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+ # Column guide
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+
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+ ## `data/models.parquet`
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+
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+ ### Identity and files
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+
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+ | Columns | Meaning |
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+ |---|---|
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+ | `model_id` | Stable model key. |
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+ | `method_id`, `method`, `source_group` | Method family, display name, and source tranche. |
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+ | `ligand_id`, `seed_ordinal`, `native_seed`, `sample_index`, `native_sample_index` | Model grid identifiers. |
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+ | `structure_archive`, `structure_member` | Archive and member containing the aligned CIF. |
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+ | `coordinate_sha256`, `aligned_structure_sha256` | Native-source and aligned-CIF hashes. |
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+ | `source_coordinate_format`, `source_coordinate_bytes`, `aligned_structure_bytes` | Coordinate format and sizes. |
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+
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+ ### Confidence and geometry
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+
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+ | Columns | Meaning |
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+ |---|---|
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+ | `protein_ligand_iptm`, `iptm_source_key` | Protein–ligand iPTM and the engine-native field used. |
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+ | `dist_<RES1>_<RES2>_sidechain_centroid_a` | Side-chain centroid distance, Å. |
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+ | `dist_<RES1>_<RES2>_ca_a` | Cα distance, Å. |
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+ | `alignment_rmsd_to_1nrl_a` | RMSD of the governed 162-Cα alignment. |
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+ | `alignment_rotation_json`, `alignment_translation_json` | Rigid transform applied to the source model. |
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+ | `model_ligand_centroid_[xyz]` | Ligand centroid in the aligned frame. |
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+ | `ligand_centroid_distance_to_truth_a` | Truth-relative ligand-centroid distance, Å. |
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+ | `protein_strict_core_rmsd_to_truth_a` | Truth-relative receptor-core RMSD, Å. |
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+
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+ ### Official OpenStructure fields
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+
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+ `official_ost_lddt_pli`, `official_ost_lddt_lp`, `official_ost_bisyrmsd_a`, and `official_ost_bb_rmsd_a` are official scorer outputs. The adjacent `status`, `state`, `state_label`, contact-count, mapped-residue, chain-mapping, route, and graph-normalization columns describe scorer coverage and provenance.
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+
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+ ### Prepared chemistry and contacts
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+
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+ | Columns | Meaning |
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+ |---|---|
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+ | `ligand_state_status` | Generation-state provenance status. |
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+ | `chemistry_feature_status`, `chemistry_feature_error` | Prepared-top chemistry feature outcome. |
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+ | `ligand_mapping_status`, `ligand_mapping_mode` | Authoritative graph-to-coordinate mapping outcome. |
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+ | `authoritative_*_bond_distance_a`, `authoritative_bad_bonded_distances` | Bonded-distance mapping audit. |
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+ | `ligand_pose_mmff_*`, `ligand_strain_*`, `strain_baseline_energy_kcal_mol` | MMFF94s pose energy and conformer-baseline strain. |
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+ | `prolif_status`, `prolif_protocol`, `prolif_total_interactions`, `prolif_contact_residue_count` | ProLIF outcome and totals. |
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+ | `prolif_count_<interaction>` | Count by interaction type. |
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+ | `prolif_contacts_json` | Residue-level interaction counts. |
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+
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+ ### PoseBusters summary
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+
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+ `posebusters_result_status`, `posebusters_pass_all_configured_checks`, `posebusters_n_failed`, and `posebusters_failed_checks` summarize the run. The remaining PoseBusters boolean columns are individual checks: true is pass, false is fail, and null means not run.
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+
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+ ## `data/posebusters_full.parquet`
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+
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+ This contains the raw full-report diagnostics plus staging provenance.
