Br)ccc3Cl)cc2C1
934
+ CN1Cc2ccc(S(=O)(=O)c3ccc(Cl)cc3Br)cc2C1
935
+ CN1Cc2ccc(S(=O)(=O)c3ccc(Cl)c(Br)c3)cc2C1
936
+ CN1Cc2ccc(S(=O)(=O)c3cc(F)cc(Cl)c3)cc2C1
937
+ NC1Cc2ccc(S(=O)(=O)c3ccc(F)c(Cl)c3)cc2C1
938
+ CN1Cc2ccc(S(=O)(=O)c3ccc(F)c(Cl)c3)cc2C1
939
+ CN1Cc2ccc(S(=O)(=O)c3ccc(Cl)c(F)c3)cc2C1
940
+ CN1Cc2ccc(S(=O)(=O)c3ccc(Cl)cc3F)cc2C1
941
+ CN1Cc2ccc(S(=O)(=O)c3ccc(F)cc3Cl)cc2C1
942
+ O=C(c1cc(Br)cs1)N1CCN(c2ccc(Cl)cc2)CC1
943
+ O=C(c1ccc(Br)s1)N1CCN(c2cccc(Cl)c2)CC1
944
+ O=C(c1cc(Br)cs1)N1CCN(c2cccc(Cl)c2)CC1
945
+ O=C(c1ccc(Br)s1)N1CCN(c2ccc(Cl)cc2)CC1
946
+ O=C(c1ccc(Cl)s1)N1CCN(c2ccc(Br)cc2)CC1
947
+ O=C(c1ccc(Cl)s1)N1CCN(c2cccc(Br)c2)CC1
948
+ [NH3+][C@@H]1CCCN(C(=O)c2cn[nH]c2-c2cccc(Cl)c2)C1
949
+ Cc1nc([C@@H]2CCCN(C(=O)c3ccc(Br)cc3)C2)n[nH]1
950
+ O=C(c1ccc(Br)s1)N1CCN(c2cccc(Br)c2)CC1
951
+ Cc1ccc(C(=O)N2CCN(c3cccc(Br)c3)CC2)s1
952
+ Cc1ccc(C(=O)N2CCN(c3ccc(Br)cc3)CC2)s1
953
+ Cc1ccc(N2CCN(C(=O)c3ccc(Br)s3)CC2)cc1
954
+ Cc1cccc(N2CCN(C(=O)c3cc(Br)cs3)CC2)c1
955
+ Cc1csc(C(=O)N2CCN(c3cccc(Br)c3)CC2)c1
956
+ Cc1ccc(N2CCN(C(=O)c3cc(Br)cs3)CC2)cc1
957
+ Cc1csc(C(=O)N2CCN(c3ccc(Br)cc3)CC2)c1
958
+ Cc1cccc(N2CCN(C(=O)c3ccc(Br)s3)CC2)c1
959
+ Cc1ccc(C(=O)N2CCOC(c3ccc(Br)cc3)C2)s1
960
+ Cc1cc(C(=O)N2CCCC[C@H]2c2ccc(Br)cc2)no1
961
+ Cn1cc(C(=O)N2CCC(c3cccc(Cl)c3)CC2)cn1
962
+ Cl[C@@H]1CCCN(c2nnc(-c3ccccc3)s2)C1
963
+ Nc1ccc(N=C(O)C2(c3ccccc3)CCOCC2)nc1
964
+ Cc1ccc(C(O)=NC2CCN(c3ccccc3)CC2)cn1
965
+ Cc1ccc(N=C(O)C2CCN(c3ccccc3)CC2)nc1
966
+ NC(=O)c1ccc(F)cc1
967
+ CC(C)(C)c1cccc(-c2ncc(Cl)s2)c1
968
+ CC(C)(C)c1csc(-c2cccc(Cl)c2)n1
969
+ CC(C)(C)c1nc(-c2cccc(Cl)c2)cs1
970
+ ClC1CCCC(c2noc(-c3ccccc3)n2)C1
971
+ Nc1ccc(N=C(O)C2CCN(c3ccccc3)CC2)cn1
972
+ OC(CN=C(O)c1ccc(Cl)cc1)=NCc1ccccc1
973
+ OC(=NCCc1ccccc1)N=C(O)c1ccc(Cl)cc1
974
+ Brc1ccc(-c2nsc(-c3ccccc3)n2)cc1
975
+ Brc1ccc(-c2nnc(-c3ccccc3)s2)cc1
976
+ Clc1nnc(N2CCN(c3ccccc3)CC2)s1
977
+ O=C(O)[C@@H](c1ccccc1)c1ccc(Cl)cc1
978
+ OC(CN=C(O)c1ccc(F)cc1)=NCc1ccccc1
979
+ Brc1ccc(-c2csc(-c3ccccc3)n2)cc1
980
+ Brc1ccc(-c2cnc(-c3ccccc3)s2)cc1
981
+ Brc1ccc(-c2ncc(-c3ccccc3)s2)cc1
982
+ Fc1ccc(N2CCC(c3ncc(Br)s3)CC2)c(F)c1
983
+ Cc1nc(C2CCN(c3ccc(F)cc3Br)CC2)n[nH]1
984
+ Cc1nc(C2CCN(c3ccc(F)cc3Cl)CC2)n[nH]1
985
+ CC1([NH3+])CCN(C(=O)c2ccc(F)c(Cl)c2)C1
986
+ Cc1noc([C@H]2CCCN(c3ccc(Br)cc3F)C2)n1
987
+ Cc1noc([C@H]2CCCN(c3ccc(F)cc3Br)C2)n1
988
+ Cc1nc(C2CCN(c3ccc(F)cc3F)CC2)n[nH]1
989
+ Cc1nnc(C2CCN(c3ccc(F)cc3F)CC2)[nH]1
990
+ O=C(c1ccc(Cl)c(Br)c1)N1CCc2n[nH]nc2C1
991
+ Cc1noc([C@H]2CCCN(c3ccc(F)cc3F)C2)n1
992
+ Cc1noc([C@@H]2CCCN(c3ccc(Br)cc3F)C2)n1
993
+ Cc1noc([C@@H]2CCCN(c3ccc(F)cc3Br)C2)n1
994
+ Nc1ccc(C(=O)N2CCc3nc[nH]c3C2)cc1Cl
995
+ Cc1noc([C@H]2CCCN(c3ccc(Br)cc3Cl)C2)n1
996
+ Cc1noc([C@H]2CCCN(c3ccc(Cl)cc3Br)C2)n1
997
+ Cc1nnc(N2CCC[C@H](C)C2)n1-c1ccccc1Br
998
+ Cc1noc([C@@H]2CCCN(c3ccc(F)cc3F)C2)n1
999
+ Cc1noc([C@@H]2CCCN(c3ccc(Br)cc3Cl)C2)n1
1000
+ Cc1noc([C@@H]2CCCN(c3ccc(Cl)cc3Br)C2)n1
1001
+ CCCN=C(O)CC1CCN(c2ccc(Cl)cc2Cl)CC1
1002
+ Brc1ccc(-c2nc(C3CCNCC3)n[nH]2)cc1
1003
+ N#Cc1cnc(-c2ccc(Cl)cc2)c(CBr)c1
1004
+ Clc1ccc(-c2nc(N3CCCCC3)n[nH]2)cc1
1005
+ Clc1ccc(-c2nc(C3CCNCC3)n[nH]2)cc1
1006
+ Fc1ccc(C(Br)Cc2ccc(Cl)cc2)c(Cl)c1
1007
+ Brc1ccc(-c2nc(C3CCCCC3)n[nH]2)cc1
1008
+ Clc1ccc(-c2ccc3[nH]c(CBr)nc3c2)cc1
1009
+ Cc1cc(Cl)ccc1C(O)=N[C@H](C)c1ccc(Br)cc1
1010
+ Clc1ccc(CC(Br)c2ccc(Cl)cc2Br)cc1
1011
+ Clc1ccc(-c2nc(C3CCCCC3)n[nH]2)cc1
1012
+ N#Cc1cc(CBr)cc(-c2ccc(Cl)cc2)c1
1013
+ NC(Cc1ccc(Cl)cc1)c1ccc(Br)cc1Br
1014
+ ClCc1nc2ccc(-c3ccc(Cl)cc3)cc2[nH]1
1015
+ ClCc1nc2cc(-c3ccc(Cl)cc3)ccc2[nH]1
1016
+ N#Cc1cc(CBr)ccc1-c1ccc(Cl)cc1
1017
+ OC(Cc1ccc(Cl)cc1)c1ccc(Cl)cc1Br
1018
+ OC(Cc1ccc(Cl)cc1)c1ccc(Br)cc1Cl
1019
+ Clc1ccc(-n2c(CBr)nc3ccccc32)cc1
1020
+ NC(Cc1ccc(Cl)cc1)c1ccc(Cl)cc1Br
1021
+ NC(Cc1ccc(Cl)cc1)c1ccc(Br)cc1Cl
1022
+ Cc1nnc(NC(=O)Cc2ccc(Cl)c(Br)c2)s1
1023
+ O=C(c1csc(-c2ccccc2Cl)n1)N1CC(F)(F)C1
1024
+ Cc1nc(CC(=O)Nc2ccc(Br)c(Br)c2)cs1
1025
+ Cc1c(C(=O)N2CCC[C@H](F)C2)cnn1-c1ccccc1Cl
1026
+ [NH3+][C@H]1CCCN(C(=O)c2cn[nH]c2-c2ccc(Cl)s2)C1
1027
+ Cc1nnc(NC(=O)Cc2ccc(F)c(Br)c2)s1
1028
+ Cn1cc(NC(=O)Cc2ccc(Br)c(Cl)c2)cn1
1029
+ Cn1cc(CC(=O)Nc2ccc(Cl)c(Br)c2)cn1
1030
+ Cc1ccc(CC(=O)Nc2ccc(Br)c(Br)c2)s1
1031
+ O=C(Nc1nc2ccc(Br)cc2s1)[C@H]1CCC[C@@H](F)C1
1032
+ C[NH+]1CCC[C@H](C(=O)Nc2n[nH]c3ccc(Br)cc23)C1
1033
+ O=C(CCc1cc(Br)ccc1Cl)Nc1ccc(Br)cc1
1034
+ C[NH+]1CCC[C@@H](C(=O)Nc2nc3ccc(F)cc3s2)C1
1035
+ Cc1ccc(CC(=O)Nc2ccc(Br)c(F)c2)s1
1036
+ C[NH+]1CCC[C@@H](C(=O)Nc2nc3cc(Br)ccc3s2)C1
1037
+ C[NH+]1CCC[C@H](C(=O)Nc2nc3ccc(Br)cc3s2)C1
1038
+ C[NH+]1CCC[C@H](C(=O)Nc2nc3cc(Br)ccc3s2)C1
1039
+ C[C@@H]1C[NH2+]CCN(C(=O)c2scnc2-c2ccccc2F)C1
1040
+ O=C(Cc1ccc(Cl)c(Br)c1)N[C@H]1CC[C@@H](F)C1
1041
+ Cn1ccc(NC(=O)Cc2ccc(Br)c(Br)c2)n1
1042
