Open AccessBook
Scalable Molecular Dynamics with NAMD
James C. Phillips,Klaus Schulten,Abhinav Bhatele,Chao Mei,Y. Sun,Laxmikant V. Kale +5 more
- 14 Dec 2012
TL;DR: NAMD is a parallel molecular dynamics code designed for high‐performance simulation of large biomolecular systems in realistic environments of 100,000 atoms.
read more
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. © 2005 Wiley Periodicals, Inc. J Comput Chem 26: 1781–1802, 2005
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers
Mark Abraham,Teemu Murtola,Roland Schulz,Roland Schulz,Szilárd Páll,Jeremy C. Smith,Jeremy C. Smith,Berk Hess,Erik Lindahl,Erik Lindahl +9 more
TL;DR: GROMACS is one of the most widely used open-source and free software codes in chemistry, used primarily for dynamical simulations of biomolecules, and provides a rich set of calculation types.
20.1K
CHARMM: the biomolecular simulation program.
Bernard R. Brooks,Charles L. Brooks,Alexander D. MacKerell,Lennart Nilsson,Robert J. Petrella,Benoît Roux,Youngdo Won,Georgios Archontis,Christian Bartels,Stefan Boresch,Amedeo Caflisch,Leo S. D. Caves,Qiang Cui,Aaron R. Dinner,Michael Feig,Stefan Fischer,Jiali Gao,Milan Hodošček,Wonpil Im,K. Kuczera,Themis Lazaridis,Jianpeng Ma,V. Ovchinnikov,Emanuele Paci,Richard W. Pastor,Carol Beth Post,Jingzhi Pu,M. Schaefer,Bruce Tidor,Richard M. Venable,H. L. Woodcock,Xiongwu Wu,Wei Yang,Darrin M. York,Martin Karplus,Martin Karplus +35 more
TL;DR: An overview of the CHARMM program as it exists today is provided with an emphasis on developments since the publication of the original CHARMM article in 1983.
Gromacs 4.5
Sander Pronk,Szilárd Páll,Szilárd Páll,Roland Schulz,Roland Schulz,Per Larsson,Pär Bjelkmar,Pär Bjelkmar,Rossen Apostolov,Rossen Apostolov,Michael R. Shirts,Jeremy C. Smith,Jeremy C. Smith,Peter M. Kasson,David van der Spoel,David van der Spoel,Berk Hess,Berk Hess,Erik Lindahl,Erik Lindahl,Erik Lindahl +20 more
TL;DR: A range of new simulation algorithms and features developed during the past 4 years are presented, leading up to the GROMACS 4.5 software package, which provides extremely high performance and cost efficiency for high-throughput as well as massively parallel simulations.
7.1K
CHARMM-GUI: a web-based graphical user interface for CHARMM.
TL;DR: The CHARMM-GUI as mentioned in this paper is a web-based graphical user interface to generate various input files and molecular systems to facilitate and standardize the usage of common and advanced simulation techniques in CHARMM.
6.9K
CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields.
Kenno Vanommeslaeghe,Elizabeth Hatcher,Chayan Acharya,Sibsankar Kundu,Shijun Zhong,Jihyun Shim,Eva Darian,Olgun Guvench,Pedro E. M. Lopes,Igor Vorobyov,Alexander D. MacKerell +10 more
TL;DR: An extension of the CHARMM force field to drug‐like molecules is presented, making it possible to perform “all‐CHARMM” simulations on drug‐target interactions thereby extending the utility ofCHARMM force fields to medicinally relevant systems.
References
Generalized Gradient Approximation Made Simple
TL;DR: A simple derivation of a simple GGA is presented, in which all parameters (other than those in LSD) are fundamental constants, and only general features of the detailed construction underlying the Perdew-Wang 1991 (PW91) GGA are invoked.
Self-Consistent Equations Including Exchange and Correlation Effects
Walter Kohn,L. J. Sham +1 more
TL;DR: In this paper, the Hartree and Hartree-Fock equations are applied to a uniform electron gas, where the exchange and correlation portions of the chemical potential of the gas are used as additional effective potentials.
VMD: Visual molecular dynamics
TL;DR: VMD is a molecular graphics program designed for the display and analysis of molecular assemblies, in particular biopolymers such as proteins and nucleic acids, which can simultaneously display any number of structures using a wide variety of rendering styles and coloring methods.
57.9K
Density-functional exchange-energy approximation with correct asymptotic behavior.
TL;DR: This work reports a gradient-corrected exchange-energy functional, containing only one parameter, that fits the exact Hartree-Fock exchange energies of a wide variety of atomic systems with remarkable accuracy, surpassing the performance of previous functionals containing two parameters or more.
Fast parallel algorithms for short-range molecular dynamics
Steven J. Plimpton
- 01 May 1993
TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
33.4K
Related Papers (5)
Alexander D. MacKerell,D. Bashford,M. Bellott,Roland L. Dunbrack,Jeffrey D. Evanseck,Martin J. Field,Stefan Fischer,Jiali Gao,H. Guo,S. Ha,Diane Joseph-McCarthy,L. Kuchnir,K. Kuczera,F. T. K. Lau,C. Mattos,Stephen W. Michnick,Thien H. Ngo,D. T. Nguyen,B. Prodhom,W. E. Reiher,Benoît Roux,M. Schlenkrich,Jeremy C. Smith,Roland H. Stote,John E. Straub,Masakatsu Watanabe,J. Wiórkiewicz-Kuczera,D. Yin,Martin Karplus +28 more