Datasets:
Formats:
parquet
Languages:
English
Size:
10M - 100M
Tags:
biology
chemistry
drug-discovery
clinical-trials
protein-protein-interaction
gene-essentiality
License:
File size: 1,434 Bytes
6d1bbc7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | """Load PubChem confirmatory inactive DTI data into NegBioDB.
Usage:
uv run python scripts/load_pubchem.py
"""
import argparse
import logging
from pathlib import Path
from negbiodb.db import DEFAULT_DB_PATH
from negbiodb.etl_pubchem import run_pubchem_etl
def main():
parser = argparse.ArgumentParser(description="Load PubChem inactives into NegBioDB")
parser.add_argument(
"--db-path",
type=Path,
default=DEFAULT_DB_PATH,
help="Path to NegBioDB SQLite database",
)
parser.add_argument(
"--chunksize",
type=int,
default=None,
help="Chunk size for streaming bioactivities TSV",
)
args = parser.parse_args()
logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(message)s")
print("=== PubChem ETL ===")
stats = run_pubchem_etl(args.db_path, chunksize=args.chunksize)
print("\n=== PubChem ETL Summary ===")
print(f"Rows read: {stats['rows_read']}")
print(f"Filtered: {stats['rows_filtered_inactive_confirmatory']}")
print(f"Mapped ready: {stats['rows_mapped_ready']}")
print(f"Skipped: {stats['rows_skipped']}")
print(f"Attempted ins: {stats['rows_attempted_insert']}")
print(f"Inserted: {stats['results_inserted']}")
print(f"Pairs total: {stats['pairs_total']}")
print("\nPubChem ETL complete.")
if __name__ == "__main__":
main()
|