Performs and analyzes molecular dynamics simulations using OpenMM and MDAnalysis for biophysics and drug discovery research.
This skill integrates advanced molecular dynamics (MD) workflows into Claude, enabling researchers to set up, run, and analyze complex molecular systems. By leveraging OpenMM for high-performance simulations and MDAnalysis for trajectory processing, it covers the entire pipeline from PDB preparation and force field selection to production MD and statistical analysis. It is designed for applications in protein stability studies, ligand binding characterization, and conformational sampling, providing a robust Python-based framework for structural biology and biophysical modeling.
주요 기능
01Comprehensive trajectory analysis including RMSD, RMSF, and contact mapping
02Energy minimization and multi-stage equilibration (NVT/NPT) protocols
03High-performance simulation setup using OpenMM with GPU support
04Automated system preparation from PDB files including solvation and ionization
05Native support for major force fields including AMBER14 and GAFF2
061 GitHub stars
사용 사례
01Analyzing the impact of genetic mutations on protein structural stability
02Exploring conformational ensembles of intrinsically disordered proteins
03Characterizing binding modes and residence times for drug-ligand complexes