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MODE-TASK: large-scale protein motion tools.


ABSTRACT: 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.

SUBMITTER: Ross C 

PROVIDER: S-EPMC6198866 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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MODE-TASK: large-scale protein motion tools.

Ross Caroline C   Nizami Bilal B   Glenister Michael M   Sheik Amamuddy Olivier O   Atilgan Ali Rana AR   Atilgan Canan C   Tastan Bishop Özlem Ö  

Bioinformatics (Oxford, England) 20181101 21


<h4>Summary</h4>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 GU  ...[more]

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