molclaw-equiscore-docking
OfficialEnd-to-end EquiScore docking ranking
Education & Research#sdf#docking#smiles#virtual-screening#equiscore#receptor-preparation#molecular-ranking
AuthorInternScience
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the multi-step process of ranking candidate molecules by docking score against a target protein, reducing manual orchestration across receptor preparation, pose generation, and scoring.
Core Features & Use Cases
- Receptor Preparation & Chain Extraction: Retrieve or accept a PDB, optionally extract chains, and fix structures with PDBFixer for robust docking.
- Pose Generation and Format Conversion: Convert SMILES to appropriate docked SDF poses when needed and map ligand identifiers to SMILES for reliable traceability.
- EquiScore Pocket Extraction and Screening: Run EquiScore pocket extraction and batch screening, then rank and return predictions while enforcing mandatory local download of all output structure files for verification and reproducibility.
Quick Start
Use molclaw-equiscore-docking to rank a list of candidate SMILES against a provided PDB and return the top-scoring molecules with downloaded output files.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: molclaw-equiscore-docking Download link: https://github.com/InternScience/MolClaw/archive/main.zip#molclaw-equiscore-docking Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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