MDTraj: A modern open library for the analysis of molecular dynamics trajectories Journal Article


Authors: McGibbon, R. T.; Beauchamp, K. A.; Harrigan, M. P.; Klein, C.; Swails, J. M.; Hernández, C. X.; Schwantes, C. R.; Wang, L. P.; Lane, T. J.; Pande, V. S.
Article Title: MDTraj: A modern open library for the analysis of molecular dynamics trajectories
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. © 2015 Biophysical Society.
Journal Title: Biophysical Journal
Volume: 109
Issue: 8
ISSN: 0006-3495
Publisher: Cell Press  
Date Published: 2015-10-20
Start Page: 1528
End Page: 1532
Language: English
DOI: 10.1016/j.bpj.2015.08.015
PROVIDER: scopus
PUBMED: 26488642
PMCID: PMC4623899
DOI/URL:
Notes: Export Date: 2 November 2015 -- Source: Scopus
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