GRO2LAM

GRO2LAM converts molecular dynamics simulation input files and parameters between GROMACS and LAMMPS to enable cross-software reuse of simulation setups and comparison of simulation outcomes.


Key Features:

  • Modularity: GRO2LAM is structured as a modular codebase to allow flexible integration into analysis workflows.
  • Python 2.7 implementation: The converter is implemented in Python 2.7 for executing its conversion routines.
  • Format translation: Translates GROMACS input files and parameters into formats compatible with LAMMPS.
  • Robustness assessment: Conversion accuracy has been evaluated by comparing simulation outcomes between GROMACS and LAMMPS after conversion.

Scientific Applications:

  • Nanomaterials research: Enables interoperability for simulations of nanomaterials relevant to engineering and biomedical fields.
  • Carbon Nanotube Simulations: Facilitates studies of carbon nanotube physical-chemical properties by converting simulation inputs between GROMACS and LAMMPS.
  • Iron Oxide Nanoparticle Analysis: Supports simulation studies of iron oxide nanoparticles through translation of input files and parameters.
  • Protein-Water Interaction Studies: Supports molecular dynamics investigations of protein dynamics in aqueous environments via cross-software conversion of inputs.

Methodology:

Implemented in Python 2.7; performs conversion of GROMACS input files and parameters into LAMMPS-compatible formats and evaluates robustness by comparing simulation outcomes between GROMACS and LAMMPS.

Topics

Details

License:
MIT
Maturity:
Mature
Cost:
Free of charge
Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Chávez Thielemann H, Cardellini A, Fasano M, Bergamasco L, Alberghini M, Ciorra G, Chiavazzo E, Asinari P. From GROMACS to LAMMPS: GRO2LAM. Journal of Molecular Modeling. 2019;25(6). doi:10.1007/s00894-019-4011-x. PMID:31065808.

Documentation

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