run: name: multifidelity_regularized output_dir: results/multifidelity_regularized random_seed: 20260416 budgets: [50, 100, 150, 200, 250, 300, 400, 500, 750, 1000, 1500, 2000, 2500, 5000, 10000] haddock_budgets: [250] dynamic_predock_batch_size: 256 dynamic_predock_max_batches: 4 dynamic_predock_flush_every_batches: 1 wall_time_per_dock: 0.5 max_wall_time_seconds: 7200 n_baseline_seeds: 3 allow_resume: true parameters: max_budget: 10000 min_budget: 100 epsilon_quality_target: 0.10 time_importance: 0.6 shortlist_fraction: 0.35 haddock_shortlist_size: 4 stopping: target_rank_percentile: 1.0 peak_patience: 32 min_improvement_delta: 0.02 exploration: stagnation_patience: 20 diversity_boost_strength: 0.5 dominant_window: 128 uncertainty: uncertainty_low_threshold: 0.35 uncertainty_patience: 32 expected_gain_threshold: 0.03 backend: require_real_backend: true rdock: n_runs: 1 mapper_radius: 6.0 command_timeout_seconds: 20 parallel_jobs: auto-minus-4 allow_skip_failed_ligands: true max_failed_ligands: 3000 haddock: enabled: false command_timeout_seconds: 90 haddock_env_bin_dir: .venv_haddock/bin disk_guard: min_free_gb: 10.0 projected_output_gb: 3.0 keep_raw_batches: 4 datasets: A: name: dataset_A target_name: EGFR target_path: data/targets/budget_efficiency_benchmark_A/egfr_4wkq.pdb shared_library_path: data/ligands/budget_efficiency_benchmark_A/shared_library_shuffled.csv predock_master_path: results/budget_efficiency_benchmark/dataset_A/bootstrap/predock/parsed_scores_master.csv adaptive_no_stop_run_path: results/budget_efficiency_benchmark/dataset_A/replay_cache/dataset_A__adaptive_no_stop__ti0.50__evaluated.csv naive_glob: results/budget_efficiency_benchmark/dataset_A/replay_cache/dataset_A__naive_random_s*__evaluated.csv cluster_glob: results/budget_efficiency_benchmark/dataset_A/replay_cache/dataset_A__cluster_naive_s*__evaluated.csv B: name: dataset_B target_name: ABL1 target_path: data/targets/budget_efficiency_benchmark_B/abl1_1iep.pdb shared_library_path: data/ligands/budget_efficiency_benchmark_B/shared_library_shuffled.csv predock_master_path: results/budget_efficiency_benchmark/dataset_B/bootstrap/predock/parsed_scores_master.csv adaptive_no_stop_run_path: results/budget_efficiency_benchmark/dataset_B/replay_cache/dataset_B__adaptive_no_stop__ti0.50__evaluated.csv naive_glob: results/budget_efficiency_benchmark/dataset_B/replay_cache/dataset_B__naive_random_s*__evaluated.csv cluster_glob: results/budget_efficiency_benchmark/dataset_B/replay_cache/dataset_B__cluster_naive_s*__evaluated.csv C: name: dataset_C target_name: MDM2 target_id: mdm2_mf_c target_pdb: "4HG7" target_path: data/targets/multifidelity_benchmark_C/mdm2_4hg7.pdb reference_id: ref_nutlin3a_c reference_name: Nutlin-3a ligand_comp_id: NUT reference_smiles: "CC1=C(C(C)=NN1)C2=CC=C(C=C2)C3=NC(C)(C)C4=CC(Cl)=CC(Cl)=C34" benchmark_dataset: output_dir: data/ligands/multifidelity_benchmark_C target_size: 10000 shuffle_seed: 909001 reuse_existing: false min_similarity_keep: 0.0 pubchem_max_records: 20000 pubchem_thresholds: [95, 92, 90, 88, 85, 82, 80, 77, 75, 72, 70, 67, 65, 62, 60, 57, 55, 52, 50, 47, 45, 42, 40, 37, 35] chembl_target_id: CHEMBL5023 chembl_max_rows: 40000 allow_generated_fallback: true D: name: dataset_D target_name: CDK2 target_id: cdk2_mf_d target_pdb: "1H1Q" target_path: data/targets/multifidelity_benchmark_D/cdk2_1h1q.pdb reference_id: ref_stauro_d reference_name: Staurosporine ligand_comp_id: STU benchmark_dataset: output_dir: data/ligands/multifidelity_benchmark_D target_size: 10000 shuffle_seed: 909101 reuse_existing: true min_similarity_keep: 0.0 pubchem_max_records: 20000 pubchem_thresholds: [95, 92, 90, 88, 85, 82, 80, 77, 75, 72, 70, 67, 65, 62, 60, 57, 55, 52, 50, 47, 45, 42, 40, 37, 35] chembl_target_id: CHEMBL301 chembl_max_rows: 40000 allow_generated_fallback: true