Scalable molecular dynamics with NAMD
Тип публикации: Journal Article
Дата публикации: 2005-10-12
scimago Q1
wos Q2
БС1
SJR: 0.933
CiteScore: 6.5
Impact factor: 4.8
ISSN: 01928651, 1096987X
PubMed ID:
16222654
General Chemistry
Computational Mathematics
Краткое описание
NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD scales to hundreds of processors on high-end parallel platforms, as well as tens of processors on low-cost commodity clusters, and also runs on individual desktop and laptop computers. NAMD works with AMBER and CHARMM potential functions, parameters, and file formats. This article, directed to novices as well as experts, first introduces concepts and methods used in the NAMD program, describing the classical molecular dynamics force field, equations of motion, and integration methods along with the efficient electrostatics evaluation algorithms employed and temperature and pressure controls used. Features for steering the simulation across barriers and for calculating both alchemical and conformational free energy differences are presented. The motivations for and a roadmap to the internal design of NAMD, implemented in C++ and based on Charm++ parallel objects, are outlined. The factors affecting the serial and parallel performance of a simulation are discussed. Finally, typical NAMD use is illustrated with representative applications to a small, a medium, and a large biomolecular system, highlighting particular features of NAMD, for example, the Tcl scripting language. The article also provides a list of the key features of NAMD and discusses the benefits of combining NAMD with the molecular graphics/sequence analysis software VMD and the grid computing/collaboratory software BioCoRE. NAMD is distributed free of charge with source code at www.ks.uiuc.edu.
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Phillips J. C. et al. Scalable molecular dynamics with NAMD // Journal of Computational Chemistry. 2005. Vol. 26. No. 16. pp. 1781-1802.
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Phillips J. C., Braun R. I., Wang W., Gumbart J. C., Tajkhorshid E., Villa E., Christophe C., Skeel R., Kalé L. V., Schulten K. Scalable molecular dynamics with NAMD // Journal of Computational Chemistry. 2005. Vol. 26. No. 16. pp. 1781-1802.
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TY - JOUR
DO - 10.1002/jcc.20289
UR - https://doi.org/10.1002/jcc.20289
TI - Scalable molecular dynamics with NAMD
T2 - Journal of Computational Chemistry
AU - Phillips, James C.
AU - Braun, Rosemary I.
AU - Wang, Wei
AU - Gumbart, James C.
AU - Tajkhorshid, Emad
AU - Villa, Elizabeth
AU - Christophe, Chipot
AU - Skeel, Robert
AU - Kalé, Laxmikant V.
AU - Schulten, Klaus
PY - 2005
DA - 2005/10/12
PB - Wiley
SP - 1781-1802
IS - 16
VL - 26
PMID - 16222654
SN - 0192-8651
SN - 1096-987X
ER -
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@article{2005_Phillips,
author = {James C. Phillips and Rosemary I. Braun and Wei Wang and James C. Gumbart and Emad Tajkhorshid and Elizabeth Villa and Chipot Christophe and Robert Skeel and Laxmikant V. Kalé and Klaus Schulten},
title = {Scalable molecular dynamics with NAMD},
journal = {Journal of Computational Chemistry},
year = {2005},
volume = {26},
publisher = {Wiley},
month = {oct},
url = {https://doi.org/10.1002/jcc.20289},
number = {16},
pages = {1781--1802},
doi = {10.1002/jcc.20289}
}
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Phillips, James C., et al. “Scalable molecular dynamics with NAMD.” Journal of Computational Chemistry, vol. 26, no. 16, Oct. 2005, pp. 1781-1802. https://doi.org/10.1002/jcc.20289.