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MDAnalysis: A toolkit for the analysis of molecular dynamics simulations

Journal of Computational Chemistry · 2011 · Vol. 32(10) · pp. 2319–2327
Naveen Michaud‐AgrawalElizabeth J. DenningThomas B. WoolfOliver Beckstein

Abstract

MDAnalysis is an object-oriented library for structural and temporal analysis of molecular dynamics (MD) simulation trajectories and individual protein structures. It is written in the Python language with some performance-critical code in C. It uses the powerful NumPy package to expose trajectory data as fast and efficient NumPy arrays. It has been tested on systems of millions of particles. Many common file formats of simulation packages including CHARMM, Gromacs, Amber, and NAMD and the Protein Data Bank format can be read and written. Atoms can be selected with a syntax similar to CHARMM's powerful selection commands. MDAnalysis enables both novice and experienced programmers to rapidly write their own analytical tools and access data stored in trajectories in an easily accessible manner that facilitates interactive explorative analysis. MDAnalysis has been tested on and works for most Unix-based platforms such as Linux and Mac OS X. It is freely available under the GNU General Public License from http://mdanalysis.googlecode.com.

Protein Structure and DynamicsEnzyme Structure and FunctionSpectroscopy and Quantum Chemical StudiesPython (programming language)Computer scienceUnixMac OSProgramming languageOS XSyntaxData structureVerlet integrationMolecular dynamics

MeSH terms

SoftwareComputational BiologyMolecular Dynamics Simulation
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4,288
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References
GROMACS 4:  Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation
Journal of Chemical Theory and Computation · 2008 · 15,846 citations
The Amber biomolecular simulation programs
Journal of Computational Chemistry · 2005 · 9,470 citations
CHARMM: The biomolecular simulation program
Journal of Computational Chemistry · 2009 · 8,960 citations
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