
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.
Supporting Grant - National Institutes of Health National Center for Complementary and Integrative Health Grant U54 AT008909
Biomedical Ontologies, Knowledge Graph, Literature-based Discovery, Natural Products
Biomedical Ontologies, Knowledge Graph, Literature-based Discovery, Natural Products
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
