Datasets:
Formats:
parquet
Languages:
English
Size:
10M - 100M
Tags:
biology
chemistry
drug-discovery
clinical-trials
protein-protein-interaction
gene-essentiality
License:
File size: 1,409 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 50 51 52 53 54 55 56 | #!/usr/bin/env python
"""Download STRING v12.0 human protein links and UniProt mapping.
Downloads:
- 9606.protein.links.v12.0.txt.gz (~200 MB compressed)
- human.uniprot_2_string.2018.tsv.gz (~300 KB)
License: CC BY 4.0
"""
import argparse
from pathlib import Path
from negbiodb.download import download_file_http, load_config
_PROJECT_ROOT = Path(__file__).resolve().parent.parent
def main():
parser = argparse.ArgumentParser(
description="Download STRING v12.0 data for PPI negatives"
)
parser.add_argument(
"--dest-dir",
type=str,
default=None,
help="Destination directory (default: from config)",
)
args = parser.parse_args()
cfg = load_config()
string_cfg = cfg["ppi_domain"]["downloads"]["string"]
dest_dir = Path(args.dest_dir or (_PROJECT_ROOT / string_cfg["dest_dir"]))
# Protein links file (large)
links_fname = string_cfg["links_url"].rsplit("/", 1)[-1]
download_file_http(
string_cfg["links_url"],
dest_dir / links_fname,
desc=links_fname,
)
# UniProt mapping file (small)
mapping_fname = string_cfg["mapping_url"].rsplit("/", 1)[-1]
download_file_http(
string_cfg["mapping_url"],
dest_dir / mapping_fname,
desc=mapping_fname,
)
print(f"\nSTRING v12.0 data downloaded to {dest_dir}")
if __name__ == "__main__":
main()
|