primekg

Query the Precision Medicine Knowledge Graph for disease-gene relationships and drug targets.

Updated May 17, 2026

Search Tags:#knowledge graph #drug discovery #disease research #biological data #precision medicine

Ready to run

npx skills add https://github.com/galeep/plugin-place --skill primekg-galeep

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: primekg
Source: https://github.com/galeep/plugin-place/tree/main/plugins/sci-multi-omics/skills/primekg
Command: npx skills add https://github.com/galeep/plugin-place --skill primekg-galeep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, and includes scripts (resource) components.

What problem does it solve?

The Skill simplifies querying the Precision Medicine Knowledge Graph (PrimeKG) for biological data, streamlining complex research tasks in minutes.

Core Features & Use Cases

Data Retrieval: Quick access to over 100,000 nodes and 4 million edges across diverse biological entities.
Search and Neighbor Retrieval: Locate genes, drugs, diseases, and phenotypes, and explore their associated entities.
Contextual Analysis: Summarize disease associations and identify potential drug targets.
Use Case: For a researcher in the field of precision medicine, this Skill provides a fast, accurate way to explore disease-gene relationships and potential drug repurposing opportunities.

Quick Start

Run 'search_nodes' with the disease name, e.g., search_nodes("cancer").

Frequently Asked Questions about primekg

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I query a knowledge graph for disease-gene relationships?▼

To query disease-gene relationships from a knowledge graph, you can run the search_nodes function with a disease name to retrieve associated biological entities. This Skill queries PrimeKG to return over 100,000 nodes and 4 million edges for precision medicine research.

What is the best way to find drug repurposing opportunities using biological data?▼

Finding drug repurposing opportunities requires analyzing biological data connections between drugs and diseases. This Skill searches PrimeKG to summarize disease associations and identify potential drug targets, streamlining complex research tasks into minutes.

Can I use pandas to explore precision medicine data in Python?▼

Yes, you can use pandas to explore precision medicine data in Python. This Skill requires Python with pandas installed to query the PrimeKG knowledge graph, locate genes, drugs, and phenotypes, and retrieve their associated neighboring entities.

How do I retrieve neighboring biological entities for a specific gene or drug?▼

To retrieve neighboring biological entities for a specific gene or drug, run the search_nodes function with the entity name. The Skill queries PrimeKG to locate the node and explores its connected edges across diverse biological data types.

Does this precision medicine knowledge graph cover phenotypes and biological data?▼

Yes, the precision medicine knowledge graph covers phenotypes and biological data. PrimeKG contains over 100,000 nodes and 4 million edges across diverse biological entities, including genes, drugs, diseases, and phenotypes for comprehensive contextual analysis.