| Literature DB >> 26488642 |
Robert T McGibbon1, Kyle A Beauchamp2, Matthew P Harrigan3, Christoph Klein4, Jason M Swails5, Carlos X Hernández6, Christian R Schwantes3, Lee-Ping Wang7, Thomas J Lane8, Vijay S Pande9.
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.Mesh:
Year: 2015 PMID: 26488642 PMCID: PMC4623899 DOI: 10.1016/j.bpj.2015.08.015
Source DB: PubMed Journal: Biophys J ISSN: 0006-3495 Impact factor: 4.033