+ Cc1cc2sc(C(=O)N3CCN(c4ccc(F)cc4)CC3)cc2s1
1043
+ Cn1ncc2cc(C(=O)N3CCN(c4ccc(Cl)cc4)CC3)sc21
1044
+ Fc1cccc(CN2CCN(c3ccc4ccc(F)cc4n3)CC2)c1
1045
+ Cc1cn2cc(C(=O)N3CCN(c4ccc(F)cc4)CC3)sc2[nH+]1
1046
+ O=c1[nH]c2cc(C[NH+]3CCN(c4ccc(F)cc4)CC3)ccc2o1
1047
+ Cc1ccc2cc(C(=O)N3CCN(c4ccccc4F)CC3)ccc2n1
1048
+ Cc1ccc2cc(C(=O)N3CCN(c4ccccc4C)CC3)ccc2n1
1049
+ C[C@@H](C(=O)N1CC[NH+](Cc2ccc(F)cc2)CC1)C(F)(F)F
1050
+ CN1CCCc2cc(C(=O)N3CCN(c4ccccc4F)CC3)ccc21
1051
+ CN1CCCc2cc(C(=O)N3CCN(c4ccccc4Cl)CC3)ccc21
1052
+ Cc1ccc(N2CCN(Cc3ccc(F)cc3)C2=O)cc1Cl
1053
+ Cc1ccc(N2C(=O)N(Cc3ccc(F)cc3)C2=O)cc1
1054
+ Fc1ccc(N2CC[NH+](Cc3ccc4cc(F)ccc4n3)CC2)cc1
1055
+ Cc1c(F)cc(C(=O)N2CCN(c3ccccc3F)CC2)cc1F
1056
+ CN1CCCc2cc(C[NH+]3CCN(c4ccc(Br)cc4)CC3)ccc21
1057
+ Cc1ccc2nc(C(=O)N3CCN(c4ccccc4Cl)CC3)ccc2c1
1058
+ O=C(N[C@H]1CCC[C@H](c2nn[n-]n2)C1)c1ccc(Cl)cc1
1059
+ Cn1ccc(C(=O)N2CCN(c3ccc(Cl)cc3)CC2)cc1=O
1060
+ Cn1cc(C(=O)N2CCN(c3ccc(Cl)cc3)CC2)ccc1=O
1061
+ O=C(Nc1nc(-c2ccccc2)cs1)N1CCC[C@H](F)C1
1062
+ Cc1noc(CSc2ccc(Br)c(Cl)c2)n1
1063
+ CCCCN=C(O)CN1CCN(c2ccc(Cl)c(Cl)c2)CC1
1064
+ Cc1csc(NC(=O)c2ccc(Cl)nc2F)n1
1065
+ Cc1csc(CNc2ccc(Cl)cc2Br)n1
1066
+ Cc1csc(NCc2ccc(Br)cc2Cl)n1
1067
+ Cc1csc(NCc2cc(Br)ccc2Cl)n1
1068
+ Cc1csc(CNc2c(Cl)cccc2Br)n1
1069
+ Cc1csc(NCc2cc(Cl)ccc2Br)n1
1070
+ Cc1csc(CNc2cc(Br)ccc2Cl)n1
1071
+ Cc1csc(CNc2ccc(Br)cc2Cl)n1
1072
+ Cc1csc(SCc2ccc(Cl)c(F)c2)n1
1073
+ CC1CCCC(NC(O)=NCCCc2ccc(Cl)c(Cl)c2)C1
1074
+ Cc1csc(NC(=O)c2ccc(Br)cc2Cl)n1
1075
+ Cc1csc(NC(=O)c2cc(Br)ccc2Cl)n1
1076
+ Cc1csc(NC(=O)c2ccc(Cl)cc2Br)n1
1077
+ Cc1csc(COc2ccc(Br)cc2Cl)n1
1078
+ Cc1csc(NCc2ccc(Cl)c(Br)c2)n1
1079
+ Cc1csc(NCc2ccc(Br)c(Cl)c2)n1
1080
+ Cc1csc(CNc2ccc(Br)c(Cl)c2)n1
1081
+ Cc1csc(CNc2ccc(Cl)c(Br)c2)n1
1082
+ NCCCN=C(O)C1CCN(c2ccc(Cl)c(Cl)c2)C1
1083
+ Clc1ccc(Sc2cccn3cccc23)c(Br)c1
1084
+ Cc1ccc2nc(S)n(-c3ccc(C)c(Br)c3)c2c1
1085
+ CC(=O)N1CCC(c2ccc(F)cc2Cl)CC1
1086
+ O=C(c1cccc2[nH]ccc12)N1CC[C@@H](Br)C1
1087
+ CC(C)CN=C(O)c1ccc(-c2ccc(Cl)cc2)nc1
1088
+ CC(=O)N1CCC(c2ccc(Br)cc2F)CC1
1089
+ N#CCN=C(O)N1CCN(c2cccn3cccc23)CC1
1090
+ Clc1ccc(Cl)c(Cc2cccc3[nH]ccc23)c1
1091
+ O=C(c1cccc2[nH]ccc12)N1CC[C@H](Br)C1
1092
+ CC1CCN(C(=O)c2n[nH]c3ccccc23)C1
1093
+ CC1CCN(C(=O)c2c[nH]c3ncccc23)C1
1094
+ CN1CCN(Cc2ccc(Cl)c(Br)c2)CC1
1095
+ Cc1nc(-c2ccc(Cl)c(Cl)c2)c(CN)o1
1096
+ ClC1=CCCN(Cc2cccn3cccc23)C1
1097
+ NC1CCN(C(=O)c2cccc3nc[nH]c23)C1
1098
+ N#CCN1CCN(c2ccc(Cl)c(Cl)c2)CC1
1099
+ Cc1ccc(-n2c(C)c(Cl)c3ccccc32)cc1C
1100
+ CS(=O)(=O)C1CCN(c2cccn3cccc23)CC1
1101
+ CS(=O)(=O)C1CCCN(c2cccn3cccc23)C1
1102
+ [NH3+][C@H]1CCC[C@H](C(=O)NCc2ccc(Br)cc2Br)C1
1103
+ [NH3+][C@H]1CCC[C@H](C(=O)NCc2cc(Br)ccc2Br)C1
1104
+ O=C(NCc1ccc(Br)cc1Cl)N1CCC[C@H](F)C1
1105
+ O=C(NCc1ccc(Cl)cc1Br)N1CCC[C@H](F)C1
1106
+ C[C@@H](NC(=O)c1ccc(Cl)cc1)c1ccc(Br)cc1
1107
+ N#Cc1ccc(C(=O)N2CCN(c3ccc(Cl)cc3)CC2)cc1
1108
+ [NH3+][C@H]1CCC[C@H](C(=O)NCc2ccc(F)cc2Cl)C1
1109
+ O=C(NCc1ccc(Br)cc1Cl)N1CCC[C@@H](F)C1
1110
+ O=C(NCc1ccc(Cl)cc1Br)N1CCC[C@@H](F)C1
1111
+ O=C(NCc1ccc(Br)cc1Br)N1CCC[C@@H](F)C1
1112
+ C[NH+]1CCC[C@@H](C(=O)NCc2cc(F)cc(Br)c2)C1
1113
+ [NH3+][C@@H]1CCC[C@H](C(=O)NCc2ccc(Br)cc2Br)C1
1114
+ C[NH+]1CCC[C@@H](C(=O)NCc2cc(Cl)cc(Br)c2)C1
1115
+ Cc1ccc(C(=O)N2CCC[C@H]2c2ccc(F)cc2)cc1Br
1116
+ [NH3+][C@H]1CCC[C@H](C(=O)NCc2ccc(Br)cc2F)C1
1117
+ [NH3+][C@H]1CCC[C@H](CNC(=O)c2ccc(F)cc2Br)C1
1118
+ [NH3+][C@H]1CCC[C@H](C(=O)NCc2cc(Br)ccc2F)C1
1119
+ [NH3+][C@H]1CCC[C@H](C(=O)NCc2ccc(F)cc2Br)C1
1120
+ O=C(NCc1ccc(Br)cc1Cl)[C@H]1CCC[C@H](F)C1
1121
+ CC(=O)NC[C@@H]1CCCN(c2ccc(Br)cc2Cl)C1
1122
+ Cc1cc(C(=O)N2CCc3cc(F)ccc3C2)cc(Cl)c1Cl
1123
+ Cc1cc(Cl)cc(C(=O)N2CCc3cc(F)ccc3C2)c1Cl
1124
+ Cc1cc(Br)cc(C(=O)N2CCc3ccc(F)cc3C2)c1C
1125
+ Cc1cc(Br)cc(C(=O)N2CCc3cc(F)ccc3C2)c1C
1126
+ Cc1cc(C(=O)N2CCc3cc(F)ccc3C2)cc(C)c1Br
1127
+ Cc1c(F)cc(C(=O)N2CCc3ccc(Br)cc3C2)cc1F
1128
+ Cc1cc(C(=O)N2CCc3cc(Br)ccc3C2)cc(F)c1F
1129
+ Cc1cc(C(=O)N2CCc3cc(F)ccc3C2)cc(Br)c1F
1130
+ Cc1cc(C(=O)N2CCCc3cc(F)ccc32)cc(Br)c1F
1131
+ Cc1cc(F)cc(C(=O)N2CCc3cc(Br)ccc3C2)c1F
1132
+ Cc1cc(C(=O)N2CCc3ccc(Cl)cc3C2)cc(F)c1F
1133
+ Cc1cc(C(=O)N2CCc3cc(Cl)ccc3C2)cc(F)c1F
1134
+ Cc1cc(F)cc(C(=O)N2CCc3cc(F)ccc3C2)c1Cl
1135
+ Cc1cc(F)cc(C(=O)N2CCc3cc(F)ccc3C2)c1F
1136
+ Cc1cc(F)cc(C(=O)N2CCCc3cc(F)ccc32)c1F
1137
+ Cc1cc(C(=O)N2CCc3ccc(F)cc3C2)cc(F)c1F
1138
+ Cc1cc(C(=O)N2CCCc3ccc(F)cc32)cc(F)c1F
1139
+ Cc1cc(C(=O)N2CCc3cc(F)ccc3C2)cc(F)c1F
1140
+ Cc1cc(F)cc(C(=O)N2CCc3ccc(F)cc3C2)c1F
1141
+ CC1(C)CN(C(=O)c2cc(Br)cc(F)c2Cl)CC[C@H]1[NH3+]
1142
+ Cc1n[nH]c2ccc(C(=O)N3CCC[C@H]4CCCC[NH+]43)cc12
1143
+ Cc1n[nH]c2ccc(C(=O)N3CCCc4nccnc43)cc12
1144
+ Cc1n[nH]c2ccc(C(=O)N3CCCc4cncnc43)cc12
1145
+ Cc1n[nH]c2ccc(C(=O)N3CCCc4cccnc43)cc12
1146
+ Cc1nc2ccc(C(=O)N3CCCc4cccnc43)cc2[nH]1
1147
+ Cc1n[nH]c2ccc(C(=O)N3CCCc4ccccc43)nc12
