Gro2mat: a package to efficiently read gromacs output in MATLAB

Area of Science:

• Computational chemistry
• Biophysics
• Materials science

Background:

• Molecular dynamics (MD) simulations are crucial for studying molecular interactions at the atomic level.
• Gromacs is a widely used software package for MD simulations.
• Analyzing large MD simulation datasets, especially from binary formats like xtc, can be computationally intensive and challenging within environments like Matlab.

Purpose of the Study:

• To introduce the gro2mat package, a novel tool for seamless integration of Gromacs output data into Matlab.
• To provide scientists with a faster and more efficient method for analyzing molecular dynamics trajectories.
• To facilitate the development and testing of new mathematical and statistical methods for MD data analysis.

Main Methods:

• Development of the gro2mat package for parsing Gromacs output files.
• Implementation of a highly efficient reader for the binary xtc trajectory format.
• Integration of parsing capabilities within the Matlab environment.

Main Results:

• Gro2mat provides direct and fast access to common Gromacs output formats, including the xtc file format.
• The xtc reader in gro2mat is significantly faster (orders of magnitude) than existing workarounds using PDB or ASCII formats.
• The package enables straightforward data import for advanced analysis within Matlab.

Conclusions:

• Gro2mat significantly enhances the accessibility and analysis of Gromacs simulation data within Matlab.
• The package accelerates the prototyping of new analytical approaches for molecular dynamics trajectories.
• Gro2mat is a valuable tool for researchers needing to perform complex analyses on MD simulation data.