CHAPERONg: A tool for automated GROMACS-based molecular dynamics simulations and trajectory analyses

Area of Science:

• Computational Biology
• Biophysics
• Structural Biology

Background:

• Molecular dynamics (MD) simulations are crucial for atomic-level analysis of biological systems.
• GROMACS is a popular, efficient, open-source software for MD simulations.
• Setting up and analyzing MD simulations can be complex and time-consuming.

Purpose of the Study:

• To introduce CHAPERONg, a novel tool for automating GROMACS MD simulation workflows.
• To enhance accessibility of MD simulations for both novice and expert users.
• To provide comprehensive post-simulation analysis capabilities.

Main Methods:

• CHAPERONg automates GROMACS pipelines for protein and protein-ligand systems.
• It integrates GROMACS modules and third-party tools for trajectory analysis.
• The tool supports steered MD and umbrella sampling for biased simulations.

Main Results:

• CHAPERONg offers automated setup, execution, and analysis of MD simulations.
• It provides over 20 types of post-simulation processing and trajectory analyses.
• Biased MD simulation workflows are streamlined and automated.

Conclusions:

• CHAPERONg significantly simplifies and accelerates GROMACS MD simulation processes.
• The tool democratizes access to advanced computational methods in biomolecular research.
• CHAPERONg empowers researchers to focus on interpretation rather than procedural complexities.