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+
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+ | Column group | Meaning |
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+ |---|---|
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+ | `mol_pred_sha256`, `mol_cond_sha256` | Exact staged ligand and receptor hashes. |
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+ | `authoritative_prepared_smiles`, `authoritative_formal_charge`, `atom_assignment_mode` | Topology and atom mapping used for staging. |
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+ | `authoritative_min_bond_distance_a`, `authoritative_max_bond_distance_a` | Mapped ligand bond-length extremes, Å. |
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+ | `ligand_coordinate_max_abs_delta_a`, `receptor_pdb_rounding_max_abs_delta_a` | Coordinate changes introduced by staging. |
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+ | `mol_pred_loaded` through `volume_overlap_with_waters` | PoseBusters pass/fail checks. |
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+ | `number_*`, `shortest_*`, `longest_*`, `most_extreme_*` | Raw bond, angle, clash, planarity, and contact diagnostics. |
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+ | `mol_pred_energy`, `ensemble_avg_energy`, `energy_ratio` | Internal-energy diagnostics. |
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+ | `smallest_distance_<partner>`, `volume_overlap_<partner>` | Raw protein/cofactor/water proximity diagnostics. |
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+ | `posebusters_*` | Derived status, failed-check list, software version, and protocol. |
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+
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+ ## Lookup tables
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+
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+ `data/ligands.parquet` contains ligand SMILES, prepared state, charge, molecular weight, and class. `data/truth_structures.parquet` contains reference hashes, archive members, alignment fields, ligand-centroid fields, and the strict-core coordinates used for truth-relative comparisons.
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+
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+ }
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+ ],
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+ "created_at": "2026-07-28T13:22:14Z",
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+ "gates": {
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+ "archive_hash_panel_25": true,
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+ "archive_model_member_exact_set": true,
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+ "ligands_184_unique": true,
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+ "methods_18400_each": true,
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+ "models_92000_unique": true,
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+ "no_absolute_machine_paths": true,
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+ "license_scope": "tables, generated/aligned structures, truth-relative metrics, aligned truth structures, packaging, and documentation",
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+ "package_root": ".",
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+ "repository_id": "dargason/structure184-five-method-cofolding",
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+ "schema_version": "structure184_hf_package.v1",
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+ "source_data_versions": [
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+ "structure184_five_method_preparedtop_1nrl_20260723_v1",
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+ "structure184_five_method_preparedtop_analysis_core_20260725_v1",
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+ "structure184_five_method_posebusters_full_20260727_v1"
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+ ],
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+ "status": "PASS",
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+ "table_info": {
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+ "ligands_rows": 184,
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+ "models_columns": 119,
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+ "models_rows": 92000,
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+ "truth_rows": 184
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+ },
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+ "upload_performed": false
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+ }
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1
+ ---
2
+ license: cc-by-4.0
3
+ language:
4
+ - en
5
+ tags:
6
+ - protein-ligand
7
+ - structural-biology
8
+ - drug-discovery
9
+ - PXR
10
+ - cofolding
11
+ - PoseBusters
12
+ pretty_name: Structure184 Five-Method PXR Cofolding Dataset
13
+ size_categories:
14
+ - 10K<n<100K
15
+ configs:
16
+ - config_name: models
17
+ data_files:
18
+ - split: models
19
+ path: data/models.parquet
20
+ - config_name: posebusters_full
21
+ data_files:
22
+ - split: models
23
+ path: data/posebusters_full.parquet
24
+ - config_name: ligands
25
+ data_files:
26
+ - split: ligands
27
+ path: data/ligands.parquet
28
+ - config_name: truth_structures
29
+ data_files:
30
+ - split: structures
31
+ path: data/truth_structures.parquet
32
+ ---
33
+
34
+ # Structure184 five-method PXR cofolding dataset
35
+
36
+ This repository contains 92,000 PXR–ligand cofolded models:
37
+
38
+ - 184 ligands
39
+ - 20 seed positions
40
+ - 5 samples per seed
41
+ - Boltz2, Chai-1, ESMFold2, OpenFold3, and Protenix
42
+ - 18,400 models per method
43
+
44
+ Models use the governed prepared top solution-state ligand representation. Coordinates are harmonized to the 1NRL PXR frame using a 162-Cα core. The original generated coordinates are preserved up to that rigid alignment.