1148
+ Cc1n[nH]c2ccc(C(=O)N3CCCc4ncccc43)cc12
1149
+ Cc1n[nH]c2ccc(C(=O)N3CCCc4ccncc43)cc12
1150
+ Cc1ccc2cc(C(=O)N3CCC4(CCC4)C3)sc2c1
1151
+ Cc1cc2cc(C(=O)N3CCC4(CCC4)C3)ccc2s1
1152
+ Cc1n[nH]c2ccc(C(=O)N3CCC4(C[NH2+]C4)C3)cc12
1153
+ Cc1n[nH]c2ccc(C(=O)N3CCCC(F)(F)C3)cc12
1154
+ Cc1nc2ccc(C(=O)N3CCCC(F)(F)C3)cc2[nH]1
1155
+ Cc1n[nH]c2ccc(C(=O)N3CCC(F)(F)CC3)cc12
1156
+ Cc1n[nH]c2ccc(C(=O)N3CCCc4sccc4C3)cc12
1157
+ CC1(F)CCCN(C(=O)c2ccc3[nH]cc(Cl)c3c2)C1
1158
+ CC1CCCN(C(=O)Cc2ccc3[nH]cc(Br)c3c2)C1
1159
+ Cn1ncc2ccc(C(=O)N3CCCc4ccccc43)cc21
1160
+ Cn1ccc2ccc(C(=O)N3CCCc4ccccc43)cc21
1161
+ Nc1n[nH]c2ccc(C(=O)N3CCCc4ccccc43)cc12
1162
+ F[C@@H]1CC[NH+](Cc2ccc(-c3nc4ccccc4[nH]3)cc2)C1
1163
+ Clc1ccc(Cc2nc(-c3nc4ccccc4s3)no2)cc1
1164
+ Clc1ccc(-c2noc(Cc3nc4ccccc4s3)n2)cc1
1165
+ Clc1ccc(-c2nc(Cc3nc4ccccc4s3)no2)cc1
1166
+ Clc1cccc(-c2noc(Cc3nc4ccccc4s3)n2)c1
1167
+ Clc1cccc(-c2nc(Cc3nc4ccccc4s3)no2)c1
1168
+ Clc1cccc(Cc2noc(-c3nc4ccccc4s3)n2)c1
1169
+ Clc1cccc(Cc2nc(-c3nc4ccccc4s3)no2)c1
1170
+ Clc1ccc(Cc2noc(-c3nc4ccccc4s3)n2)cc1
1171
+ Brc1ccc(-c2nc(Cc3nc4ccccc4[nH]3)no2)cc1
1172
+ Brc1ccc(-c2noc(Cc3nc4ccccc4[nH]3)n2)cc1
1173
+ Brc1cccc(-c2noc(Cc3nc4ccccc4[nH]3)n2)c1
1174
+ Brc1cccc(-c2nc(Cc3nc4ccccc4[nH]3)no2)c1
1175
+ Brc1ccc(Cc2nc(-c3nc4ccccc4[nH]3)no2)cc1
1176
+ Brc1cccc(Cc2nc(-c3nc4ccccc4[nH]3)no2)c1
1177
+ Ic1ccc(-c2noc(Cc3nc4ccccc4s3)n2)cc1
1178
+ Ic1cccc(-c2noc(Cc3nc4ccccc4s3)n2)c1
1179
+ Ic1ccc(-c2nc(Cc3nc4ccccc4s3)no2)cc1
1180
+ Ic1ccc(Cc2nc(-c3nc4ccccc4s3)no2)cc1
1181
+ Ic1ccc(Cc2noc(-c3nc4ccccc4s3)n2)cc1
1182
+ Cc1cc(Br)cc(C(=O)N2CCCc3ccc(F)cc32)c1O
1183
+ Cc1cc(Cl)c(O)c(C(=O)N2CCc3ccc(F)cc3C2)c1
1184
+ Fc1ccc(Br)cc1C[NH+]1CCC[C@@H](n2cnnn2)C1
1185
+ C[NH+]1CCC[C@]2(CCN(C(=O)c3ccc4ncsc4c3)C2)C1
1186
+ C[NH+]1CC[C@]2(CCCN(C(=O)c3ccc4ncsc4c3)C2)C1
1187
+ C[NH+]1CC[C@]2(CCCN(C(=O)c3ccc4scnc4c3)C2)C1
1188
+ C[NH+]1CCC[C@]2(CCN(C(=O)c3cnc4sccc4c3)C2)C1
1189
+ C[NH+]1CCC[C@]2(CCN(C(=O)c3cnc4ccsc4c3)C2)C1
1190
+ C[NH+]1CC[C@]2(CCCN(C(=O)c3cc4cnccc4s3)C2)C1
1191
+ C[NH+]1CC[C@]2(CCCN(C(=O)c3cnc4ccsc4c3)C2)C1
1192
+ Cn1cc(C2CCN(C(=O)c3cc(F)ccc3Cl)CC2)cn1
1193
+ C[NH+]1CC[C@@]2(CCCN(C(=O)c3cc4cnccc4s3)C2)C1
1194
+ C[NH+]1CC[C@@]2(CCCN(C(=O)c3ccc4ncsc4c3)C2)C1
1195
+ C[NH+]1CC[C@@]2(CCCN(C(=O)c3ccc4scnc4c3)C2)C1
1196
+ C[NH+]1CCC[C@@]2(CCN(C(=O)c3cnc4sccc4c3)C2)C1
1197
+ C[NH+]1CCC[C@@]2(CCN(C(=O)c3ccc4ncsc4c3)C2)C1
1198
+ C[NH+]1CC[C@]2(CCCN(C(=O)c3cnc4scnc4c3)C2)C1
1199
+ C[NH+]1CCC2(CCN(C(=O)c3cnc4ncsc4c3)CC2)C1
1200
+ C[NH+]1CCC2(CCN(C(=O)c3c[nH]c4ccccc34)CC2)C1
1201
+ C[NH+]1CCC2(CCN(C(=O)c3ccc4[nH]ccc4c3)CC2)C1
1202
+ Brc1ccc(N2CCC(c3nc[nH]n3)CC2)cc1
1203
+ Brc1ccc(N2CCC(c3nn[nH]n3)CC2)cc1
1204
+ Clc1ccc(N2CCC(c3nn[nH]n3)CC2)cc1
1205
+ C[C@@H]1C[NH+](C)CCN1C(=O)c1ccc(Cl)cc1
1206
+ Brc1ccc(-c2nc(C3CCCCN3)n[nH]2)cc1
1207
+ O=C(C(Cl)c1ccc(Br)cc1)N1CCCCC1
1208
+ CC1CC(Br)CCN1C(=O)c1ccc(Cl)cc1
1209
+ Brc1ccc(C2CCC(c3nn[nH]n3)CC2)cc1
1210
+ Clc1ccc2nc(Cc3ccccc3Br)[nH]c2c1
1211
+ Clc1ccc(N2CCC(N3CCOCC3)C2)cc1
1212
+ Clc1ccc(N2CCC(c3nnc[nH]3)CC2)cc1
1213
+ Clc1ccc(N2CCC(n3cncn3)CC2)cc1
1214
+ Clc1ccc(N2CCC(n3ccnn3)CC2)cc1
1215
+ Clc1ccc(Oc2ccc(Br)cc2)nc1Cl
1216
+ Fc1ccc(N2CCCC(n3cnnn3)C2)cc1
1217
+ Fc1ccc(N2CCC(c3nn[nH]n3)CC2)cc1
1218
+ Brc1ccc(-c2nnc(C3CCCCC3)[nH]2)cc1
1219
+ C=C(Cl)CN1CCN(c2ccc(F)cc2)CC1
1220
+ Brc1ccc(N2CCC(c3ncc[nH]3)CC2)cc1
1221
+ Brc1ccc(N2CCC(c3cc[nH]n3)CC2)cc1
1222
+ Cc1cc(Br)ccc1N=C(O)[C@H](C)c1ccc(Cl)cc1
1223
+ CC(CN=C(O)c1cccc(Br)c1)c1ccc(Cl)cc1
1224
+ Cc1cc(Br)ccc1N=C(O)C(C)c1ccc(Cl)cc1
1225
+ CC(Br)C(=O)N1CC[C@@H](c2ccc(Cl)cc2)C1
1226
+ Cc1ccc(N=C(O)[C@H](C)c2ccc(Cl)cc2)c(Cl)c1
1227
+ Brc1ccc(-c2nc(C3CCNCC3)n[nH]2)cc1
1228
+ Brc1ccc(-c2n[nH]c(C3CCNCC3)n2)cc1
1229
+ Brc1cccc(-c2n[nH]c(C3CCCCC3)n2)c1
1230
+ Brc1ccc(-c2nc(C3CCCCC3)n[nH]2)cc1
1231
+ CC(C)c1nnc(S)n1-c1ccc(Br)cc1
1232
+ Cc1ccc(C(C)C(O)=Nc2ccc(F)cc2Cl)cc1
1233
+ Fc1ccc(-c2n[nH]c(C3CCNCC3)n2)cc1
1234
+ Fc1cccc(-c2n[nH]c(C3CCNCC3)n2)c1
1235
+ CC(C(O)=Nc1ccc(Cl)cc1Cl)c1ccc(F)cc1
1236
+ Cc1nc(-c2ccc(Br)cc2)n(C(C)C)n1
1237
+ Brc1ccc(-c2noc(C3CCSCC3)n2)cc1
1238
+ Brc1cccc(-c2noc(C3CCSCC3)n2)c1
1239
+ Clc1ccc(-c2n[nH]c(C3CCNCC3)n2)cc1
1240
+ Clc1ccc(-c2nc(C3CCCCC3)n[nH]2)cc1
1241
+ C[C@H]1CN(C(=O)Cc2ccc(Br)cc2)CC[NH2+]1
1242
+ Cc1nc(C)c(C(=O)Nc2ccc(Cl)c(Cl)c2)s1
1243
+ O=C(c1ccc(Cl)nc1)N1CCC[C@@H](n2cccn2)C1
1244
+ O=C(c1ccc(Cl)nc1)N1CCC[C@H](n2cccn2)C1
1245
+ O=C(c1ccc(Cl)cn1)N1CCC[C@H](n2cccn2)C1
1246
+ Cc1nc(C)c(C(=O)Nc2ccc(Br)c(F)c2)s1
1247
+ C[NH+]1CCC[C@H](C(=O)Nc2ccc(Br)c(Br)c2)C1
1248
+ O=C(Nc1ccc(Cl)c(Br)c1)c1ccc(Cl)cn1
1249
+ O=C(Nc1ccc(Br)c(Cl)c1)c1ccc(Cl)nc1
1250
+ O=C(Nc1ccc(Cl)nc1)c1ccc(Cl)c(F)c1
1251
+ O=C(Nc1cc(Cl)cc(Br)c1)N1CCC[C@H](F)C1
1252
+ O=C(Nc1ccc(Br)c(Cl)c1)c1cccc(Cl)c1
1253
