molecular-dynamics

Compute and analyze molecular dynamics simulations with OpenMM and MDAnalysis.

1|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/Hung-3008/agusta --skill molecular-dynamics-hung-3008
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: molecular-dynamics
Source: https://github.com/Hung-3008/agusta/tree/main/.agents/skills/molecular-dynamics
Command: npx skills add https://github.com/Hung-3008/agusta --skill molecular-dynamics-hung-3008

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

MD simulations model the time evolution of molecular systems by integrating Newton's equations of motion, enabling detailed studies of structure and dynamics. This skill brings together OpenMM for simulation and MDAnalysis for trajectory analysis, covering setup, minimization, equilibration, production runs, and analysis of conformational changes and interactions.

Core Features & Use Cases

  • OpenMM and MDAnalysis integration for end-to-end workflows from preparation to analysis
  • Solutions for protein stability, drug binding, conformational sampling, and protein–protein interactions with RMSD, RMSF, contact maps, and free energy estimation
  • System preparation, force-field selection, energy minimization, NVT/NPT equilibration, production MD, and trajectory analysis tooling

Quick Start

Run a complete OpenMM MD workflow to prepare a system, minimize energy, equilibrate, run production, and analyze trajectories with MDAnalysis.

Frequently Asked Questions about molecular-dynamics

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

FAQPage Schema
How do I run a complete molecular dynamics simulation from system preparation to trajectory analysis?

You can run an end-to-end molecular dynamics workflow by preparing the system, selecting force fields, and performing energy minimization, NVT/NPT equilibration, and production MD. It integrates OpenMM for simulation execution and MDAnalysis for trajectory analysis.

Can I analyze protein-ligand drug binding and protein stability using MDAnalysis trajectories?

Yes, MDAnalysis trajectory analysis supports protein stability and drug binding studies by computing RMSD, RMSF, contact maps, and free-energy estimations. These metrics reveal conformational changes and interaction details for protein–ligand systems.

What molecular systems does this OpenMM MD workflow support for conformational sampling?

The OpenMM MD workflow supports protein systems, protein–ligand binding, membrane proteins, and intrinsically disordered proteins. It enables conformational sampling and protein–protein interaction studies through production runs and trajectory analysis.

Does OpenMM handle both NVT and NPT equilibration phases before production MD runs?

Yes, OpenMM handles both NVT and NPT equilibration phases. The workflow guides you through system preparation, force-field selection, and energy minimization before proceeding to equilibration and subsequent production MD runs.

What trajectory analysis metrics can I compute for intrinsically disordered proteins?

You can compute RMSD, RMSF, and contact maps for intrinsically disordered proteins using MDAnalysis. These trajectory analysis metrics evaluate conformational sampling and structural dynamics specific to disordered systems.

Why do I need both energy minimization and equilibration steps before running production MD?

Energy minimization removes steric clashes in the prepared system, while NVT/NPT equilibration stabilizes temperature and pressure. Both steps are required before production MD to ensure physically valid molecular dynamics trajectories.