45
+
46
+ ## Repository contents
47
+
48
+ | Path | Contents |
49
+ |---|---|
50
+ | `data/models.parquet` | Primary 92,000-row table: identifiers, confidence, structural metrics, OpenStructure scores, chemistry features, ProLIF, and compact PoseBusters status. |
51
+ | `data/posebusters_full.parquet` | Full PoseBusters 0.6.5 report for 91,734 topology-safe models. |
52
+ | `data/ligands.parquet` | One row per ligand and prepared state. |
53
+ | `data/truth_structures.parquet` | Reference-structure metadata. |
54
+ | `structures/<method>.tar.zst` | Aligned model CIFs, one archive per method. |
55
+ | `structures/truth_structures.tar.zst` | Aligned reference structures. |
56
+ | `COLUMN_GUIDE.md` | Concise column descriptions. |
57
+ | `MANIFEST.json` and `checksums.sha256` | Counts, sizes, and SHA-256 checksums. |
58
+
59
+ `models.parquet` has 119 columns. `structure_archive` and `structure_member` locate each CIF.
60
+
61
+ ## Load the tables
62
+
63
+ ```python
64
+ from datasets import load_dataset
65
+
66
+ models = load_dataset("dargason/structure184-five-method-cofolding", "models", split="models")
67
+ posebusters = load_dataset("dargason/structure184-five-method-cofolding", "posebusters_full", split="models")
68
+ ```
69
+
70
+ Or with pandas:
71
+
72
+ ```python
73
+ import pandas as pd
74
+
75
+ models = pd.read_parquet("hf://datasets/dargason/structure184-five-method-cofolding/data/models.parquet")
76
+ ```
77
+
78
+ ## Extract structures
79
+
80
+ ```bash
81
+ tar --use-compress-program=unzstd -xf structures/boltz2.tar.zst
82
+ ```
83
+
84
+ Archive members follow `method/ligand_id/model_id.cif`. Join them through `structure_member`.
85
+
86
+ ## PoseBusters
87
+
88
+ PoseBusters was recomputed from scratch using generated ligand coordinates, authoritative prepared-state topology, and generated receptor coordinates.
89
+
90
+ - Computed: 91,734
91
+ - Explicit topology quarantine: 266
92
+ - Passed all configured checks: 75,668
93
+ - Failed one or more configured checks: 16,066
94
+
95
+ Quarantined rows remain in `models.parquet` with `posebusters_result_status=not_run_topology_quarantine`.
96
+
97
+ ## Important interpretation notes
98
+
99
+ - PoseBusters is physical-validity QC, not pose-accuracy evidence.
100
+ - `protein_ligand_iptm` is the primary model-native confidence field; `iptm_source_key` records the engine-specific source.
101
+ - Columns beginning `official_ost_`, plus truth-relative RMSD and centroid-distance fields, are evaluation labels. Do not use them as blind model-selection inputs.
102
+ - ESMFold2 models are the campaign's no-MSA, 50-step protocol, not upstream-default ESMFold2.
103
+ - The public tables remove machine-local paths. File hashes and source-group identifiers are retained.
104
+ - This release does not claim that every engine parameter can be reconstructed from the public tables alone.
105
+
106
+ ## Source and attribution
107
+
108
+ The ligand set and challenge context come from the [OpenADMET PXR Induction Blind Challenge](https://openadmet.ghost.io/announcing-the-next-openadmet-blind-challenge-predicting-pxr-induction/) and its [public challenge dataset](https://huggingface.co/datasets/openadmet/pxr-challenge-train-test). Please cite the OpenADMET challenge and this dataset repository when using these models or derived tables.
109
+
110
+ ## Repository size
111
+
112
+ The packaged repository is approximately 4.6 GB compressed. The Parquet tables and `.tar.zst` structure archives are configured for Git LFS through `.gitattributes`.
113
+
114
+ ## License
115
+
116
+ The tables, generated/aligned structures, truth-relative metrics, aligned truth structures, packaging, and documentation in this repository are provided under CC BY 4.0. Model-generating software remains under its respective license. See `LICENSE`.
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