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.
PMID: 31065808