scientific-drug-repurposing

Integrate Open Targets, ChEMBL, and DrugBank data to rank drug repurposing candidates.

3|1|Updated Feb 11, 2026

Search Tags:#ChEMBL #network-analysis #drug-discovery #OpenTargets #DrugBank #drug-repurposing

Ready to run

npx skills add https://github.com/nahisaho/satori --skill scientific-drug-repurposing

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scientific-drug-repurposing
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-drug-repurposing
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-drug-repurposing

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematically identifies new therapeutic uses for approved drugs by integrating pathway, network analyses, and literature evidence to accelerate discovery.

Core Features & Use Cases

7 strategies spanning target-based, compound-based, disease-driven, mechanism-based, network-based, phenotype-based, and structure-based repurposing.
ToolUniverse data integration through Pharos/IDG, OpenTargets, ChEMBL, and DrugBank for comprehensive evidence.
Automated scoring, evidence synthesis, and prioritization to produce actionable candidate lists.
Generates top-10 repurposing candidates with supporting documentation and a final report.

Quick Start

Analyze a disease, run all seven strategies, score the candidates, and output a top-10 repurposing list with evidence.

Frequently Asked Questions about scientific-drug-repurposing

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

FAQPage Schema

How do I identify drug repurposing candidates using Open Targets and ChEMBL data?▼

Drug repurposing candidates are identified by integrating Open Targets, ChEMBL, and DrugBank data to apply target-based, network-based, and mechanism-based analyses. This process yields a structured top-10 candidate list with supporting evidence synthesis.

What is multi-strategy drug repurposing and when do I need it?▼

Multi-strategy drug repurposing systematically identifies new therapeutic uses for approved drugs across seven approaches, including phenotype-based and structure-based methods. It is needed to accelerate discovery by integrating pathways, network analyses, and literature evidence.

How to generate a ranked drug repurposing report with safety profiling and patent checks?▼

To generate a ranked repurposing report, apply multi-criteria scoring, safety profiling, and patent checks to the integrated evidence. This automated process prioritizes candidates and outputs comprehensive documentation with supporting literature.

Does this drug repurposing workflow support network-based analysis for multiple diseases?▼

Yes, the drug repurposing workflow supports network-based analysis alongside target-based and disease-driven strategies across multiple diseases. It integrates comprehensive evidence to generate actionable candidate lists for various therapeutic areas.

What's the best way to prioritize repurposing candidates from DrugBank data?▼

The best way to prioritize repurposing candidates is using automated multi-criteria scoring and evidence synthesis across seven strategies. This approach integrates DrugBank data to produce a top-10 candidate list with comprehensive supporting documentation.

Can I run mechanism-based and phenotype-based drug repurposing analyses in the same workflow?▼

Yes, you can run mechanism-based and phenotype-based drug repurposing analyses together within the same workflow. The system spans seven distinct strategies, automatically scoring and synthesizing evidence to output a unified top-10 candidate list.