molclaw-pack-sidechains

Predict full-atom protein sidechain conformations from backbone PDB files.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Accurately places full-atom protein sidechain conformations on backbone-only PDBs to prepare structures for downstream modeling, docking, or simulation workflows while reducing manual rotamer adjustment and steric clashes.

Core Features & Use Cases

  • Predicts full-atom sidechains from backbone PDBs using AttnPacker and returns an output PDB and run directory for verification.
  • Supports device selection, chunked inference for long proteins, and optional rotamer post-processing with configurable optimization iterations and steric weights.
  • Use cases include preparing receptor structures for virtual screening, initializing systems for molecular dynamics, and generating consistent inputs for comparative binding evaluations.
  • Enforces a mandatory output download step to ensure generated structure files are saved locally for reproducibility and verification.

Quick Start

Pack full-atom sidechains for the uploaded backbone file /path/to/input.pdb using device cuda:0 and return the output PDB path.

Frequently Asked Questions about molclaw-pack-sidechains

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

FAQPage Schema
How do I predict full-atom sidechains from a backbone PDB file?

You can predict full-atom sidechains from a backbone PDB by providing the backbone file as input; the tool applies AttnPacker to generate a complete output PDB with accurately placed sidechain conformations.

When do I need full-atom sidechain packing for protein structures?

Full-atom sidechain packing is needed when preparing protein structures for downstream modeling workflows like docking setup, molecular dynamics initialization, or virtual screening preprocessing where accurate sidechain placement is required.

Can I use chunked inference for long protein backbone PDB files?

Yes, the sidechain prediction process supports chunked inference specifically for long proteins, along with device selection such as choosing cuda:0, to manage computational resources during structure preparation.

Does sidechain packing support rotamer post-processing to reduce steric clashes?

Yes, the sidechain packing includes optional rotamer post-processing with configurable optimization iterations and steric weights to reduce manual rotamer adjustment and minimize steric clashes in the generated structures.

What is the best way to save generated full-atom protein structures locally?

The best way to save generated structures is by using the mandatory server_file_to_base64 download step, which ensures the output PDB and run directory files are saved locally for verification and reproducibility.