tooluniverse-drug-repurposing
Identify drug repurposing candidates using ToolUniverse for target-based, compound-based, and disease-driven strategies. Searches existing drugs for new therapeutic indications by analyzing targets, bioactivity, safety profiles, and literature evidence. Use when exploring drug repurposing opportunities, finding new indications for approved drugs, or when users mention drug repositioning, off-label uses, or therapeutic alternatives.
Install
mkdir -p .claude/skills/tooluniverse-drug-repurposing && curl -L -o skill.zip "https://mcp.directory/api/skills/download/3103" && unzip -o skill.zip -d .claude/skills/tooluniverse-drug-repurposing && rm skill.zipInstalls to .claude/skills/tooluniverse-drug-repurposing
About this skill
Drug Repurposing with ToolUniverse
Systematically identify and evaluate drug repurposing candidates using multiple computational strategies.
IMPORTANT: Always use English terms in tool calls. Respond in the user's language.
Core Strategies
- Target-Based: Disease targets -> Find drugs that modulate those targets
- Compound-Based: Approved drugs -> Find new disease indications
- Disease-Driven: Disease -> Targets -> Match to existing drugs
Workflow Overview
Phase 1: Disease & Target Analysis
Get disease info (OpenTargets), find associated targets, get target details
Phase 2: Drug Discovery
Search DrugBank, DGIdb, ChEMBL for drugs targeting disease-associated genes
Get drug details, indications, pharmacology
Phase 3: Safety & Feasibility Assessment
FDA warnings, FAERS adverse events, drug interactions, ADMET predictions
Phase 4: Literature Evidence
PubMed, Europe PMC, clinical trials for existing evidence
Phase 5: Scoring & Ranking
Composite score: target association + safety + literature + drug properties
See: PROCEDURES.md for detailed step-by-step procedures and code patterns.
Quick Start
from tooluniverse import ToolUniverse
tu = ToolUniverse(use_cache=True)
tu.load_tools()
# Step 1: Get disease targets
disease_info = tu.tools.OpenTargets_get_disease_id_description_by_name(diseaseName="rheumatoid arthritis")
targets = tu.tools.OpenTargets_get_associated_targets_by_disease_efoId(efoId=disease_info['data']['id'], limit=10)
# Step 2: Find drugs for each target
for target in targets['data'][:5]:
drugs = tu.tools.DGIdb_get_drug_gene_interactions(gene_name=target['gene_symbol'])
Key ToolUniverse Tools
Disease & Target:
OpenTargets_get_disease_id_description_by_name- Disease lookupOpenTargets_get_associated_targets_by_disease_efoId- Disease targetsUniProt_get_entry_by_accession- Protein details
Drug Discovery:
drugbank_get_drug_name_and_description_by_target_name- Drugs by targetdrugbank_get_drug_name_and_description_by_indication- Drugs by indicationDGIdb_get_drug_gene_interactions- Drug-gene interactionsChEMBL_search_drugs/ChEMBL_get_drug_mechanisms- Drug search and MOA
Drug Information:
drugbank_get_drug_basic_info_by_drug_name_or_id- Basic infodrugbank_get_indications_by_drug_name_or_drugbank_id- Approved indicationsdrugbank_get_pharmacology_by_drug_name_or_drugbank_id- Pharmacologydrugbank_get_targets_by_drug_name_or_drugbank_id- Drug targets
Safety:
FDA_get_warnings_and_cautions_by_drug_name- FDA warningsFAERS_search_reports_by_drug_and_reaction- Adverse eventsFAERS_count_death_related_by_drug- Serious outcomesdrugbank_get_drug_interactions_by_drug_name_or_id- Interactions
Property Prediction:
ADMETAI_predict_admet/ADMETAI_predict_toxicity- ADMET and toxicity
Literature:
PubMed_search_articles/EuropePMC_search_articles/ClinicalTrials_search
Scoring Criteria
| Category | Points | Breakdown |
|---|---|---|
| Target Association | 0-40 | Strong genetic: 40, Moderate: 25, Pathway-level: 15, Weak: 5 |
| Safety Profile | 0-30 | FDA approved: 20, Phase III: 15, Phase II: 10, No black box: +10 |
| Literature Evidence | 0-20 | Clinical trials: 5 each (max 15), Preclinical: 1 each (max 10) |
| Drug Properties | 0-10 | High bioavailability: 5, BBB penetration (CNS): 5, Low toxicity: 5 |
Best Practices
- Start broad: Query multiple databases (DrugBank, ChEMBL, DGIdb)
- Validate targets: Confirm target-disease associations in OpenTargets
- Safety first: Prioritize approved drugs with known safety profiles
- Literature mining: Search for existing clinical/preclinical evidence
- Consider mechanism: Evaluate biological plausibility
- Batch operations: Use
tu.run_batch()for parallel queries
Troubleshooting
| Problem | Solution |
|---|---|
| Disease not found | Try synonyms or EFO ID lookup |
| No drugs for target | Check HUGO nomenclature, expand to pathway-level, try similar targets |
| Insufficient literature | Search drug class instead, check preclinical/animal studies |
| Safety data unavailable | Drug may not be US-approved, check EMA or clinical trial safety |
Reference Files
- REFERENCE.md - Detailed reference documentation
- EXAMPLES.md - Sample repurposing analyses
- PROCEDURES.md - Step-by-step procedures with code
- REPORT_TEMPLATE.md - Output report template
- Related skills: disease-intelligence-gatherer, chemical-compound-retrieval, tooluniverse-sdk
More by mims-harvard
View all skills by mims-harvard →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
fastapi-templates
wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Related MCP Servers
Browse all serversEnhance Java code with Aibolit Java Code Analyzer. Identify design, maintainability, and architectural issues beyond sur
Easily convert markdown to PDF using Markitdown MCP server. Supports HTTP, STDIO, and SSE for fast converting markdown t
Unlock AI-ready web data with Firecrawl: scrape any website, handle dynamic content, and automate web scraping for resea
Build persistent semantic networks for enterprise & engineering data management. Enable data persistence and memory acro
Browser Use lets LLMs and agents access and scrape any website in real time, making web scraping and web page scraping e
Enhance software testing with Playwright MCP: Fast, reliable browser automation, an innovative alternative to Selenium s
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.