Literature DB >> 24920464

Gro2mat: a package to efficiently read gromacs output in MATLAB.

Hung Dien1, Charlotte M Deane, Bernhard Knapp.   

Abstract

Molecular dynamics (MD) simulations are a state-of-the-art computational method used to investigate molecular interactions at atomic scale. Interaction processes out of experimental reach can be monitored using MD software, such as Gromacs. Here, we present the gro2mat package that allows fast and easy access to Gromacs output files from Matlab. Gro2mat enables direct parsing of the most common Gromacs output formats including the binary xtc-format. No openly available Matlab parser currently exists for this format. The xtc reader is orders of magnitudes faster than other available pdb/ascii workarounds. Gro2mat is especially useful for scientists with an interest in quick prototyping of new mathematical and statistical approaches for Gromacs trajectory analyses. © 2014 Wiley Periodicals, Inc.
Copyright © 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  Gromacs; Matlab; molecular dynamics simulations

Mesh:

Substances:

Year:  2014        PMID: 24920464     DOI: 10.1002/jcc.23650

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  4 in total

1.  Large scale characterization of the LC13 TCR and HLA-B8 structural landscape in reaction to 172 altered peptide ligands: a molecular dynamics simulation study.

Authors:  Bernhard Knapp; James Dunbar; Charlotte M Deane
Journal:  PLoS Comput Biol       Date:  2014-08-07       Impact factor: 4.475

2.  Exploring peptide/MHC detachment processes using hierarchical natural move Monte Carlo.

Authors:  Bernhard Knapp; Samuel Demharter; Charlotte M Deane; Peter Minary
Journal:  Bioinformatics       Date:  2015-09-22       Impact factor: 6.937

3.  How peptide/MHC presence affects the dynamics of the LC13 T-cell receptor.

Authors:  Jose Luis Dominguez; Bernhard Knapp
Journal:  Sci Rep       Date:  2019-02-25       Impact factor: 4.379

4.  MHC binding affects the dynamics of different T-cell receptors in different ways.

Authors:  Bernhard Knapp; P Anton van der Merwe; Omer Dushek; Charlotte M Deane
Journal:  PLoS Comput Biol       Date:  2019-09-09       Impact factor: 4.475

  4 in total

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