Datasets:
Formats:
parquet
Languages:
English
Size:
10M - 100M
Tags:
biology
chemistry
drug-discovery
clinical-trials
protein-protein-interaction
gene-essentiality
License:
File size: 1,062 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 | #!/usr/bin/env python
"""Load IntAct negative interactions into PPI database (Gold tier)."""
import argparse
from pathlib import Path
_PROJECT_ROOT = Path(__file__).resolve().parent.parent
def main():
parser = argparse.ArgumentParser(
description="Load IntAct negatives into PPI DB"
)
parser.add_argument(
"--db-path", type=str, default=None, help="PPI database path"
)
parser.add_argument(
"--data-dir", type=str, default=None,
help="Directory containing intact_negative.txt",
)
parser.add_argument(
"--filename", type=str, default="intact_negative.txt",
help="IntAct negative file name (default: intact_negative.txt)",
)
args = parser.parse_args()
from negbiodb_ppi.etl_intact import run_intact_etl
stats = run_intact_etl(
db_path=args.db_path,
data_dir=args.data_dir,
filename=args.filename,
)
print("\nIntAct ETL complete:")
for k, v in stats.items():
print(f" {k}: {v:,}")
if __name__ == "__main__":
main()
|