| Literature DB >> 30351057 |
Thibault Tubiana1, Jean-Charles Carvaillo1, Yves Boulard1, Stéphane Bressanelli1.
Abstract
It is extremely helpful to be able to partition the thousands of frames produced in molecular dynamics simulations into a limited number of most dissimilar conformations. While robust clustering algorithms are already available to do so, there is a distinct need for an easy-to-use clustering program with complete user control, taking as input a trajectory from any molecular dynamics (MD) package and outputting an intuitive display of results with plots allowing at-a-glance analysis. We present TTClust (for Trusty Trajectory Clustering), a python program that uses the MDTraj package to fill this need.Entities:
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Year: 2018 PMID: 30351057 DOI: 10.1021/acs.jcim.8b00512
Source DB: PubMed Journal: J Chem Inf Model ISSN: 1549-9596 Impact factor: 4.956