+ O=C(Nc1ccc(Br)cc1)c1cc(Cl)cc(Cl)c1
1254
+ O=C(Nc1ccc(Cl)c(Br)c1)c1ccc(Cl)cc1
1255
+ O=C(Nc1ccc(Br)cc1)c1ccc(Cl)c(Cl)c1
1256
+ O=C(Nc1ccc(Cl)cc1)c1ccc(Cl)c(Br)c1
1257
+ O=C(Nc1ccc(Cl)c(Cl)c1)c1ccc(Br)cc1
1258
+ O=C(Nc1ccc(Cl)c(Cl)c1)c1cccc(Br)c1
1259
+ O=C(Nc1ccc(Br)c(Cl)c1)c1ccc(Cl)cc1
1260
+ O=C(Nc1ccc(Cl)cc1)c1ccc(Br)c(Cl)c1
1261
+ [NH3+][C@H]1CCC[C@H](NC(=O)c2ccc(Br)c(Cl)c2)C1
1262
+ Cc1ccc(N2CCC(N=C(O)c3cc(F)ccc3Br)CC2)cc1
1263
+ Clc1ccc(-c2nc(-c3ccc(Br)cn3)no2)c(Br)c1
1264
+ Cc1ccc(N2CCCC(N=C(O)c3ccc(Cl)cc3Cl)C2)nc1
1265
+ Cc1ccc(N2CCCC(N=C(O)c3ccc(Br)cc3Cl)C2)cc1
1266
+ Clc1ccc(-c2nc(-c3ccc(Br)cc3Br)no2)nc1
1267
+ Clc1ccc(-c2noc(-c3ccc(Br)cc3)n2)c(Br)c1
1268
+ Clc1ccc(-c2nc(-c3ccc(Br)cc3)no2)c(Br)c1
1269
+ Clc1ccc(Br)c(-c2nc(-c3ccc(Br)cc3)no2)c1
1270
+ Clc1ccc(-c2nc(-c3cccc(Br)c3)no2)c(Br)c1
1271
+ Fc1ccc(Br)c(-c2noc(-c3ccc(Br)cn3)n2)c1
1272
+ Cc1ccc(N2CCN(C(O)=Nc3ccc(F)cc3F)CC2)cc1
1273
+ CCC(N=C(O)c1c(F)cc(Br)cc1Cl)c1ccc(Cl)cc1
1274
+ CC(Cc1ccc(Cl)c(Cl)c1)N=C(O)c1ccc(F)cc1Br
1275
+ Clc1ccc(-c2nc(-c3ccc(I)cc3)no2)c(Cl)c1
1276
+ Brc1ccc(-c2nc(-c3ccc(Br)cc3Br)no2)nc1
1277
+ Brc1ccc(-c2noc(-c3ccc(Br)cc3Br)n2)nc1
1278
+ Brc1ccc(-c2nc(-c3ccc(I)cc3Br)no2)nc1
1279
+ Brc1ccc(-c2nc(-c3ccc(Br)cc3I)no2)nc1
1280
+ Fc1ccc(Br)c(-c2noc(-c3ccc(Br)cc3)n2)c1
1281
+ Fc1ccc(Br)c(-c2nc(-c3ccc(Br)cc3)no2)c1
1282
+ Fc1ccc(CN2CC[C@@H]([NH+]3CCC(Cl)CC3)C2)c(Cl)c1
1283
+ F[C@H]1CC[C@H](C[NH+]2CCN(c3ccc(Cl)cc3Cl)CC2)C1
1284
+ Fc1ccc(N2CC[NH+](C[C@H]3CC[C@H](F)C3)CC2)c(Cl)c1
1285
+ Fc1ccc(CN2CC[C@@H]([NH+]3CCC(F)CC3)C2)c(Cl)c1
1286
+ FC1CC[NH+]([C@@H]2CCN(Cc3ccc(Cl)cc3Cl)C2)CC1
1287
+ FC1CC[NH+](C[C@@H]2CCN(c3ccc(Cl)cc3Cl)C2)CC1
1288
+ CN1CC[NH+](C[C@H]2CCN(c3ccc(Br)cc3Cl)C2)CC1
1289
+ FC1CC[NH+](C[C@@H]2CCCN2c2ccc(Cl)cc2Cl)CC1
1290
+ Fc1ccc(N2CC[NH+](C[C@@H]3CC[C@H](F)C3)CC2)c(Cl)c1
1291
+ Fc1ccc(CN2CC[NH+]([C@@H]3CC[C@H](F)C3)CC2)c(Cl)c1
1292
+ CN1CC[NH+]([C@@H]2CCN(Cc3ccc(Br)cc3Cl)C2)CC1
1293
+ C[NH+]1CCC([NH2+][C@H]2CCN(c3ccc(Cl)cc3Cl)C2)CC1
1294
+ C[NH+]1CCC([NH2+][C@@H]2CCN(c3ccc(Cl)cc3Cl)C2)CC1
1295
+ F[C@@H]1CC[C@@H](C[NH+]2CCN(c3ccc(Cl)cc3Cl)CC2)C1
1296
+ CC1CC[NH+]([C@@H]2CCN(Cc3ccc(Br)cc3Cl)C2)CC1
1297
+ C[NH+]1CCN([C@H]2CCN(Cc3ccc(F)cc3Cl)C2)CC1
1298
+ CN1CC[C@H](C[NH+]2CCN(c3ccc(F)cc3Cl)CC2)C1
1299
+ CN1CC[NH+]([C@H]2CCN(Cc3ccc(F)cc3Cl)C2)CC1
1300
+ CN1CC[NH+](C[C@H]2CCN(c3ccc(F)cc3Cl)C2)CC1
1301
+ CN1CC[C@H]([NH+]2CCN(Cc3ccc(F)cc3Cl)CC2)C1
1302
+ Clc1ccc(-c2nnc(-c3ccccc3)o2)nc1
1303
+ Clc1ccc(-c2noc(-c3ccccc3)n2)cn1
1304
+ Cc1nc(-c2ccc(Br)cc2)sc1C(C)Cl
1305
+ CC(C)c1sc(-c2ccc(Br)cc2)nc1Cl
1306
+ CC(C)(C(O)=Nc1ccc(Cl)cc1)c1ccccc1Br
1307
+ Ic1ccc(-c2noc(-c3ccccc3)n2)nc1
1308
+ Brc1ccc(-c2nnc(-c3ccccc3)o2)cn1
1309
+ Cc1sc(C(C)N)nc1-c1ccc(Br)cc1
1310
+ Cc1nc(C(Cl)c2ccc(Cl)cc2)sc1C
1311
+ CC(C)c1nnc(S)n1-c1ccc(Cl)cc1
1312
+ CC(C)c1nnc(S)n1-c1ccc(Br)cc1
1313
+ Clc1ccc(-c2nc(-c3ccccc3)no2)cc1
1314
+ Clc1ccc(-c2nnc(-c3ccccc3)o2)cc1
1315
+ Clc1ccc(-c2noc(-c3ccccc3)n2)cc1
1316
+ Clc1cccc(-c2nnc(-c3ccccc3)o2)c1
1317
+ Clc1cccc(-c2nc(-c3ccccc3)no2)c1
1318
+ Clc1cccc(-c2noc(-c3ccccc3)n2)c1
1319
+ Fc1ccc(-c2noc(-c3ccccc3)n2)cn1
1320
+ Clc1ccc(C(Br)c2nc3ccccc3s2)cc1
1321
+ Clc1ccc(-c2nnn(-c3ccccc3)n2)cc1
1322
+ C[C@H](c1ccc(Br)cc1)N(C)C(=O)c1ccc(Cl)c(Cl)c1
1323
+ Cc1nnc(NC(=O)N2CC[C@@H](c3ccc(Br)cc3)C2)s1
1324
+ Cc1[nH+]cc(C(=O)N[C@@H]2CCN(c3ccc(Cl)cc3)C2)s1
1325
+ Cn1ccc(C(=O)NC2CC(c3ccc(F)cc3Cl)C2)n1
1326
+ Cc1[nH]c(C(=O)N[C@@H]2CCN(c3ccc(Cl)cc3)C2)c[nH+]1
1327
+ Cc1nnc(NC(=O)[C@@H]2CCN(c3ccc(Cl)cc3)C2)s1
1328
+ Cc1[nH]c(C(=O)N[C@@H]2CCN(c3ccc(F)cc3)C2)c[nH+]1
1329
+ Cc1nnc(NC(=O)N2CC[C@H](c3ccc(Cl)cc3)C2)s1
1330
+ Cc1nnc(NC(=O)[C@H]2CCN(c3ccc(Cl)cc3)C2)s1
1331
+ C[C@@H](Oc1ccc(F)cc1Cl)C(=O)Nc1ccc(Cl)cc1
1332
+ Cc1[nH]c(C(=O)N[C@H]2CCN(c3ccc(Cl)cc3)C2)c[nH+]1
1333
+ C[C@@H](c1ccc(Cl)cc1)N(C)C(=O)c1ccc(F)c(F)c1
1334
+ Cc1[nH+]cc(C(=O)N[C@@H]2CCN(c3ccc(F)cc3)C2)s1
1335
+ Cc1ccc(C(=O)N[C@@H]2CCN(c3cccc(Br)c3)C2)s1
1336
+ Cc1nc2cc(C(=O)NCc3cccc(Br)c3)ccc2[nH]1
1337
+ O=C(NC1CCCCCC1)c1ccn(-c2ccc(Cl)cc2Cl)n1
1338
+ Cc1cc(C(=O)N[C@@H]2CCN(c3cccc(Br)c3)C2)n[nH]1
1339
+ Cc1cc(C(=O)N[C@@H]2CCN(c3ccc(Br)cc3)C2)n[nH]1
1340
+ C[C@@H](c1ccc(Br)cc1)N(C)C(=O)c1ccc(F)c(F)c1
1341
+ Fc1ccc(OC2CCN(Cc3ccc(Br)cc3)CC2)cc1
1342
+ FC(F)(F)c1ccnc(N2CCO[C@H]3CCC[C@H]32)n1
1343
+ FC(F)(F)c1ccnc(N2CCO[C@H]3CCC[C@@H]32)n1
1344
+ FC(F)(F)c1ccnc(N2CC[C@H]3COC[C@@H]3C2)n1
1345
+ FC(F)(F)c1ccnc(N2CCO[C@@H]3CCC[C@@H]32)n1
1346
+ FC(F)(F)c1ccnc(N2CC[NH+]3CCC[C@H]3C2)n1
1347
+ FC(F)(F)c1ccnc(N2CC[NH+]3CCC[C@@H]3C2)n1
1348
+ C[C@@H]1CCN(c2ccc(Br)c(C(F)(F)F)c2)C1
1349
+ FC(F)(F)c1ccnc(N2CCC[C@H]3CCC[C@@H]32)n1
1350
+ FC(F)(F)c1ccnc(N2CC[C@H]3CCCC[C@@H]32)n1
1351
+ FC(F)(F)c1ccnc(N2CCC[C@@H]3CCC[C@@H]32)n1
1352
+ FC(F)(F)c1ccnc(N2CC[C@H]3C[NH2+]C[C@H]3C2)n1
1353
