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PMID: 16222654 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Scalable molecular dynamics with NAMD.

Journal of computational chemistry ·Vol. 26 ·No. 16 ·2005-12-00 ·Pages 1781-802

Phillips JC, Braun R, Wang W, Gumbart J, Tajkhorshid E, Villa E, Chipot C, Skeel RD, Kalé L, Schulten K

Abstract

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.

MeSH Terms
Algorithms Aquaporins/chemistry Cell Membrane/chemistry Computer Simulation Glycophorins/chemistry Models, Biological Models, Chemical Models, Molecular Repressor Proteins/chemistry Software Software Design Static Electricity Ubiquitin/chemistry
Chemicals
Aquaporins Glycophorins Repressor Proteins Ubiquitin
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Phillips James C
Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Braun Rosemary
Wang Wei
Gumbart James
Tajkhorshid Emad
Villa Elizabeth
Chipot Christophe
Skeel Robert D
Kalé Laxmikant
Schulten Klaus
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Article Info
Journal
Journal of computational chemistry
Abbr.
J Comput Chem
ISSN
0192-8651
Published
2005-12-00
Pages
1781-802
Language
English
Region
United States
NLM ID
9878362
PMCID
PMC2486339
Subset
IM
Grants
NCRR NIH HHS · P41 RR005969 · United States
NCRR NIH HHS · P41 RR005969-11 · United States
NCRR NIH HHS · NIH P41 RR05969 · United States
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