NP-KG: Knowledge Graph for Natural Product-Drug Interactions
Contributors
Project leader:
- 1. University of Pittsburgh
- 2. Columbia University
- 3. Washington State University
- 4. University of Illinois at Urbana-Champaign
- 5. Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory
Description
NP-KG is a biomedical knowledge graph (KG) to identify and generate mechanistic hypotheses for pharmacokinetic natural product-drug interactions (NPDIs). NP-KG uses the PheKnowLator ecosystem to create an ontology-grounded KG. It then uses two relation extraction systems to extract triples from natural product-related biomedical literature to create a literature-based graph, and integrates the nodes and edges in the ontology-grounded KG. See GitHub repository for more details and instructions: https://github.com/sanyabt/np-kg.
File Descriptions for version 3:
I. NP-KG Merged TSV format
- NP-KG_v3.0.0.tsv - Merged KG with ontology-grounded KG and literature-based graph as TSV file
- nodeLabels_v3.0.0.tsv
- nodeTypes_v3.0.0.tsv
II. NP-KG Merged gpickle format
- NP-KG_v3.0.0.gpickle - Merged KG with ontology-grounded KG and literature-based graph as NetworkX multidigraph object.
- nodeLabels_v3.0.0.pickle - Node labels for all nodes in the KG in dictionary format.
Notes
Files
Files
(2.3 GB)
Additional details
Related works
- Is published in
- Journal article: 36933632 (PMID)
Dates
- Updated
-
2024-06Version3.0.0 released