#!/usr/bin/env python3 from __future__ import annotations import argparse import csv from pathlib import Path MANUAL_CANDIDATES = [ { "pdb_id": "1IEP", "receptor_chain": "A", "ligand_resname": "STI", "ligand_chain": "A", "ligand_id": "STI", "ligand_smiles": "CC1=NC(NC2=CC(=C(C=C2)Cl)NC3=NC=CC(=N3)C4=CN=CC=C4)=CC(=N1)N", "pubchem_cid": "5291", "ligand_heavy_atoms": 41, "ligand_mw": 493.6, "estimated_pubchem_hits_0.99_0.30": 650000, "notes": "Heuristic large-chemotype kinase inhibitor candidate; requires server-side validation of crawl volume.", "recommended": True, }, { "pdb_id": "3PTB", "receptor_chain": "A", "ligand_resname": "BEN", "ligand_chain": "A", "ligand_id": "BEN", "ligand_smiles": "c1(ccccc1)C(=N)N", "pubchem_cid": "2332", "ligand_heavy_atoms": 9, "ligand_mw": 120.15, "estimated_pubchem_hits_0.99_0.30": 550000, "notes": "Empirically validated PubChem crawl to 50k on local machine; ligand is small so pocket chemistry is broad but benchmark realism is weaker.", "recommended": True, }, { "pdb_id": "4WKQ", "receptor_chain": "A", "ligand_resname": "IRE", "ligand_chain": "A", "ligand_id": "IRE", "ligand_smiles": "", "pubchem_cid": "", "ligand_heavy_atoms": 28, "ligand_mw": 430.0, "estimated_pubchem_hits_0.99_0.30": 7000, "notes": "Observed narrow chemotype in current pipeline; not suitable for very large similarity benchmark.", "recommended": False, }, { "pdb_id": "4HG7", "receptor_chain": "A", "ligand_resname": "NUT", "ligand_chain": "A", "ligand_id": "NUT", "ligand_smiles": "", "pubchem_cid": "", "ligand_heavy_atoms": 33, "ligand_mw": 500.0, "estimated_pubchem_hits_0.99_0.30": 0, "notes": "Current PubChem similarity path was unstable for this ligand in prior tests.", "recommended": False, }, ] def build_parser() -> argparse.ArgumentParser: parser = argparse.ArgumentParser(description="Write a TSV of candidate PDB ligand complexes for large PubChem similarity crawls.") parser.add_argument("--out", required=True) parser.add_argument("--max-candidates", type=int, default=50) parser.add_argument("--min-heavy-atoms", type=int, default=15) parser.add_argument("--max-heavy-atoms", type=int, default=60) parser.add_argument("--min-estimated-hits", type=int, default=500000) return parser def main() -> int: args = build_parser().parse_args() out = Path(args.out) out.parent.mkdir(parents=True, exist_ok=True) rows = [] for row in MANUAL_CANDIDATES: item = dict(row) heavy = int(item["ligand_heavy_atoms"]) hits = int(item["estimated_pubchem_hits_0.99_0.30"]) if heavy < int(args.min_heavy_atoms) or heavy > int(args.max_heavy_atoms): item["recommended"] = False item["notes"] += " Filtered by heavy atom window." if hits < int(args.min_estimated_hits): item["recommended"] = False item["notes"] += " Estimated hit count below requested large-run threshold." rows.append(item) rows = rows[: max(1, int(args.max_candidates))] with out.open("w", encoding="utf-8", newline="") as handle: writer = csv.DictWriter( handle, fieldnames=[ "pdb_id", "receptor_chain", "ligand_resname", "ligand_chain", "ligand_id", "ligand_smiles", "pubchem_cid", "ligand_heavy_atoms", "ligand_mw", "estimated_pubchem_hits_0.99_0.30", "notes", "recommended", ], delimiter="\t", ) writer.writeheader() writer.writerows(rows) print(out) return 0 if __name__ == "__main__": raise SystemExit(main())