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MODE-TASK: large-scale protein motion tools
SUMMARY: MODE-TASK, a novel and versatile software suite, comprises Principal Component Analysis, Multidimensional Scaling, and t-Distributed Stochastic Neighbor Embedding techniques using Molecular Dynamics trajectories. MODE-TASK also includes a Normal Mode Analysis tool based on Anisotropic Netwo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198866/ https://www.ncbi.nlm.nih.gov/pubmed/29850770 http://dx.doi.org/10.1093/bioinformatics/bty427 |
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author | Ross, Caroline Nizami, Bilal Glenister, Michael Sheik Amamuddy, Olivier Atilgan, Ali Rana Atilgan, Canan Tastan Bishop, Özlem |
author_facet | Ross, Caroline Nizami, Bilal Glenister, Michael Sheik Amamuddy, Olivier Atilgan, Ali Rana Atilgan, Canan Tastan Bishop, Özlem |
author_sort | Ross, Caroline |
collection | PubMed |
description | SUMMARY: MODE-TASK, a novel and versatile software suite, comprises Principal Component Analysis, Multidimensional Scaling, and t-Distributed Stochastic Neighbor Embedding techniques using Molecular Dynamics trajectories. MODE-TASK also includes a Normal Mode Analysis tool based on Anisotropic Network Model so as to provide a variety of ways to analyse and compare large-scale motions of protein complexes for which long MD simulations are prohibitive. Beside the command line function, a GUI has been developed as a PyMOL plugin. AVAILABILITY AND IMPLEMENTATION: MODE-TASK is open source, and available for download from https://github.com/RUBi-ZA/MODE-TASK. It is implemented in Python and C++. It is compatible with Python 2.x and Python 3.x and can be installed by Conda. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6198866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61988662018-10-26 MODE-TASK: large-scale protein motion tools Ross, Caroline Nizami, Bilal Glenister, Michael Sheik Amamuddy, Olivier Atilgan, Ali Rana Atilgan, Canan Tastan Bishop, Özlem Bioinformatics Applications Notes SUMMARY: MODE-TASK, a novel and versatile software suite, comprises Principal Component Analysis, Multidimensional Scaling, and t-Distributed Stochastic Neighbor Embedding techniques using Molecular Dynamics trajectories. MODE-TASK also includes a Normal Mode Analysis tool based on Anisotropic Network Model so as to provide a variety of ways to analyse and compare large-scale motions of protein complexes for which long MD simulations are prohibitive. Beside the command line function, a GUI has been developed as a PyMOL plugin. AVAILABILITY AND IMPLEMENTATION: MODE-TASK is open source, and available for download from https://github.com/RUBi-ZA/MODE-TASK. It is implemented in Python and C++. It is compatible with Python 2.x and Python 3.x and can be installed by Conda. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-11-01 2018-05-29 /pmc/articles/PMC6198866/ /pubmed/29850770 http://dx.doi.org/10.1093/bioinformatics/bty427 Text en © The Author(s) 2018. 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 Ross, Caroline Nizami, Bilal Glenister, Michael Sheik Amamuddy, Olivier Atilgan, Ali Rana Atilgan, Canan Tastan Bishop, Özlem MODE-TASK: large-scale protein motion tools |
title | MODE-TASK: large-scale protein motion tools |
title_full | MODE-TASK: large-scale protein motion tools |
title_fullStr | MODE-TASK: large-scale protein motion tools |
title_full_unstemmed | MODE-TASK: large-scale protein motion tools |
title_short | MODE-TASK: large-scale protein motion tools |
title_sort | mode-task: large-scale protein motion tools |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198866/ https://www.ncbi.nlm.nih.gov/pubmed/29850770 http://dx.doi.org/10.1093/bioinformatics/bty427 |
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