What kind of biological relationships are included?

The graph includes drug-protein (targets), disease-gene (genetics), disease-phenotype (symptoms), and protein-protein interactions (PPIs), among others.

Is the data access real-time?

The skill accesses a high-quality, local version of the PrimeKG dataset optimized for fast querying and analysis within your development environment.

PrimeKG (Precision Medicine Knowledge Graph) is a comprehensive biological resource that integrates data from over 20 primary databases to reveal complex relationships between drugs, diseases, and genes.

How do I find specific diseases or genes in the graph?

You can use the search_nodes function to find specific identifiers based on keywords, which are then used to perform deeper relationship and neighbor queries.

Can this skill help with drug repurposing research?

Yes, by analyzing the network of relationships between drugs and diseases, the skill helps identify existing drugs that may have clinical evidence for new indications.

PrimeKG Precision Medicine

Name: PrimeKG Precision Medicine
Author: K-Dense-AI

byK-Dense-AI

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17,327

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Data Science & ML

Enables advanced querying of the Precision Medicine Knowledge Graph for biomedical research, drug discovery, and genomic analysis.

The PrimeKG skill integrates the Precision Medicine Knowledge Graph into Claude, providing researchers and developers with programmatic access to over 100,000 nodes and 4 million biological relationships. By bridging the gap between molecular targets and clinical outcomes, it allows users to analyze disease contexts, identify drug repurposing opportunities, and map complex relationships between genes, drugs, and phenotypes using data integrated from over 20 primary scientific databases.

Key Features

0117,327 GitHub stars

02Support for 29 relationship types including PPIs, GWAS, and clinical evidence

03Neighbor discovery for identifying direct drug-target and disease-gene paths

04Multiscale biological data retrieval across genes, drugs, diseases, and phenotypes

05Comprehensive disease context analysis for high-level association summaries

06Programmatic access to curated data optimized for pandas-based querying

Use Cases

01Investigating network pharmacology effects through protein-protein interaction networks

02Identifying potential drug repurposing candidates by analyzing multi-hop network paths

03Mapping genetic associations and phenotypic manifestations of complex clinical conditions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add k-dense-ai/claude-scientific-skills primekg

For use in Claude.ai and ChatGPT

Key Features

0117,327 GitHub stars

02Support for 29 relationship types including PPIs, GWAS, and clinical evidence

03Neighbor discovery for identifying direct drug-target and disease-gene paths

04Multiscale biological data retrieval across genes, drugs, diseases, and phenotypes

05Comprehensive disease context analysis for high-level association summaries

06Programmatic access to curated data optimized for pandas-based querying

Use Cases

01Investigating network pharmacology effects through protein-protein interaction networks

02Identifying potential drug repurposing candidates by analyzing multi-hop network paths

03Mapping genetic associations and phenotypic manifestations of complex clinical conditions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add k-dense-ai/claude-scientific-skills primekg

For use in Claude.ai and ChatGPT