molecular-dynamics

Molecular dynamics simulations for protein-ligand binding studies require automated system preparation, energy minimization, and NVT equilibration. This skill automates these steps using OpenMM, allowing you to prepare PDB files and run equilibration directly.

To calculate RMSD and RMSF from molecular dynamics trajectories, use MDAnalysis. This skill provides robust trajectory analysis tools to extract these metrics, alongside protein-ligand contacts and free energy surfaces for structural biology workflows.

Yes, you can use OpenMM and MDAnalysis to perform conformational sampling and free energy estimation. This skill supports these workflows for modeling conformational flexibility and understanding drug binding mechanisms over time.

Yes, preparing PDB files for molecular dynamics simulation requires PDBFixer and openff-toolkit. These dependencies handle system preparation and parameterization, ensuring your protein and small molecule systems are correctly configured before running OpenMM.

Automated molecular dynamics setup prevents configuration errors by standardizing force field selection and trajectory analysis. This skill addresses the complexity of system preparation, ensuring accurate computational modeling for complex molecular systems.

Yes, this molecular dynamics skill supports visualization of trajectory analysis results. It integrates nglview and matplotlib to render molecular structures and plot data, enabling you to visualize simulation outputs and analyze conformational changes.