db-opentargets

Name: db-opentargets
Availability: InStock
Author: biomaps-infra

Query the Open Targets Platform API for target-disease associations and druggability data.

Updated Mar 13, 2026

Search Tags:#drug discovery #genetics #target identification #opentargets #pharmacology #biomedical data

Ready to run

npx skills add https://github.com/biomaps-infra/blender-opencode --skill db-opentargets

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: db-opentargets
Source: https://github.com/biomaps-infra/blender-opencode/tree/main/.opencode/skills/db-opentargets
Command: npx skills add https://github.com/biomaps-infra/blender-opencode --skill db-opentargets

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the complex process of identifying and validating potential therapeutic targets by providing programmatic access to the comprehensive Open Targets Platform data.

Core Features & Use Cases

Target Discovery: Find potential drug targets for specific diseases based on genetic, clinical, and literature evidence.
Target Validation: Assess a gene's druggability, safety profile, and biological relevance.
Drug Repurposing: Identify existing drugs that could be repurposed for new indications.
Use Case: You are researching a rare disease and want to find genes strongly associated with it that are also known to be druggable. This Skill can help you identify such targets and gather supporting evidence.

Quick Start

Use the db-opentargets skill to find targets associated with Alzheimer's disease.

Frequently Asked Questions about db-opentargets

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

FAQPage Schema

How do I identify druggable therapeutic targets for a specific disease using genetic evidence?▼

To identify druggable therapeutic targets, you query target-disease associations and assess druggability using genetic, clinical, and literature evidence. This approach integrates biomedical datasets to pinpoint genes strongly associated with your disease.

What is the best way to find existing drugs for drug repurposing against new indications?▼

The best way to find drugs for repurposing is to retrieve known drug interactions for your target genes and evaluate their disease associations. This allows you to identify existing drugs that could be effective for new indications.

Can I assess the safety liabilities and biological relevance of a potential drug target programmatically?▼

Yes, you can assess safety liabilities and biological relevance programmatically. By querying comprehensive target-disease association data, you can validate a gene's druggability and safety profile to ensure its suitability for drug discovery workflows.

Does this approach require specific dependencies to access pharmacology and biomedical data?▼

Accessing pharmacology and biomedical data programmatically requires the requests dependency to interface with the API. This setup facilitates retrieving gene annotations, disease information, and known drug interactions.

How do I validate a gene's therapeutic potential for drug discovery workflows?▼

To validate a gene's therapeutic potential, you retrieve data on its druggability, safety liabilities, and genetic evidence. This process supports therapeutic target validation by integrating diverse biological and clinical datasets.