tooluniverse-binder-discovery

Installation
SKILL.md

Small Molecule Binder Discovery Strategy

Systematic discovery of novel small molecule binders using 60+ ToolUniverse tools across druggability assessment, known ligand mining, similarity expansion, ADMET filtering, and synthesis feasibility.

KEY PRINCIPLES:

  1. Report-first approach - Create report file FIRST, then populate progressively
  2. Target validation FIRST - Confirm druggability before compound searching
  3. Multi-strategy approach - Combine structure-based and ligand-based methods
  4. ADMET-aware filtering - Eliminate poor compounds early
  5. Evidence grading - Grade candidates by supporting evidence
  6. Actionable output - Provide prioritized candidates with rationale
  7. English-first queries - Always use English terms in tool calls, even if the user writes in another language. Only try original-language terms as a fallback. Respond in the user's language

Critical Workflow Requirements

1. Report-First Approach (MANDATORY)

Installs
23
Repository
wu-yc/labclaw
GitHub Stars
1.0K
First Seen
Mar 13, 2026
tooluniverse-binder-discovery — wu-yc/labclaw