·tooluniverse-drug-target-validation
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tooluniverse-drug-target-validation

Comprehensive computational validation of drug targets for early-stage drug discovery. Evaluates targets across 10 dimensions (disambiguation, disease association, druggability, chemical matter, clinical precedent, safety, pathway context, validation evidence, structural insights, validation roadmap) using 60+ ToolUniverse tools. Produces a quantitative Target Validation Score (0-100) with GO/NO-GO recommendation. Use when users ask about target validation, druggability assessment, target prioritization, or "is X a good drug target for Y?"

95Installs·2Trend·@mims-harvard

Installation

$npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-drug-target-validation

How to Install tooluniverse-drug-target-validation

Quickly install tooluniverse-drug-target-validation AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-drug-target-validation
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: mims-harvard/tooluniverse.

SKILL.md

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Validate drug target hypotheses using multi-dimensional computational evidence before committing to wet-lab work. Produces a quantitative Target Validation Score (0-100) with priority tier classification and GO/NO-GO recommendation.

| target | Yes | Gene symbol, protein name, or UniProt ID | EGFR, P00533, Epidermal growth factor receptor | | disease | No | Disease/indication for context | Non-small cell lung cancer, Pancreatic cancer | | modality | No | Preferred therapeutic modality | small molecule, antibody, protein therapeutic, PROTAC |

| 80-100 | Tier 1 | Highly validated - proceed with confidence | | 60-79 | Tier 2 | Good target - needs focused validation | | 40-59 | Tier 3 | Moderate risk - significant validation needed | | 0-39 | Tier 4 | High risk - consider alternatives |

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-drug-target-validation
Category
</>Dev Tools
Verified
First Seen
2026-02-20
Updated
2026-03-10

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Quick answers

What is tooluniverse-drug-target-validation?

Comprehensive computational validation of drug targets for early-stage drug discovery. Evaluates targets across 10 dimensions (disambiguation, disease association, druggability, chemical matter, clinical precedent, safety, pathway context, validation evidence, structural insights, validation roadmap) using 60+ ToolUniverse tools. Produces a quantitative Target Validation Score (0-100) with GO/NO-GO recommendation. Use when users ask about target validation, druggability assessment, target prioritization, or "is X a good drug target for Y?" Source: mims-harvard/tooluniverse.

How do I install tooluniverse-drug-target-validation?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-drug-target-validation Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/mims-harvard/tooluniverse