drug-target-validationlisted

--- name: tooluniverse-drug-target-validation description: 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?" --- # Drug Target Validation Pipeline 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. **KEY PRINCIPLES**: 1. **Report-first approach** - Create report file FIRST, then populate progressively 2. **Target disambiguation FIRST** - Resolve all identifiers before analysis 3. **Evidence grading** - Grade all evidence as T1 (experimental) to T4 (computational) 4. **Disease-specific** - Tailor analysis to disease context when provided 5. **Modality-aware** - Consider small molecule vs biologics tractability 6. **Safety-first** - Prominently flag safety concerns early 7. **Quantitative scoring** - Every dimension scored numerically (0-100 composite) 8. **Negative results documented** - "No data" is data; em