disorderflow / misfolding_targets /fetch_targets.py
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#!/usr/bin/env python
"""Batch download misfolding target PDB structures for offline use.
Downloads all conformations from the misfolding knowledge base.
Stores PDB files in data/misfolding_targets/.
Generates a target_manifest.json for the pipeline.
Usage:
python fetch_targets.py # download all targets
python fetch_targets.py --dry-run # check what would be downloaded
python fetch_targets.py --max 3 # max 3 conformations per target
"""
import sys
import os
import io
import json
import time
import argparse
from pathlib import Path
if sys.platform == 'win32':
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
PROJECT_DIR = Path(__file__).parent.parent
sys.path.insert(0, str(PROJECT_DIR))
from misfolding_knowledge_base import MISFOLDING_TARGETS
from misfolding_data_loader import prepare_misfolding_target, DATA_DIR
def main():
parser = argparse.ArgumentParser(
description='Download misfolding disease target PDB structures'
)
parser.add_argument('--dry-run', action='store_true',
help='Check what would be downloaded without downloading')
parser.add_argument('--max', type=int, default=3, dest='max_confs',
help='Max conformations per target (default: 3)')
parser.add_argument('--force', action='store_true',
help='Force re-download even if cached')
args = parser.parse_args()
total = 0
success = 0
failed = []
print('=' * 70)
print('Misfolding Disease Target PDB Downloader')
print(f'Targets: {len(MISFOLDING_TARGETS)}')
print(f'Max conformations/target: {args.max_confs}')
print(f'Output dir: {DATA_DIR}')
if args.dry_run:
print('MODE: DRY RUN (no downloads)')
print('=' * 70)
manifest = {}
for disease_key, target in sorted(MISFOLDING_TARGETS.items()):
print(f'\n{"─" * 60}')
print(f'[{disease_key}]')
print(f' Disease: {target["disease_cn"]}')
print(f' Protein: {target["protein"]} ({target["gene"]})')
confs = target.get('conformations', {})
conf_keys = list(confs.keys())[:args.max_confs]
if not confs:
print(f' ⚠ No conformations defined — skipping')
continue
manifest[disease_key] = {
'disease_cn': target['disease_cn'],
'protein': target['protein'],
'gene': target['gene'],
'idp_flag': target.get('idp_flag', False),
'conformations': {},
}
for conf_key in conf_keys:
conf = confs[conf_key]
total += 1
pdb_id = conf['pdb_id']
print(f' [{conf_key}] PDB: {pdb_id} ({conf.get("type", "?")})')
if args.dry_run:
print(f' → Would download from RCSB')
manifest[disease_key]['conformations'][conf_key] = {
'pdb_id': pdb_id, 'status': 'dry_run'
}
success += 1
continue
if args.force:
# Clear cache entry
import misfolding_data_loader
cache = misfolding_data_loader._load_cache()
cache_key = f'{disease_key}_{conf_key}'
if cache_key in cache:
del cache[cache_key]
misfolding_data_loader._save_cache(cache)
print(f' (forced re-download)')
result = prepare_misfolding_target(disease_key, target, conf_key)
if result['success']:
print(f' ✓ Downloaded → {result["pdb_path"]}')
print(f' Chain: {result["chain_id"]} | Resolution: {result["resolution"]}')
if result['idp_warning']:
print(f' ⚠ IDP warning: {result["idp_warning"][:80]}...')
success += 1
manifest[disease_key]['conformations'][conf_key] = {
'pdb_id': pdb_id,
'pdb_path': result['pdb_path'],
'chain_id': result['chain_id'],
'resolution': result['resolution'],
'status': 'ready',
}
else:
print(f' ✗ Failed: {result["error"]}')
failed.append(f'{disease_key}/{conf_key}')
manifest[disease_key]['conformations'][conf_key] = {
'pdb_id': pdb_id, 'status': 'failed',
'error': result['error'],
}
if not args.dry_run:
time.sleep(0.4)
# Save manifest
manifest_path = DATA_DIR / 'target_manifest.json'
with open(manifest_path, 'w', encoding='utf-8') as f:
json.dump(manifest, f, indent=2, ensure_ascii=False)
# Summary
print(f'\n{"=" * 70}')
print(f'SUMMARY')
print(f' Total conformations: {total}')
print(f' Success: {success}/{total}')
if failed:
print(f' Failed ({len(failed)}):')
for f in failed:
print(f' - {f}')
print(f' Manifest: {manifest_path}')
print(f'{"=" * 70}')
return 0 if not failed else 1
if __name__ == '__main__':
sys.exit(main())