opentargets-database

Query the Open Targets Platform GraphQL API for target-disease associations and evidence.

8|Updated Jan 13, 2026
One-click install
npx skills add https://github.com/hxk622/TokenDance --skill opentargets-database-hxk622
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: opentargets-database
Source: https://github.com/hxk622/TokenDance/tree/main/backend/app/skills/builtin/scientific/chemistry/opentargets-database
Command: npx skills add https://github.com/hxk622/TokenDance --skill opentargets-database-hxk622

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps researchers and drug developers identify and prioritize potential therapeutic targets by querying the comprehensive Open Targets Platform for target-disease associations, drug discovery data, and supporting evidence.

Core Features & Use Cases

  • Target Discovery: Find potential drug targets for specific diseases.
  • Target Assessment: Evaluate a gene's tractability, safety, and genetic evidence.
  • Evidence Retrieval: Gather detailed genetic, pathway, and clinical evidence for target-disease links.
  • Drug Repurposing: Identify existing drugs for new indications.
  • Use Case: You want to find potential targets for Alzheimer's disease. Use this Skill to search for genes associated with Alzheimer's, review their tractability and safety profiles, and examine the supporting genetic and clinical evidence.

Quick Start

Use the opentargets-database skill to search for targets associated with the disease '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 evidence?

You can identify drug targets by querying target-disease associations through the Open Targets Platform. This process retrieves genetic, omics, and clinical evidence to help prioritize therapeutic targets based on tractability and safety profiles for specific diseases.

What is the best way to assess target druggability and safety for drug discovery?

Assessing target druggability and safety involves querying comprehensive biomedical data for target-disease links. You can evaluate a gene's genetic evidence, tractability, and safety profiles systematically to determine its therapeutic potential and suitability for drug development.

Can I retrieve clinical and literature evidence for target-disease associations?

Yes, you can retrieve detailed clinical, genetic, and literature evidence for target-disease associations. The skill queries the Open Targets Platform to gather supporting evidence, facilitating a systematic analysis of therapeutic target identification and drug repurposing opportunities.

How do I find existing drugs for new indications through drug repurposing?

Finding existing drugs for new indications involves querying drug discovery data and target-disease associations. By examining the supporting evidence and chemical data for established targets, you can identify potential opportunities for drug repurposing across different diseases.

Does this target identification approach work with GraphQL API queries?

Yes, target identification works by querying the Open Targets Platform GraphQL API. It retrieves comprehensive biomedical data, including genetic, omics, and chemical evidence, to evaluate target druggability, safety, and therapeutic potential for drug discovery.

When should I not use a systematic target-disease association query for therapeutic target identification?

You should avoid systematic target-disease association queries when you lack specific disease or target identifiers. It is also unsuitable if your research requires real-time clinical trial monitoring rather than aggregated genetic, omics, and literature evidence for target prioritization.