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      MDTraj: A Modern Open Library for the Analysis of Molecular Dynamics Trajectories

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          Abstract

          As molecular dynamics (MD) simulations continue to evolve into powerful computational tools for studying complex biomolecular systems, the necessity of flexible and easy-to-use software tools for the analysis of these simulations is growing. We have developed MDTraj, a modern, lightweight, and fast software package for analyzing MD simulations. MDTraj reads and writes trajectory data in a wide variety of commonly used formats. It provides a large number of trajectory analysis capabilities including minimal root-mean-square-deviation calculations, secondary structure assignment, and the extraction of common order parameters. The package has a strong focus on interoperability with the wider scientific Python ecosystem, bridging the gap between MD data and the rapidly growing collection of industry-standard statistical analysis and visualization tools in Python. MDTraj is a powerful and user-friendly software package that simplifies the analysis of MD data and connects these datasets with the modern interactive data science software ecosystem in Python.

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          Author and article information

          Contributors
          Journal
          Biophys J
          Biophys. J
          Biophysical Journal
          The Biophysical Society
          0006-3495
          1542-0086
          20 October 2015
          20 October 2015
          : 109
          : 8
          : 1528-1532
          Affiliations
          [1 ]Department of Chemistry, Stanford University, Stanford, California
          [2 ]Computational Biology Program, Sloan-Kettering Institute, New York, New York
          [3 ]Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee
          [4 ]Department of Chemistry, Rutgers University, Piscataway, New Jersey
          [5 ]Biophysics Program, Stanford University, Stanford, California
          [6 ]Department of Chemistry, University of California, Davis, Davis, California
          [7 ]SLAC National Accelerator Laboratory, Menlo Park, California
          Author notes
          []Corresponding author rmcgibbo@ 123456stanford.edu
          Article
          PMC4623899 PMC4623899 4623899 S0006-3495(15)00826-7
          10.1016/j.bpj.2015.08.015
          4623899
          26488642
          358f2fc3-d922-4928-93fa-a1f8d55343ab
          © 2015 by the Biophysical Society.
          History
          : 23 June 2015
          : 10 August 2015
          Categories
          Computational Tools

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