opentargets-database

Query the Open Targets Platform GraphQL API to analyze target-disease associations and druggability.

557|98|Updated Nov 7, 2025
One-click install
npx skills add https://github.com/jimmc414/Kosmos --skill opentargets-database-jimmc414
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: opentargets-database
Source: https://github.com/jimmc414/Kosmos/tree/main/kosmos-claude-scientific-skills/scientific-skills/opentargets-database
Command: npx skills add https://github.com/jimmc414/Kosmos --skill opentargets-database-jimmc414

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps researchers identify and prioritize potential therapeutic drug targets by systematically querying the comprehensive Open Targets Platform, integrating vast amounts of biological and clinical data.

Core Features & Use Cases

  • Target Discovery: Find potential therapeutic targets for a given disease by analyzing genetic associations, pathway data, and clinical precedence.
  • Target Assessment: Evaluate the druggability, safety, and biological rationale for a target using detailed annotations.
  • Drug Repurposing: Identify existing drugs that could be repurposed for new indications based on target-disease relationships.
  • Use Case: A researcher wants to find new targets for Alzheimer's disease. They can use this Skill to search for genes strongly associated with Alzheimer's, check their tractability for small molecule drugs, and review existing genetic evidence.

Quick Start

Use the opentargets-database skill to find known drugs for Alzheimer disease.

Frequently Asked Questions about opentargets-database

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

FAQPage Schema
How do I identify potential drug targets for a specific disease using genetic associations?

Identify drug targets by querying target-disease associations through the Open Targets Platform GraphQL API. The Skill integrates human genetics, omics, literature, and chemical data to score relationships and assess druggability for therapeutic target discovery.

Can I use this to find existing drugs for repurposing based on target-disease relationships?

Yes, you can find drugs for repurposing by analyzing target-disease relationships and clinical precedence. The Skill queries the Open Targets Platform to retrieve known drugs and evaluate their potential for new indications.

How do I assess the druggability and safety of a therapeutic target?

Assess druggability and safety by retrieving tractability and safety data annotations from the Open Targets Platform. The Skill queries specific target information to evaluate biological rationale and small molecule drug potential.

Do I need any specific Python packages to query the Open Targets Platform?

You need the requests Python package installed to query the Open Targets Platform. The Skill uses requests to access the GraphQL API and retrieve target-disease association data for analysis.

What is the best way to prioritize therapeutic targets for Alzheimer's disease research?

Prioritize targets for Alzheimer's by searching for strongly associated genes and reviewing genetic evidence. The Skill analyzes genetic associations, pathway data, and tractability to help researchers systematically identify and validate potential therapeutic targets.

Are there limitations to using Open Targets data for pharmacology research?

Limitations include dependence on the Open Targets Platform's available data integration for genetics, omics, and literature. The Skill retrieves and scores target-disease relationships but requires researchers to interpret the biological rationale and safety annotations.