| from __future__ import annotations |
|
|
| import argparse |
| import json |
| from pathlib import Path |
| import sys |
|
|
| ROOT_DIR = Path(__file__).resolve().parents[1] |
| if str(ROOT_DIR) not in sys.path: |
| sys.path.insert(0, str(ROOT_DIR)) |
|
|
| import numpy as np |
| import pandas as pd |
|
|
| from libs.adaptive.clustering import cluster_ligands_butina |
| from libs.adaptive.hyperclustering import hypercluster_representatives |
| from libs.encoders.ligand_encoder import LigandEncoder |
| from libs.utils.config import load_config |
| from libs.utils.io_smiles import read_smiles_table |
|
|
|
|
| def main() -> int: |
| parser = argparse.ArgumentParser(description="Cluster ligands and derive hyperclusters") |
| parser.add_argument("--config", default="configs/default.yaml") |
| parser.add_argument("--output", default="results/clustering.csv") |
| args = parser.parse_args() |
|
|
| cfg = load_config(args.config) |
| root = Path(__file__).resolve().parents[1] |
| ligands = read_smiles_table(root / cfg["data"]["ligand_table"]) |
| enc = LigandEncoder().encode_table(ligands) |
|
|
| ligand_ids = [e.ligand_id for e in enc] |
| fps = [e.fingerprint for e in enc] |
| vectors = np.vstack([e.vector for e in enc]) |
| id_to_idx = {lid: i for i, lid in enumerate(ligand_ids)} |
|
|
| cluster_map = cluster_ligands_butina(ligand_ids, fps, cutoff=float(cfg["clustering"]["butina_cutoff"])) |
| reps = {} |
| for cid in sorted(set(cluster_map.values())): |
| members = [lid for lid in ligand_ids if cluster_map[lid] == cid] |
| reps[cid] = np.mean(np.vstack([vectors[id_to_idx[lid]] for lid in members]), axis=0) |
| hyper = hypercluster_representatives(reps, int(cfg["clustering"]["n_hyperclusters"])) |
|
|
| rows = [{"ligand_id": lid, "cluster_id": cluster_map[lid], "hypercluster_id": hyper.get(cluster_map[lid], -1)} for lid in ligand_ids] |
| out = root / args.output |
| out.parent.mkdir(parents=True, exist_ok=True) |
| pd.DataFrame(rows).to_csv(out, index=False) |
| print(json.dumps({"output": str(out), "n_clusters": len(set(cluster_map.values()))}, indent=2)) |
| return 0 |
|
|
|
|
| if __name__ == "__main__": |
| raise SystemExit(main()) |
|
|