+ FC(F)(F)c1ccnc(N2CCC[C@H]3CCC[C@H]32)n1
1354
+ FC(F)(F)c1ccnc(N2CC[C@H]3CCC[C@H]3C2)n1
1355
+ FC(F)(F)c1ccnc(N2CC[C@H]3CCCC[C@H]32)n1
1356
+ FC(F)(F)c1cccc(N2CC[NH+]3CCC[C@H]3C2)n1
1357
+ FC(F)(F)c1ccnc(N2CCS[C@H]3CCC[C@H]32)n1
1358
+ FC(F)(F)c1cccc(N2CC[NH+]3CCC[C@@H]3C2)n1
1359
+ FC(F)(F)c1ccnc(N2CCN3CCC[C@@H]3C2)n1
1360
+ CCC(=O)N1CC[NH+]2CC[C@@H](C(F)(F)F)C[C@H]2C1
1361
+ FC(F)(F)c1ccnc(N2CCN3CCC[C@H]3C2)n1
1362
+ Clc1ccc(N2CCN(c3nc4ccc(Cl)cc4[nH]3)CC2)cc1
1363
+ Clc1ccc2nc(N3CCN(c4ccc(I)cc4)CC3)sc2c1
1364
+ Fc1ccc(N2CCN(c3nc4ccc(Cl)cc4[nH]3)CC2)cc1
1365
+ Fc1ccc2nc(N3CCN(c4ccc(Cl)cc4)CC3)[nH]c2c1
1366
+ Fc1ccc(N2CCC(c3nc4ccc(Cl)cc4[nH]3)CC2)cc1
1367
+ Clc1ccc(N2CCN(c3nc4ccc(Cl)cc4s3)CC2)cc1
1368
+ Fc1ccc(N2CCN(c3nc4ccc(Br)cc4s3)CC2)cc1
1369
+ Fc1ccc2nc(N3CCN(c4ccc(Br)cc4)CC3)sc2c1
1370
+ Fc1ccc2nc(N3CCN(c4ccc(Cl)cc4)CC3)sc2c1
1371
+ Fc1ccc(N2CCN(c3nc4ccc(Cl)cc4s3)CC2)cc1
1372
+ Fc1ccc2nc(C3CCN(c4ccc(Cl)cc4)CC3)sc2c1
1373
+ Fc1ccc(N2CCN(c3nnc4cc(Br)ccn34)CC2)cc1
1374
+ Fc1ccc(N2CCN(c3nc4ccc(I)cc4s3)CC2)cc1
1375
+ Fc1ccc2nc(N3CCN(c4ccc(I)cc4)CC3)sc2c1
1376
+ Fc1ccc(N2CCN(c3nnc4cc(Cl)ccn34)CC2)cc1
1377
+ Fc1ccn2c(N3CCN(c4ccc(Cl)cc4)CC3)nnc2c1
1378
+ Cc1nc2ccc(N3CCN(c4ccc(I)cc4)CC3)nc2s1
1379
+ Nc1ccn2c(N3CCN(c4ccc(F)cc4)CC3)nnc2c1
1380
+ Clc1ccc(N2CCN(c3nc4ccc(Br)cc4s3)CC2)cc1
1381
+ Clc1ccc2nc(N3CCN(c4ccc(Br)cc4)CC3)sc2c1
1382
+ CC(N)c1n[nH]c(-c2ccc(Br)c(Br)c2)n1
1383
+ Cc1nc(-c2ccc(Br)cc2)c(C(C)Cl)o1
1384
+ CC(C)c1noc(-c2ccc(Br)c(I)c2)n1
1385
+ CC(C)c1noc(-c2ccc(I)c(Br)c2)n1
1386
+ CC(C)c1nc(-c2ccc(I)c(Br)c2)no1
1387
+ CC(C)c1nc(-c2ccc(Br)c(I)c2)no1
1388
+ CC(C)n1ccnc1-c1ccc(I)c(Cl)c1
1389
+ CC(Br)c1noc(-c2ccc(F)c(Br)c2)n1
1390
+ CC(N)c1cnc(-c2ccc(Cl)c(Br)c2)s1
1391
+ CC(N)c1cnc(-c2ccc(Br)c(Cl)c2)s1
1392
+ CC(N)c1nc(-c2ccc(Cl)c(Br)c2)cs1
1393
+ CC(N)c1csc(-c2ccc(Br)c(Cl)c2)n1
1394
+ CC(Br)c1nc(-c2ccc(Cl)c(Br)c2)no1
1395
+ CC(N)c1nnc(-c2ccc(Br)c(Cl)c2)s1
1396
+ CC(N)c1nnc(-c2ccc(Cl)c(Br)c2)s1
1397
+ CC(C)c1coc(-c2ccc(Cl)c(Cl)c2)n1
1398
+ CC(C)c1noc(-c2ccc(F)c(Br)c2)n1
1399
+ CC(C)c1noc(-c2ccc(Br)c(F)c2)n1
1400
+ CC(C)c1nc(-c2ccc(Br)c(F)c2)no1
1401
+ CC(C)c1nc(-c2ccc(F)c(Br)c2)no1
1402
+ C[C@H](C(O)=Nc1cc(Cl)ccc1Br)c1cccc(Cl)c1
1403
+ C[C@H](N=C(O)c1cc(Cl)ccc1Cl)c1ccc(Br)cc1
1404
+ OC(=NCc1ccc(Cl)c(F)c1)c1cc(Cl)ccc1Br
1405
+ C[C@@H](C(O)=Nc1cc(Cl)ccc1Br)c1ccc(Cl)cc1
1406
+ CC(N=C(O)c1cc(Br)ccc1Br)c1cccc(Cl)c1
1407
+ CC(N=C(O)c1cc(Br)ccc1Cl)c1cccc(Br)c1
1408
+ CC(N=C(O)c1cc(Cl)ccc1Br)c1ccc(Br)cc1
1409
+ CC(N=C(O)c1cc(Br)ccc1Br)c1ccc(Cl)cc1
1410
+ CC(N=C(O)c1cc(Cl)ccc1Br)c1cccc(Br)c1
1411
+ CC(N=C(O)c1cc(Br)ccc1Cl)c1ccc(Br)cc1
1412
+ CC(C(O)=Nc1cc(Br)ccc1Br)c1ccc(Cl)cc1
1413
+ CC(C(O)=Nc1cc(Cl)ccc1Br)c1ccc(Br)cc1
1414
+ C[C@H](N=C(O)c1cc(Br)ccc1Cl)c1ccc(F)cc1
1415
+ Cc1ccc(CN=C(O)c2cc(Cl)ccc2I)cc1F
1416
+ CC(N=C(O)c1cc(Cl)ccc1F)c1ccc(I)cc1
1417
+ CC(N=C(O)c1cc(Cl)ccc1I)c1ccc(F)cc1
1418
+ CC(N=C(O)c1cc(I)ccc1Cl)c1ccc(F)cc1
1419
+ CC(N=C(O)c1cc(I)ccc1F)c1ccc(Cl)cc1
1420
+ C[C@@H](N=C(O)c1cc(Cl)ccc1F)c1ccc(Br)cc1
1421
+ C[C@@H](N=C(O)c1cc(Br)ccc1Cl)c1ccc(F)cc1
1422
+ Clc1ccc(CN2CCN(c3ccc(Cl)c(Cl)c3)CC2)cc1
1423
+ Clc1ccc(C2CCN(Cc3ccc(Cl)c(Cl)c3)C2)c(Cl)c1
1424
+ Fc1ccc(C2CCN(Cc3ccc(F)c(Br)c3)C2)c(Cl)c1
1425
+ Fc1ccc(C2CCN(Cc3ccc(Cl)c(Br)c3)C2)c(F)c1
1426
+ Fc1ccc([C@@H]2CC[NH+](Cc3ccc(Br)c(Cl)c3)C2)cc1F
1427
+ Fc1ccc([C@@H]2CC[NH+](Cc3ccc(Br)c(F)c3)C2)c(Cl)c1
1428
+ Fc1ccc([C@@H]2CC[NH+](Cc3ccc(Cl)c(Br)c3)C2)c(F)c1
1429
+ Fc1ccc([C@@H]2CC[NH+](Cc3ccc(F)c(Br)c3)C2)c(Cl)c1
1430
+ Fc1ccc([C@@H]2CC[NH+](Cc3ccc(Br)c(Cl)c3)C2)c(F)c1
1431
+ Fc1ccc([C@@H]2CC[NH+](Cc3ccc(Br)c(Cl)c3)C2)c(Cl)c1
1432
+ Fc1ccc([C@@H]2CC[NH+](Cc3ccc(Cl)c(I)c3)C2)c(F)c1
1433
+ Fc1ccc(CN2CCC(c3ccc(Cl)cc3Cl)C2)cc1Cl
1434
+ Fc1cc(CN2CCC(c3ccc(Cl)cc3Cl)C2)ccc1Br
1435
+ Cc1ccn([C@H]2CCN(Cc3ccc(Cl)c(Cl)c3)C2=O)n1
1436
+ Fc1ccc(C[NH+]2CC[C@@H](c3ccc(Cl)cc3Cl)C2)cc1Cl
1437
+ Cc1ccc(-c2nc(Cc3ccc(Br)cc3F)no2)cc1Br
1438
+ Cc1ccc(Cc2nc(-c3ccc(Br)cc3F)no2)cc1Br
1439
+ Fc1ccc([C@@H]2CC[NH+](Cc3ccc(Cl)c(Cl)c3)C2)c(Cl)c1
1440
+ Cc1ccc(C(=O)N2CCN(c3ccc(Cl)cc3Cl)CC2)cn1
1441
+ Fc1cc(C[NH+]2CC[C@H](c3ccc(Cl)cc3Cl)C2)ccc1Cl
1442
+ Clc1ccc(N2CCN(c3ccc(Cl)cc3Br)CC2)cc1
1443
+ Clc1ccc(N2CCN(c3ccc(Br)cc3Cl)CC2)cc1
1444
+ Clc1ccc(N2CCN(c3ccc(Cl)cc3Cl)CC2)cc1
1445
+ FC(F)(F)C(c1ccc(Cl)cc1)c1ccc(Br)cc1
1446
+ Fc1ccc(N2CCC(c3ccc(Cl)cc3)CC2)c(Cl)c1
1447
+ Fc1ccc(N2CCN(c3ccc(Cl)cc3Cl)CC2)cc1
1448
+ OC(Cc1ccc(Br)cc1)=NCc1ccc(Cl)cc1Cl
1449
+ OC(Cc1ccc(Br)cc1Cl)=NCc1ccc(Cl)cc1
1450
+ OC(Cc1ccc(Cl)cc1)=NCc1ccc(Br)cc1Cl
1451
+ OC(Cc1ccc(Cl)cc1Cl)=NCc1ccc(Br)cc1
1452
+ OC(Cc1ccc(Cl)cc1)=NCc1cc(Br)ccc1Cl
1453
+ OC(Cc1cc(Br)ccc1Cl)=NCc1ccc(Cl)cc1
1454
+ OC(Cc1ccc(Cl)cc1)=NCc1ccc(Cl)cc1Br
1455
+ OC(Cc1ccc(Br)cc1)=NCc1cc(Cl)ccc1Cl
1456
+ OC(Cc1ccc(Cl)cc1)=NCc1cc(Cl)ccc1Br
