Opentargets Database

This pulls data from the Open Targets Platform, which aggregates genetics, clinical trials, pathways, and literature to score gene-disease associations. You'd use it for target discovery (finding genes linked to a disease), drug repurposing (what's already in trials), or evaluating druggability and safety liabilities before committing resources. The API returns scored evidence across types like GWAS, somatic mutations, known drugs, and expression data. It's built for early drug discovery work where you need to prioritize targets or understand what's already been tried clinically. The GraphQL interface means you can drill into specific evidence or pull broad association landscapes. Solid if you're doing computational biology or target assessment and don't want to manually scrape a dozen databases.

skills.sh installs: 219
GitHub stars: 33.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill opentargets-database --agent claude-code

Installs into .claude/skills of the current project.

Files

Open Targets Database

Overview

The Open Targets Platform is a comprehensive resource for systematic identification and prioritization of potential therapeutic drug targets. It integrates publicly available datasets including human genetics, omics, literature, and chemical data to build and score target-disease associations.

Key capabilities:

Query target (gene) annotations including tractability, safety, expression
Search for disease-target associations with evidence scores
Retrieve evidence from multiple data types (genetics, pathways, literature, etc.)
Find known drugs for diseases and their mechanisms
Access drug information including clinical trial phases and adverse events
Evaluate target druggability and therapeutic potential

Data access: The platform provides a GraphQL API, web interface, data downloads, and Google BigQuery access. This skill focuses on the GraphQL API for programmatic access.