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MD-TASK: a software suite for analyzing molecular dynamics trajectories
SUMMARY: Molecular dynamics (MD) determines the physical motions of atoms of a biological macromolecule in a cell-like environment and is an important method in structural bioinformatics. Traditionally, measurements such as root mean square deviation, root mean square fluctuation, radius of gyration...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860072/ https://www.ncbi.nlm.nih.gov/pubmed/28575169 http://dx.doi.org/10.1093/bioinformatics/btx349 |
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author | Brown, David K Penkler, David L Sheik Amamuddy, Olivier Ross, Caroline Atilgan, Ali Rana Atilgan, Canan Tastan Bishop, Özlem |
author_facet | Brown, David K Penkler, David L Sheik Amamuddy, Olivier Ross, Caroline Atilgan, Ali Rana Atilgan, Canan Tastan Bishop, Özlem |
author_sort | Brown, David K |
collection | PubMed |
description | SUMMARY: Molecular dynamics (MD) determines the physical motions of atoms of a biological macromolecule in a cell-like environment and is an important method in structural bioinformatics. Traditionally, measurements such as root mean square deviation, root mean square fluctuation, radius of gyration, and various energy measures have been used to analyze MD simulations. Here, we present MD-TASK, a novel software suite that employs graph theory techniques, perturbation response scanning, and dynamic cross-correlation to provide unique ways for analyzing MD trajectories. AVAILABILITY AND IMPLEMENTATION: MD-TASK has been open-sourced and is available for download from https://github.com/RUBi-ZA/MD-TASK, implemented in Python and supported on Linux/Unix. |
format | Online Article Text |
id | pubmed-5860072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58600722018-03-23 MD-TASK: a software suite for analyzing molecular dynamics trajectories Brown, David K Penkler, David L Sheik Amamuddy, Olivier Ross, Caroline Atilgan, Ali Rana Atilgan, Canan Tastan Bishop, Özlem Bioinformatics Applications Notes SUMMARY: Molecular dynamics (MD) determines the physical motions of atoms of a biological macromolecule in a cell-like environment and is an important method in structural bioinformatics. Traditionally, measurements such as root mean square deviation, root mean square fluctuation, radius of gyration, and various energy measures have been used to analyze MD simulations. Here, we present MD-TASK, a novel software suite that employs graph theory techniques, perturbation response scanning, and dynamic cross-correlation to provide unique ways for analyzing MD trajectories. AVAILABILITY AND IMPLEMENTATION: MD-TASK has been open-sourced and is available for download from https://github.com/RUBi-ZA/MD-TASK, implemented in Python and supported on Linux/Unix. Oxford University Press 2017-09-01 2017-05-31 /pmc/articles/PMC5860072/ /pubmed/28575169 http://dx.doi.org/10.1093/bioinformatics/btx349 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Brown, David K Penkler, David L Sheik Amamuddy, Olivier Ross, Caroline Atilgan, Ali Rana Atilgan, Canan Tastan Bishop, Özlem MD-TASK: a software suite for analyzing molecular dynamics trajectories |
title | MD-TASK: a software suite for analyzing molecular dynamics trajectories |
title_full | MD-TASK: a software suite for analyzing molecular dynamics trajectories |
title_fullStr | MD-TASK: a software suite for analyzing molecular dynamics trajectories |
title_full_unstemmed | MD-TASK: a software suite for analyzing molecular dynamics trajectories |
title_short | MD-TASK: a software suite for analyzing molecular dynamics trajectories |
title_sort | md-task: a software suite for analyzing molecular dynamics trajectories |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860072/ https://www.ncbi.nlm.nih.gov/pubmed/28575169 http://dx.doi.org/10.1093/bioinformatics/btx349 |
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