1457
+ Fc1ccc(N2CCN(c3ccc(Cl)cc3Br)CC2)cc1
1458
+ Fc1ccc(N2CCN(c3ccc(Cl)cc3)CC2)c(Cl)c1
1459
+ OC(Cc1ccc(F)cc1)=NCc1ccc(I)cc1Cl
1460
+ OC(Cc1ccc(I)cc1)=NCc1ccc(F)cc1Cl
1461
+ OC(Cc1ccc(Cl)cc1)=NCc1ccc(F)cc1I
1462
+ Fc1ccc(C[NH2+][C@@H]2CC[C@@](F)(c3ccc(Cl)cc3)C2)cc1F
1463
+ Cc1ccc(C(=O)N2CCN(Cc3ccc(F)cc3)CC2)cc1I
1464
+ Clc1ccc(CN2CC[NH+](Cc3nnc4ccccn34)CC2)cc1Cl
1465
+ Cc1ccc(C(=O)NC2CCN(c3ccc(Cl)c(Cl)c3)CC2)cn1
1466
+ C[C@@H]1CN(C(=O)Nc2cc(-c3cc(F)ccc3F)no2)C[C@H](C)O1
1467
+ Cc1ccc(C(=O)N2CCN(Cc3ccc(Br)cc3)CC2)cc1F
1468
+ Cc1ccc(C(=O)N2CCN(Cc3ccc(F)cc3)CC2)cc1Br
1469
+ Cc1ccc(C(=O)NC2CCN(c3ccc(F)cc3)CC2)cc1Br
1470
+ Cc1ccc(NC(=O)N2CCC(c3ccc(F)cc3)CC2)cc1Br
1471
+ Cc1ccc(NC(=O)C2CCN(c3ccc(F)cc3)CC2)cc1Br
1472
+ Cc1ccc(C(=O)NC2CCN(c3ccc(Br)cc3)CC2)cc1F
1473
+ Cc1ccc(NC(=O)N2CCN(c3ccc(Br)cc3)CC2)cc1Cl
1474
+ Cc1ccc(C(=O)N[C@H]2CCCN(c3ccc(F)cc3)C2)cc1Cl
1475
+ Cc1ccc(NC(=O)N2CCC[C@H](c3ccc(F)cc3)C2)cc1Cl
1476
+ Cc1ccc(C(=O)N[C@H]2CCCN(c3ccc(Cl)cc3)C2)cc1F
1477
+ Cc1ccc(NC(=O)[C@H]2CCCN(c3ccc(F)cc3)C2)cc1Cl
1478
+ O=C1C[C@@H](C(=O)Nc2cc(-c3ccc(F)c(F)c3)[nH]n2)CCN1
1479
+ Cc1cc(NC(=O)C2CCN(c3ccc(F)cc3)CC2)ccc1F
1480
+ Cc1cc(C(=O)NC2CCN(c3ccc(F)cc3)CC2)ccc1F
1481
+ Cc1ccc(NC(=O)N2CCC(c3ccc(F)cc3)CC2)cc1F
1482
+ Ic1ccc(-c2n[nH]c(C3CCNCC3)n2)cc1
1483
+ Cc1nc(-c2cc(I)ccc2F)sc1CN
1484
+ Cc1nc(Cc2ccc(Cl)cc2F)sc1C
1485
+ Fc1ccc(CN2CC3CCNCC3C2)c(Br)c1
1486
+ Fc1ccc(CN2CCNC3CCCC32)c(Br)c1
1487
+ Brc1ccc(-c2nc(C3CCNCC3)n[nH]2)cc1
1488
+ Brc1ccc(-c2n[nH]c(C3CCNCC3)n2)cc1
1489
+ Brc1ccc(-c2nnc(C3CCNCC3)[nH]2)cc1
1490
+ Brc1ccc(-c2nnc(N3CCNCC3)o2)cc1
1491
+ Clc1ccc(CN2CCOC3CNCC32)c(Cl)c1
1492
+ O=C(C(Cl)c1ccc(Br)cc1)N1CCOCC1
1493
+ Brc1ccc(-c2nc(C3CCCCC3)n[nH]2)cc1
1494
+ Brc1ccc(-c2n[nH]c(C3CCCCC3)n2)cc1
1495
+ Clc1ccc(-c2nnc(N3CCOCC3)s2)cc1
1496
+ Clc1ccc(-c2nsc(N3CCOCC3)n2)cc1
1497
+ Cc1c(C(=O)N2CCCCC2)ccc(Cl)c1Cl
1498
+ Ic1ccc(-n2ccnc2C2CCNCC2)cc1
1499
+ Ic1ccc(-c2n[nH]c(C3CCCCC3)n2)cc1
1500
+ Fc1ccc(-c2noc(C3CCSCC3)n2)cc1
1501
+ Clc1ccc(-c2nnc(C3CCCCC3)s2)cc1
1502
+ O=C1CCc2cc(C(=O)N3CCC(c4ccc(Cl)cc4)CC3)ccc21
1503
+ Clc1ccc(OC2CN(Cc3nnc4ccccn34)C2)cc1
1504
+ CC1CCN(c2nnc(-c3ccc(Cl)cc3)n2CCC(F)(F)F)CC1
1505
+ Fc1ccc(N2CC3(CC[NH+](Cc4nnc5ccccn45)C3)C2)cc1
1506
+ Cc1nc(NC(=O)[C@@H](O)C(F)(F)F)sc1-c1ccc(F)cc1
1507
+ Clc1ccc(CNC2CC(c3nc4ccccc4s3)C2)cc1
1508
+ CN1CCN(c2nnc(-c3ccc(Cl)cc3)n2CCC(C)(C)O)CC1
1509
+ Cc1nc(C[NH2+][C@@H]2CCCC[C@@H]2F)sc1-c1ccc(Br)cc1
1510
+ Cc1ccc(C(=O)N2CCC(c3nc4c(s3)CCCC4)C2)cc1F
1511
+ Cc1ccc(-c2nnc(N=C(O)CSc3nc4ccccc4s3)s2)cc1
1512
+ Cc1ccc(N2CCN(C(=O)c3ccc4ncsc4c3)CC2=O)cc1
1513
+ N#Cc1ccc(NC(=O)[C@@H](c2ccc(F)cc2)C(F)(F)F)cc1
1514
+ Cc1cc(NC(=O)[C@@H](O)C(F)(F)F)nn1-c1ccc(F)cc1
1515
+ CCCC[NH+]1CCN(c2nnc(-c3ccc(Cl)cc3)n2CC)CC1
1516
+ O=C(Nc1ccc(Cl)cc1F)N1CC[C@H](n2cccn2)C1
1517
+ Cc1ccc(N2C3CCC2CN(Cc2nnc4ccccn24)C3)cc1
1518
+ [NH3+][C@H]1C[C@H](c2ccc(F)cc2)N(C(=O)c2cc(F)c(F)cc2F)C1
1519
+ O=C(c1ccc(F)c(Cl)c1)N1CC[C@H](Cn2cccn2)C1
1520
+ Cc1cc(C(=O)N2CC[C@@]3(CC[NH2+]C3)C2)n(-c2ccc(F)cc2)n1
1521
+ Cn1cc(C(=O)N2CC[C@@]3(CC[NH2+]C3)C2)c(-c2ccc(F)cc2)n1
1522
+ Fc1ccc2[nH]cc(C[NH+]3CC[C@@H](C4=CCOCC4)C3)c2c1
1523
+ Clc1ccc2[nH]cc(C[NH+]3CC[C@H](C4=CCOCC4)C3)c2c1
1524
+ Fc1ccc2nc(CN3CCC(C4=CCCCC4)C3)[nH]c2c1
1525
+ Fc1ccc2nc(C[NH+]3CCC[C@H](C4CCOCC4)C3)[nH]c2c1
1526
+ Fc1ccc2nc(C[NH+]3CCCO[C@@H](C4CCCC4)C3)[nH]c2c1
1527
+ Fc1ccc2nc(C[NH+]3CCOC[C@@H](C4CCCC4)C3)[nH]c2c1
1528
+ Cc1nc2ccc(C[NH+]3CC[C@@H](C4=CCOCC4)C3)cc2[nH]1
1529
+ Fc1ccc2nc(CN3CCC(C4=CCOCC4)C3)[nH]c2c1
1530
+ Cc1nc2ccc(C[NH+]3CC[C@H](C4=CCOCC4)C3)cc2[nH]1
1531
+ Cc1ccc2nc(CN3CC[C@@H](C4=CCCCC4)C3)[nH]c2c1
1532
+ Cc1nc2ccc(CN3CC[C@@H](C4CCCC4)C3=O)cc2[nH]1
1533
+ Cc1nc2ccc(C[NH+]3CCC[C@]4(CCNC4=O)C3)cc2[nH]1
1534
+ Cc1nc2cc(C[NH+]3CCC[C@]4(CCNC4=O)C3)ccc2[nH]1
1535
+ Brc1ccc2occ(C[NH+]3CC[C@@H](C4=CCOCC4)C3)c2c1
1536
+ Cc1nc2cc(C[NH+]3CCC[C@@]4(CCCC4=O)C3)ccc2[nH]1
1537
+ Cc1nc2ccc(C[NH+]3CCC[C@@]4(CCCC4=O)C3)cc2[nH]1
1538
+ Sc1nc2ccc(CN3CCCC(C4CCCCC4)C3)cc2[nH]1
1539
+ Cc1nc2ccc(C[NH+]3CC[C@@H](C)C4(CCC4)C3)cc2[nH]1
1540
+ CC(C)(C)C(=O)NCc1cc(Cl)c(F)cc1Br
1541
+ Cc1nc2cccc(C[NH+]3CCC[C@H](C4CCCCC4)C3)c2[nH]1
1542
+ C[C@@H]1CC[NH+](Cc2nnnn2-c2ccccc2)C[C@H]1F
1543
+ C[C@@H]1[NH2+]CCN(C(=O)c2csc(-c3ccccc3)n2)[C@@H]1C
1544
+ c1ccc(CN2CCn3nc(-c4ccccc4)nc3C2)cc1
1545
+ Clc1cc(I)cc(-c2noc(Cc3ccccc3)n2)c1
1546
+ c1ccc(-c2noc(-c3cnc(C4CCCCC4)s3)n2)cc1
1547
+ c1ccc(-c2cnc(-c3nc(C4CCCCC4)no3)s2)cc1
1548
+ Brc1ccc(-c2noc(Cc3ccccc3)n2)cc1Br
1549
+ O=C(CCCC(F)(F)F)N1CCN(c2nc3ccccc3s2)CC1
1550
+ c1ccc(-n2cc(C[NH+]3C[C@@H]4CC[C@@H](C4)C3)nn2)cc1
1551
+ c1ccc(N2CCN(Cc3nnc4ccccn34)CC2)cc1
1552
+ c1ccc(CN2CCN(c3nnc4ccccn34)CC2)cc1
1553
+ O=C(Cc1ccccc1)Nc1cc(Cl)c(F)cc1Br
1554
+ c1ccc(CN2CCN(c3nc4ccccc4s3)CC2)cc1
1555
+ c1ccc(N2CCN(Cc3nc4ccccc4s3)CC2)cc1
