NP-KG: Knowledge Graph Framework 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:
I. NP-KG Merged TSV format
- PheKnowLator_machine_read_merged_instance_based_OWLNETS_v1.0.1.tsv - Merged KG with ontology-grounded KG and literature-based graph as TSV file
- nodeLabels_v1.0.1.tsv
II. NP-KG Merged gpickle format
- PheKnowLator_machine_read_merged_instance_based_OWLNETS_v1.0.1.gpickle - Merged KG with ontology-grounded KG and literature-based graph as NetworkX multidigraph object.
- nodeLabels_v1.0.1.pickle - Node labels for all nodes in the KG.
III. PheKnowLator instance-based KG (v3.0.0)
- PheKnowLator_v3.0.0_full_instance_inverseRelations_OWLNETS_NetworkxMultiDiGraph.gpickle - PheKnowLator KG with full instance build v3.0.0 as NetworkX multidigraph object.
IV. Literature-based Graph in gpickle and ntriples format
- machine_read_merged_with_closure_v1.0.1.pickle - Pickle file of literature-based graph
- machine_read_merged_with_closure_v1.0.1.nt - ntriples file of literature-based graph.
Notes
Files
Files
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