2011
DOI: 10.1002/jcc.21787
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MDAnalysis: A toolkit for the analysis of molecular dynamics simulations

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 fo… Show more

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Cited by 2,752 publications
(2,596 citation statements)
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References 21 publications
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“…All simulations have been performed using the MD code NAMD 67 . For visual inspection, VMD 68 was used and most of the analysis was performed using the Python library MDAnalysis 69 .…”
Section: Methodsmentioning
confidence: 99%
“…All simulations have been performed using the MD code NAMD 67 . For visual inspection, VMD 68 was used and most of the analysis was performed using the Python library MDAnalysis 69 .…”
Section: Methodsmentioning
confidence: 99%
“…A further test simulation was carried out in which a Fe 2ϩ ion was pulled from the outer environment into the C3WT channel to study its effect on the Fe 2ϩ aqua ions located in the C3 channel (a Fe 2ϩ ion was pulled for about 20 Å along the C3 channel to reach the internal cavity using a rate of 2 Å/ns and a spring force constant of 5 kcal/mol Å 2 ). Trajectories were analyzed with the HOLE program (37) and in-house codes written using the MDAnalysis library (38). Channel radius was estimated considering only the heavy atoms of residues shaping the pore.…”
Section: Methodsmentioning
confidence: 99%
“…Analysis was done by GROMACS tools, the MDAnalysis package [22] and in-house Python scripts. We demonstrate conformational changes by the distances between the center of mass of the two NBDs.…”
Section: Molecular Dynamics Simulationsmentioning
confidence: 99%