1556
+ c1ccc(N2CCN(Cc3ccc4ncsc4c3)CC2)cc1
1557
+ C[C@@H]1[NH2+]CCN(C(=O)c2csc(-c3ccccc3)n2)[C@H]1C
1558
+ c1ccc(-c2cc(C[NH+]3CC[C@H]4C[NH2+]CC[C@@H]4C3)no2)cc1
1559
+ Fc1ccc(-c2nc(Cc3ccccc3)no2)cc1I
1560
+ c1ccc(CN2CCC(c3nnc4ccccn34)CC2)cc1
1561
+ c1ccc(C2CCN(Cc3nnc4ccccn34)CC2)cc1
1562
+ FC(F)(F)c1nc2ccccc2n1CCCCBr
1563
+ CN1CCN(c2nc3ccccc3n2CCCF)CC1
1564
+ CN1CCN(c2nc3ccccc3n2CCCCl)CC1
1565
+ BrCCCCCn1c(N2CCCCCC2)nc2ccccc21
1566
+ CN1CCC(Cn2c(Cl)nc3ccccc32)CC1
1567
+ CN1CCN(c2nc3ccccc3n2CCCBr)CC1
1568
+ Clc1ccc(-c2nc3ccccc3n2CCCBr)cc1
1569
+ C[NH+]1CCN(c2nc3ccccc3n2CCCF)CC1
1570
+ N#CCCCn1c(N2CCCCCC2)nc2ccccc21
1571
+ Cn1nc(CN2CCCC(Cl)C2)c2ccccc21
1572
+ CN1CCN(c2nc3ccccc3n2CCCN)CC1
1573
+ CN1CCN(c2nc3ccccc3n2CC#N)CC1
1574
+ Fc1cccc(Cn2c(Cl)nc3ccccc32)c1
1575
+ Fc1ccc(Cn2c(Cl)nc3ccccc32)cc1
1576
+ CCCCn1c(N2CCSC[C@H]2C)nc2ccccc21
1577
+ CN1CCN(c2nc3ccccc3n2CCCS)CC1
1578
+ CC1CCN(c2nc3ccccc3n2CCCN)CC1
1579
+ CC1CCCN(c2nc3ccccc3n2CCCN)C1
1580
+ CC(Br)Cn1c(C2CCCCCC2)nc2ccccc21
1581
+ CC(Br)CCn1c(C2CCCCC2)nc2ccccc21
1582
+ Cc1ccc(C(=O)N2CCN(c3ccc(F)cc3F)CC2)cc1Cl
1583
+ Cc1ccc(N2CCN(C(=O)c3c(F)cc(F)cc3F)CC2)cc1
1584
+ Cc1ccc(N2CCN(C(=O)c3cc(F)c(F)cc3F)CC2)cc1
1585
+ Nc1cc(C(=O)N2CCN(c3ccc(F)cc3F)CC2)ccc1F
1586
+ N#Cc1cccc(C2CCN(C(=O)c3cc(Br)ccc3F)C2)c1
1587
+ Cc1ccc(C(=O)N2CC[C@H](c3cccc4[nH]ccc34)C2)cc1F
1588
+ Cc1nnc(SC[C@@H]2CCN(c3ccc(Br)cc3)C2)o1
1589
+ Cc1cc(C(=O)N2CCN(c3ccc(F)cc3)CC2)c(O)cc1F
1590
+ Cc1nnc(NC[C@H]2CCN(c3ccc(Br)cc3)C2)s1
1591
+ Cc1ccc(C(=O)N2CCN(c3ccc(F)c(F)c3)CC2)c(F)c1
1592
+ Cc1ccc(F)c(C(=O)N2CCN(c3ccc(F)c(F)c3)CC2)c1
1593
+ Cc1ncsc1C(=O)N1CC[C@@H](Cc2ccc(Br)cc2)C1
1594
+ Cc1nnc(SC[C@@H]2CCN(c3ccc(Cl)cc3)C2)s1
1595
+ O=C(NCc1ccc(Br)c(Cl)c1)c1ccc(Br)cc1
1596
+ Brc1ccc(-c2nc(C[NH2+][C@@H]3CC34CCC4)cs2)cc1
1597
+ Cc1ccc(C2CCN(CC(O)=NCc3ccc(Br)cc3)C2)cc1
1598
+ Cc1ccc(N2CCN(C(=O)c3ccc4c(c3)CCO4)CC2)cc1
1599
+ Fc1ccc(CN2CC[C@H](Cc3cccs3)C2)cc1F
1600
+ Clc1ccc(N2CC[C@H]([NH2+]Cc3ccc(Cl)s3)C2)cc1
1601
+ O=C(NCc1ccc(Cl)c(Br)c1)c1ccc(Cl)cc1
1602
+ CCc1nc(C)c(C(O)=Nc2ccc(Cl)c(Br)c2)s1
1603
+ CCc1nc(C)c(C(O)=Nc2ccc(Cl)c(Cl)c2)s1
1604
+ CCc1nc(C)c(C(O)=Nc2ccc(Cl)c(F)c2)s1
1605
+ CCc1nc2ccc(C(O)=Nc3cccc(Cl)c3)cc2[nH]1
1606
+ NCc1nc2ccc3cc([nH]1)C=C(Br)C=CC=C2N=C3O
1607
+ CN(C)c1c(F)cc(C(O)=Nc2ccc(Cl)nc2)cc1F
1608
+ CCCCc1cc(Cl)c(C(O)=Nc2ccc(F)cc2)cn1
1609
+ COc1c(F)cc(C(O)=Nc2ccc(Br)cc2C)cc1Cl
1610
+ CCc1nc(C)c(C(O)=Nc2ccc(C)c(Cl)c2)s1
1611
+ O=C(O)C1CCC(c2ccc(F)cc2F)C(Br)C1
1612
+ O=C(c1ccc(Br)cc1Br)C1CC[S+]([O-])CC1
1613
+ CCCc1cc(Cl)c(C(O)=Nc2ccc(C)cc2)cc1F
1614
+ CCc1nc2ccc3cc([nH]1)C=C(Br)C=CC=C2N=C3O
1615
+ CCc1nc2ccc3cc([nH]1)C=CC(Cl)=CC=C2N=C3O
1616
+ CCc1nc(C)c(C(O)=Nc2ccc(Cl)c(N)c2)s1
1617
+ CC(=O)N1CCC(c2ccc(Cl)cc2Cl)C(C)C1
1618
+ CC(=O)N1CCC(c2ccc(Br)cc2F)C(C)C1
1619
+ O=C1CCC(C(=O)c2ccc(Br)cc2Cl)CC1
1620
+ CN1CCCC(C(=O)c2ccc(Cl)cc2Cl)CC1
1621
+ CC(=O)N1CCCC(c2ccc(Cl)cc2Cl)CC1
1622
+ CC(C(O)=Nc1cc(Br)ccc1Cl)c1ccc(Br)cc1
1623
+ CC(C(O)=Nc1ccc(Br)cc1Cl)c1ccc(Br)cc1
1624
+ CC(C(O)=Nc1cc(Br)ccc1Br)c1ccc(Cl)cc1
1625
+ CC(C(O)=Nc1ccc(Cl)cc1F)c1ccc(I)cc1
1626
+ CC(N=C(O)c1cc(F)ccc1Br)c1ccc(Cl)cc1
1627
+ CC(C(O)=Nc1ccc(Br)cc1Cl)c1ccc(F)cc1
1628
+ CC(C(O)=Nc1cc(F)ccc1Br)c1ccc(Cl)cc1
1629
+ CC(C(O)=Nc1ccc(Br)cc1F)c1ccc(Cl)cc1
1630
+ CC(N=C(O)c1cc(Br)ccc1F)c1ccc(Cl)cc1
1631
+ CC(C(O)=Nc1cc(Br)ccc1Cl)c1ccc(F)cc1
1632
+ CC(C(O)=Nc1ccc(F)cc1Cl)c1ccc(Br)cc1
1633
+ CC(C(O)=Nc1ccc(F)cc1Br)c1ccc(Cl)cc1
1634
+ CC(C(O)=Nc1ccc(Cl)cc1F)c1ccc(Br)cc1
1635
+ CC(C(O)=Nc1ccc(Cl)cc1Br)c1ccc(F)cc1
1636
+ CC(C(O)=Nc1cc(Cl)ccc1F)c1ccc(Br)cc1
1637
+ CC(C(O)=Nc1cc(Cl)ccc1Cl)c1ccc(Br)cc1
1638
+ CC(C(O)=Nc1cc(Cl)ccc1Br)c1ccc(Cl)cc1
1639
+ CC(C(O)=Nc1ccc(Br)cc1Cl)c1ccc(Cl)cc1
1640
+ CC(C(O)=Nc1ccc(Cl)cc1Cl)c1ccc(Br)cc1
1641
+ CC(N=C(O)c1cc(Br)ccc1Cl)c1ccc(Cl)cc1
1642
+ Clc1ccc(N2CCN(c3nc4ccccc4s3)CC2)nc1
1643
+ Brc1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)nc1
1644
+ Fc1ccc(N2CCN(c3cc4[nH]cnc4cn3)CC2)cc1
1645
+ Fc1ccc(N2CCN(c3cccc4n[nH]nc34)CC2)cc1
1646
+ Brc1ccc(N2CCN(c3nc4ccccc4s3)CC2)nc1
1647
+ Ic1ccc(N2CCN(c3nc4ccccc4s3)CC2)cc1
1648
+ Clc1ccc(N2CCC(n3nnc4ccccc43)CC2)nc1
1649
+ Brc1ccc2[nH]c(-c3ccc(N4CCCCC4)nc3)nc2c1
1650
+ Brc1ccc2nc(-c3ccc(N4CCCCC4)nc3)[nH]c2c1
1651
+ CC(C)(C)C1CCC(n2c(S)nc3ccccc32)CC1
1652
+ Brc1ccc2[nH]c(-c3ccc(N4CCNCC4)cc3)nc2c1
1653
+ Brc1ccc(-c2nc3cc(N4CCNCC4)ccc3[nH]2)cc1
1654
+ Clc1ccc(-c2ccc3c(N4CCCC4)ncnc3c2)cc1
1655
+ Ic1ccc(N2CCC(n3nnc4ccccc43)CC2)cc1
1656
+ O=S1(=O)CCN(c2ccc(-c3ccc(Br)cc3)nn2)C1
1657
+ Ic1ccc(N2CCN(c3ccc4nc[nH]c4c3)CC2)cc1
1658
+ Cc1ccc(N2CCN(c3c(F)cccc3Br)C2=O)cc1
1659
+ Brc1ccc2nc(-c3ccc(N4CCNCC4)cc3)sc2c1
1660
+ Brc1ccc(-c2nc3ccc(N4CCNCC4)cc3s2)cc1
1661
+ Fc1ccc(N2CCN(c3nc4ccccc4[nH]3)CC2)cc1
1662
+ Cc1ccc2nc(N3CCN(C(=O)c4cccc(Cl)c4)CC3)sc2c1
