molclaw-equiscore-docking

Rank candidate molecules by docking score against a protein target.

28|2|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/InternScience/MolClaw --skill molclaw-equiscore-docking
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: molclaw-equiscore-docking
Source: https://github.com/InternScience/MolClaw/tree/main/skills/L1_tools/molclaw-equiscore-docking
Command: npx skills add https://github.com/InternScience/MolClaw --skill molclaw-equiscore-docking

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about molclaw-equiscore-docking

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I rank candidate molecules by docking score using SMILES and a PDB file?

To rank candidate molecules, provide a list of SMILES and a target PDB. The workflow extracts receptor chains, fixes structures, converts SMILES to docked poses, and runs EquiScore screening to return top-ranked molecules.

Can I use precomputed docking SDF files for virtual screening instead of SMILES?

Yes, you can use precomputed docking SDF files for virtual screening. The workflow accepts SDF inputs directly to perform EquiScore pocket extraction and molecular ranking without requiring SMILES to pose conversion.

Do I need to manually fix PDB structures before running EquiScore screening?

No, you do not need to manually fix PDB structures. The workflow handles receptor preparation by optionally extracting chains and applying PDBFixer to ensure robust docking inputs prior to EquiScore screening.

What is the best way to automate end-to-end docking and hit prioritization for multiple ligands?

Automating hit prioritization requires mapping ligand identifiers to SMILES, generating docked poses, and running batch EquiScore screening. This workflow enforces explicit download verification of all output structure files for reproducibility.

Does virtual screening with EquiScore require receptor chain extraction before docking?

Yes, EquiScore screening requires receptor chain extraction. The workflow retrieves or accepts a PDB, extracts the necessary chains, and fixes the structure before proceeding to pose generation and scoring.