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-G
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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 T
[Description truncada. Veja o README completo no GitHub.]