1663
+ Cc1nc2ccc(C(=O)N3CCN(c4ccc(Cl)cc4)CC3)cc2s1
1664
+ Cc1nc2cc(C(=O)N3CCN(c4ccc(Cl)cc4)CC3)ccc2s1
1665
+ Nc1nc2ccc(C(=O)N3CCN(c4ccc(F)cc4)CC3)cc2[nH]1
1666
+ Cc1nc2cc(C(=O)N3CCN(c4ccc(Cl)cc4)CC3)ccc2[nH]1
1667
+ Cc1nc2ccc(C(=O)N3CCN(c4ccc(Cl)cc4)CC3)cc2[nH]1
1668
+ Cc1nc2ccc(C(=O)N3CCN(c4cccc(Cl)c4)CC3)cc2[nH]1
1669
+ Cc1nc2cc(C(=O)N3CCN(c4cccc(Cl)c4)CC3)ccc2[nH]1
1670
+ Cc1ccc2cc(C(=O)N3CCN(c4ccc(Cl)cc4)CC3)sc2c1
1671
+ Cc1nc2cc(C(=O)N3CCN(c4ccc(F)cc4)CC3)ccc2[nH]1
1672
+ Cc1nc2ccc(C(=O)N3CCN(c4ccc(F)cc4)CC3)cc2[nH]1
1673
+ Cc1nc2ccc(C(=O)N3CCN(c4cccc(F)c4)CC3)cc2[nH]1
1674
+ Cc1nc2c(C(=O)N3CCN(c4ccc(F)cc4)CC3)cccc2[nH]1
1675
+ Cc1nc2cc(C(=O)N3CCN(c4cccc(F)c4)CC3)ccc2[nH]1
1676
+ Cc1nc2cccc(C(=O)N3CCN(c4ccc(F)cc4)CC3)c2[nH]1
1677
+ Cc1nc2ccc(C(=O)N3CCC(c4ccc(F)cc4)CC3)cc2[nH]1
1678
+ Cc1nc2cc(C(=O)N3CCC(c4ccc(F)cc4)CC3)ccc2[nH]1
1679
+ Cc1ccc2nc(C3CCN(C(=O)c4ccc(F)cc4)CC3)[nH]c2c1
1680
+ Cn1ncc2ccc(C(=O)N3CCN(c4ccc(Cl)cc4)CC3)cc21
1681
+ Cc1nc2ccc(C(=O)N3CCC(c4ccc(F)cc4)CC3)cc2s1
1682
+ OC(Cc1ccc(F)c(Br)c1)=Nc1ccc(I)cc1Cl
1683
+ Nc1ccc(Cl)c(N=C(O)Cc2ccc(F)c(I)c2)c1
1684
+ OC(Cc1ccc(Cl)c(Cl)c1)=Nc1ccc(Br)cc1F
1685
+ Nc1ccc(N=C(O)Cc2ccc(F)c(Cl)c2)c(F)c1
1686
+ OC(=NCCc1ccc(Cl)c(F)c1)c1ccc(Cl)cn1
1687
+ OC(Cc1ccc(F)c(F)c1)=Nc1ccc(Cl)cc1Cl
1688
+ OC(Cc1ccc(Cl)c(Cl)c1)=Nc1ccc(F)cc1F
1689
+ OC(Cc1ccc(Cl)c(F)c1)=Nc1cc(Cl)ccc1F
1690
+ OC(Cc1ccc(Cl)c(F)c1)=Nc1ccc(Cl)cc1F
1691
+ Cc1cc(Br)ccc1N=C(O)Cc1ccc(Cl)c(Cl)c1
1692
+ CC1CCCN(C(O)=NCCc2ccc(Cl)c(Cl)c2)C1
1693
+ NC1CCCN(C(=O)c2ccc(I)c(Cl)c2)C1
1694
+ Cc1ccc(N=C(O)Cc2ccc(F)c(F)c2)c(Cl)c1
1695
+ Cc1ccc(Cl)c(N=C(O)Cc2ccc(F)c(F)c2)c1
1696
+ Cc1ccc(Br)cc1N=C(O)Cc1ccc(F)c(Cl)c1
1697
+ OC(=NCCc1ccc(F)c(Br)c1)c1ccc(Cl)cc1
1698
+ Cc1cc(CC(O)=Nc2ccc(Cl)cc2F)ccc1Cl
1699
+ CCn1c(S)nnc1-c1ccc(Cl)c(Cl)c1
1700
+ Nc1ccc(N=C(O)Cc2ccc(Cl)c(F)c2)c(Cl)c1
1701
+ OC(Cc1ccc(F)c(F)c1)=Nc1ccc(Cl)cc1Br
thompson_beam_cvar/oracle_progress.csv ADDED
@@ -0,0 +1,197 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,n_oracle_calls,calls_this_epoch,f_star,spearman_rho,mean_sigma,tau
2
+ 0,25,25,-0.82844,1.0,nan,-0.9662
3
+ 1,50,25,-0.49432,0.9273,0.010605,-0.9555
4
+ 2,75,25,-0.407227,0.9464,0.008938,-0.8115
5
+ 3,100,25,-0.304067,0.9955,0.014828,-0.5145
6
+ 4,111,11,-0.239374,0.9898,0.011993,-0.4577
7
+ 5,136,25,-0.030315,0.9805,0.018372,-0.4086
8
+ 6,161,25,-0.030315,0.9732,0.017707,-0.4166
9
+ 7,186,25,-0.030315,0.9877,0.015121,-0.4081
10
+ 8,211,25,-0.030315,0.9914,0.012995,-0.3914
11
+ 9,236,25,-0.030315,0.9825,0.028308,-0.4072
12
+ 10,260,24,-0.030315,0.9472,0.018576,-0.3974
13
+ 11,285,25,-0.030315,0.983,0.058454,-0.3957
14
+ 12,300,15,-0.030315,0.9693,0.021843,-0.3875
15
+ 13,311,11,-0.030315,0.9672,0.029533,-0.3886
16
+ 14,336,25,-0.030315,0.9868,0.019713,-0.3941
17
+ 15,361,25,-0.030315,0.9876,0.019792,-0.3914
18
+ 16,386,25,-0.030315,0.9913,0.0215,-0.3941
19
+ 17,411,25,-0.030315,0.9808,0.022461,-0.3941
20
+ 18,436,25,-0.030315,0.9859,0.022507,-0.3941
21
+ 19,461,25,-0.030315,0.9837,0.0249,-0.389
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thompson_cvar/results.json ADDED
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uncond_baseline/README.md ADDED
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1
+ # uncond_baseline
2
+
3
+ ## Summary
4
+ - **Best FA**: -0.800
5
+ - **Oracle calls**: 75,375
6
+ - **Method**: Unconditional generation baseline
7
+
8
+ ## Algorithm
9
+ Pure unconditional sampling from the base GenMol model — no guidance, no fine-tuning.
10
+ Evaluates all generated molecules with FA oracle.
11
+ Best seen during run was -0.882; final best recorded is -0.800.
12
+
13
+ ## Files
14
+ - oracle_timeline.jsonl, results.json
uncond_baseline/metrics.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "method": "uncond",
3
+ "sampler": "uncond",
4
+ "finetune": "none",
5
+ "guide_reward": "none",
6
+ "start_time": "2026-03-24T05:41:57.625937",
7
+ "end_time": "2026-03-24T09:41:57.729557",
8
+ "wall_sec": 14400.1,
9
+ "reward_calls": 75375,
10
+ "forward_passes": 0,
11
+ "validity": 1.0,
12
+ "uniqueness": 1.0,
13
+ "qed_mean": 0.7626563158130667,
14
+ "qed_top10": 0.9232481634143833,
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+ "qed_max": 0.9483057092043371,
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+ "num_samples": 60423,
17
+ "oracle_mean": -1.604052,
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+ "oracle_top10": -0.904654,
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+ "oracle_best": -0.799552,
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+ "oracle_n_scored": 75375,
21
+ "oracle_logged": true
22
+ }
uncond_baseline/samples.csv ADDED
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