القائمة
Query the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biological data including genes, drugs, diseases, phenotypes, and more.
| name | primekg |
| description | Query the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biological data including genes, drugs, diseases, phenotypes, and more. |
| license | Unknown |
| metadata | {"version":"1.0","skill-author":"K-Dense Inc. (PrimeKG original from Harvard MIMS)"} |
PrimeKG is a precision medicine knowledge graph that integrates over 20 primary databases and high-quality scientific literature into a single resource. It contains over 100,000 nodes and 4 million edges across 29 relationship types, including drug-target, disease-gene, and phenotype-disease associations.
Key capabilities:
Data access: Programmatic access via query_primekg.py. Data is stored at C:\Users\eamon\Documents\Data\PrimeKG\kg.csv.
This skill should be used when:
Find identifiers for genes, drugs, or diseases.
from scripts.query_primekg import search_nodes
# Search for Alzheimer's disease nodes
results = search_nodes("Alzheimer", node_type="disease")
# Returns: [{"id": "EFO_0000249", "type": "disease", "name": "Alzheimer's disease", ...}]
Retrieve all connected nodes and relationship types.
from scripts.query_primekg import get_neighbors
# Get all neighbors of a specific disease ID
neighbors = get_neighbors("EFO_0000249")
# Returns: List of neighbors like {"neighbor_name": "APOE", "relation": "disease_gene", ...}
A high-level function to summarize associations for a disease.
from scripts.query_primekg import get_disease_context
# Comprehensive summary for a disease
context = get_disease_context("Alzheimer's disease")
# Access: context['associated_genes'], context['associated_drugs'], context['phenotypes']
The graph contains several key relationship types including:
protein_protein: Physical PPIsdrug_protein: Drug target/mechanism associationsdisease_gene: Genetic associationsdrug_disease: Indications and contraindicationsdisease_phenotype: Clinical signs and symptomsgwas: Genome-wide association studies evidenceget_neighbors, ensure you have the correct ID from search_nodes.get_disease_context for a broad overview before diving into specific genes or drugs.relation_type filter in get_neighbors to focus on specific evidence (e.g., only drug_protein).OpenTargets for deeper genetic evidence or Semantic Scholar for the latest literature context.scripts/query_primekg.py: Core functions for searching and querying the knowledge graph./mnt/c/Users/eamon/Documents/Data/PrimeKG/kg.csvBuild with and use Pi, the minimal terminal coding harness. Use for installing Pi, configuring providers/models/settings, creating Pi skills/extensions/packages/themes/prompt templates, embedding Pi through the SDK, integrating over RPC or JSON event streams, parsing sessions, or developing custom Pi providers and TUI components.
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