Publication | Closed Access
TTClust: A Versatile Molecular Simulation Trajectory Clustering Program with Graphical Summaries
210
Citations
14
References
2018
Year
EngineeringMolecular BiologyComputational ChemistryGraphical SummariesMolecular DynamicsTrajectory AnalysisMolecular ComputingMolecular GraphicMolecular DesignMolecular SimulationBiological Network VisualizationBiophysicsBioinformaticsTrusty Trajectory ClusteringComputational BiologyMdtraj PackageSystems BiologyMedicineComputational Biophysics
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.
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