pyGROMODS: a Python package for the generation of input files for molecular dynamic simulation with GROMACS.

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Titel: pyGROMODS: a Python package for the generation of input files for molecular dynamic simulation with GROMACS.
Autoren: Daniyan MO; Department of Pharmacology, Obafemi Awolowo University, Ile-Ife, Osun, Nigeria.
Quelle: Journal of biomolecular structure & dynamics [J Biomol Struct Dyn] 2024 Sep; Vol. 42 (14), pp. 7207-7220. Date of Electronic Publication: 2023 Jul 24.
Publikationsart: Journal Article
Sprache: English
Info zur Zeitschrift: Publisher: Taylor & Francis Country of Publication: England NLM ID: 8404176 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1538-0254 (Electronic) Linking ISSN: 07391102 NLM ISO Abbreviation: J Biomol Struct Dyn Subsets: MEDLINE
Imprint Name(s): Publication: June 2012- : Oxon, UK : Taylor & Francis
Original Publication: Guilderland, NY : Adenine Press, [c1983-
MeSH-Schlagworte: Software* , Molecular Dynamics Simulation* , Proteins*/chemistry, Ligands ; User-Computer Interface ; Programming Languages ; Peptides/chemistry
Abstract: The pyGROMODS, an easy-to-use cross-platform python-based package, with a graphical user interface, for the generation of molecular dynamic (MD) input files and running MD simulation (MDS) of proteins, peptides, and protein-ligand complex using GROMACS, is here presented. Four routes, with underlining Python scripts, are implemented in pyGROMODS for the generation of MD input files. They are 'RLmulti' for processing multi-ligand protein complex, 'RLmany' for processing multiple ligands against a single protein target, 'RLsingle' for processing multiple pairs of proteins and ligands, and 'PPmore' for processing peptides or proteins without ligands or non-standard residues. In addition, using the package, the generated input files or appropriate input files from other sources can be uploaded to run MDS with GROMACS. The pyGROMODS is implemented with a unique ability to search the host machine systems for the installation of the required software, update and/or install required Python packages, allow the user to pre-define working directory, and generate unique workflow organization with well-defined folders and files in a well-organized manner. The pyGROMODS, which is released under the MIT License, is freely available for download via the GitHub (https://github.com/Dankem/pyGROMODS) and Zenodo (https://doi.org/10.5281/zenodo.7912747) repositories. The precompiled executables can also be downloaded from Zenodo (https://doi.org/10.5281/zenodo.8087090), and a video tutorial can be downloaded from https://youtu.be/I4OKc6uVx1M.Communicated by Ramaswamy H. Sarma.
Contributed Indexing: Keywords: GROMACS; Python; computer aided drug discovery; molecular dynamic; pyGROMODS
Substance Nomenclature: 0 (Proteins)
0 (Ligands)
0 (Peptides)
Entry Date(s): Date Created: 20230725 Date Completed: 20240816 Latest Revision: 20240816
Update Code: 20250114
DOI: 10.1080/07391102.2023.2239929
PMID: 37489036
Datenbank: MEDLINE
Beschreibung
Abstract:The pyGROMODS, an easy-to-use cross-platform python-based package, with a graphical user interface, for the generation of molecular dynamic (MD) input files and running MD simulation (MDS) of proteins, peptides, and protein-ligand complex using GROMACS, is here presented. Four routes, with underlining Python scripts, are implemented in pyGROMODS for the generation of MD input files. They are 'RLmulti' for processing multi-ligand protein complex, 'RLmany' for processing multiple ligands against a single protein target, 'RLsingle' for processing multiple pairs of proteins and ligands, and 'PPmore' for processing peptides or proteins without ligands or non-standard residues. In addition, using the package, the generated input files or appropriate input files from other sources can be uploaded to run MDS with GROMACS. The pyGROMODS is implemented with a unique ability to search the host machine systems for the installation of the required software, update and/or install required Python packages, allow the user to pre-define working directory, and generate unique workflow organization with well-defined folders and files in a well-organized manner. The pyGROMODS, which is released under the MIT License, is freely available for download via the GitHub (https://github.com/Dankem/pyGROMODS) and Zenodo (https://doi.org/10.5281/zenodo.7912747) repositories. The precompiled executables can also be downloaded from Zenodo (https://doi.org/10.5281/zenodo.8087090), and a video tutorial can be downloaded from https://youtu.be/I4OKc6uVx1M.Communicated by Ramaswamy H. Sarma.
ISSN:1538-0254
DOI:10.1080/07391102.2023.2239929