alterlab-primekg

Query a biomedical knowledge graph by searching for specific nodes like genes or diseases and retrieving their direct neighbors to identify drug repurposing opportunities and explore underlying biological mechanisms.

Yes, you can use PrimeKG to unify and find direct relationships between genes, drugs, diseases, and phenotypes by retrieving node neighbors and summarizing clinical evidence from the biomedical graph.

Disease context analysis works by summarizing associated genes, drugs, and phenotypes for a specific disease, allowing you to extract local biomedical insights and identify potential paths from the graph data.

You need the pandas library and the query_primekg.py script to read data from the PrimeKG CSV store, perform node searches, retrieve neighbors, and execute disease-context analysis.

The best way to identify drug-disease paths is to query the unified PrimeKG graph to retrieve direct neighbors and clinical evidence, revealing immediate biological relationships for mechanistic insights.

Yes, the skill supports searching for specific biological entities including genes, proteins, drugs, diseases, and phenotypes to quickly locate relevant nodes within the biomedical knowledge graph.