tooluniverse-drug-target-validation
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:
- Report-first approach - Create report file FIRST, then populate progressively
- Target disambiguation FIRST - Resolve all identifiers before analysis
- Evidence grading - Grade all evidence as T1 (experimental) to T4 (computational)
- Disease-specific - Tailor analysis to disease context when provided
- Modality-aware - Consider small molecule vs biologics tractability
- Safety-first - Prominently flag safety concerns early
- Quantitative scoring - Every dimension scored numerically (0-100 composite)
- Negative results documented - "No data" is data; empty sections are failures
- Source references - Every statement must cite tool/database
- Completeness checklist - Mandatory section showing analysis coverage
- English-first queries - Always use English terms in tool calls. Respond in user's language
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