molclaw-goca-tool

Automate GoCa coarse-grained MD setup and output collection for protein PDB structures.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the setup, execution, and artifact collection for GoCa coarse-grained molecular dynamics runs on protein structures, eliminating manual orchestration of preprocessing, MD execution, and output tracking so researchers can reliably produce and retrieve structural trajectories and configuration artifacts.

Core Features & Use Cases

  • Integrated GoCa execution: Launches the GoCa coarse-grained pipeline with options for full MD, energy minimization, and post-processing using configurable temperature, MD time, and GPU IDs.
  • Artifact organization & retrieval: Produces a run-specific output directory with normalized key files (Cα trajectory PDBs, configuration files, analysis directories) and explicit instructions to download all structure outputs for downstream processing.
  • Dry-run and reproducibility: Supports a dry_run mode that creates tracked run directories and returns normalized parameters without executing simulations, enabling reproducible pipelines and inspection before committing compute resources.
  • Use Case: Relax a target protein, generate a coarse-grained trajectory for subsequent full-atom reconstruction, and collect all Cα PDBs and config files for off-server analysis.

Quick Start

Run the goca_pipeline tool on the uploaded protein PDB in dry-run mode to create a tracked run directory and list the key output files.

Frequently Asked Questions about molclaw-goca-tool

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

FAQPage Schema
How do I automate coarse-grained molecular dynamics setup for a protein PDB?

To automate coarse-grained molecular dynamics setup, provide a protein PDB path to configure GoCa pipeline execution, including temperature, MD time, and GPU assignments. This eliminates manual preprocessing by generating a tracked run directory with normalized configuration files.

Can I test GoCa MD parameters without committing GPU compute resources?

Yes, you can test GoCa MD parameters without committing GPU resources by enabling dry-run mode. This creates a tracked run directory and returns normalized configurations without executing the actual molecular dynamics simulation.

What structural artifacts do I need to download for full-atom reconstruction from coarse-grained trajectories?

For full-atom reconstruction from coarse-grained trajectories, you must download all generated Cα trajectory PDBs and configuration files. The pipeline organizes these structural artifacts in a run-specific output directory for off-server analysis.

Does this pipeline support configurable temperature and MD time for protein relaxation?

Yes, the pipeline supports configurable temperature and MD time for protein relaxation. You can specify these parameters alongside GPU IDs to execute full MD workflows or energy minimization on the provided coarse-grained protein structures.

What is the best way to collect and organize GoCa molecular dynamics outputs?

The best way to collect GoCa molecular dynamics outputs is through automated artifact organization, which produces a run-specific directory containing normalized Cα trajectory PDBs and analysis folders. This ensures all structural outputs are explicitly tracked for downstream processing.