CHARMM: The biomolecular simulation program

Bernard R. Brooks(National Institutes of Health), Charles L. Brooks(University of Michigan), Alexander D. MacKerell(University of Maryland, Baltimore), Lennart Nilsson(Karolinska Institutet), Robert J. Petrella(Harvard University), Benoı̂t Roux(University of Chicago), Youngdo Won(Hanyang University), Georgios Archontis(National Institutes of Health), Christian Bartels(National Institutes of Health), Stefan Boresch(National Institutes of Health), Amedeo Caflisch(National Institutes of Health), Leo S. D. Caves(National Institutes of Health), Qiang Cui(National Institutes of Health), Aaron R. Dinner(National Institutes of Health), Michael Feig(National Institutes of Health), Stefan Fischer(National Institutes of Health), Jun Gao(National Institutes of Health), Milan Hodošček(National Institutes of Health), Wonpil Im(National Institutes of Health), Krzysztof Kuczera(National Institutes of Health), Themis Lazaridis(National Institutes of Health), Jianpeng Ma(National Institutes of Health), Victor Ovchinnikov(National Institutes of Health), Emanuele Paci(National Institutes of Health), Richard W. Pastor(National Institutes of Health), Carol Beth Post(National Institutes of Health), Jingzhi Pu(National Institutes of Health), Michael Schaefer(National Institutes of Health), Bruce Tidor(National Institutes of Health), Richard M. Venable(National Institutes of Health), H. Lee Woodcock(National Institutes of Health), Xiaojing Wu(National Institutes of Health), Wei Yang(National Institutes of Health), Darrin M. York(National Institutes of Health), Martin Karplus(Harvard University)
Journal of Computational Chemistry
May 14, 2009
Cited by 9,092Open Access
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Abstract

CHARMM (Chemistry at HARvard Molecular Mechanics) is a highly versatile and widely used molecular simulation program. It has been developed over the last three decades with a primary focus on molecules of biological interest, including proteins, peptides, lipids, nucleic acids, carbohydrates, and small molecule ligands, as they occur in solution, crystals, and membrane environments. For the study of such systems, the program provides a large suite of computational tools that include numerous conformational and path sampling methods, free energy estimators, molecular minimization, dynamics, and analysis techniques, and model-building capabilities. The CHARMM program is applicable to problems involving a much broader class of many-particle systems. Calculations with CHARMM can be performed using a number of different energy functions and models, from mixed quantum mechanical-molecular mechanical force fields, to all-atom classical potential energy functions with explicit solvent and various boundary conditions, to implicit solvent and membrane models. The program has been ported to numerous platforms in both serial and parallel architectures. This article provides an overview of the program as it exists today with an emphasis on developments since the publication of the original CHARMM article in 1983.


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