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024 7 |a 10.1002/jcc.21287  |2 doi 
028 5 2 |a pubmed24n1404.xml 
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040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Brooks, B R  |e verfasserin  |4 aut 
245 1 0 |a CHARMM  |b the biomolecular simulation program 
264 1 |c 2009 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 29.07.2009 
500 |a Date Revised 11.05.2024 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a Copyright 2009 Wiley Periodicals, Inc. 
520 |a 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 
650 4 |a Journal Article 
650 4 |a Research Support, N.I.H., Extramural 
650 4 |a Research Support, N.I.H., Intramural 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Research Support, U.S. Gov't, Non-P.H.S. 
650 4 |a Review 
650 7 |a Carbohydrates  |2 NLM 
650 7 |a Lipids  |2 NLM 
650 7 |a Nucleic Acids  |2 NLM 
650 7 |a Peptides  |2 NLM 
650 7 |a Proteins  |2 NLM 
700 1 |a Brooks, C L  |c 3rd  |e verfasserin  |4 aut 
700 1 |a Mackerell, A D  |c Jr  |e verfasserin  |4 aut 
700 1 |a Nilsson, L  |e verfasserin  |4 aut 
700 1 |a Petrella, R J  |e verfasserin  |4 aut 
700 1 |a Roux, B  |e verfasserin  |4 aut 
700 1 |a Won, Y  |e verfasserin  |4 aut 
700 1 |a Archontis, G  |e verfasserin  |4 aut 
700 1 |a Bartels, C  |e verfasserin  |4 aut 
700 1 |a Boresch, S  |e verfasserin  |4 aut 
700 1 |a Caflisch, A  |e verfasserin  |4 aut 
700 1 |a Caves, L  |e verfasserin  |4 aut 
700 1 |a Cui, Q  |e verfasserin  |4 aut 
700 1 |a Dinner, A R  |e verfasserin  |4 aut 
700 1 |a Feig, M  |e verfasserin  |4 aut 
700 1 |a Fischer, S  |e verfasserin  |4 aut 
700 1 |a Gao, J  |e verfasserin  |4 aut 
700 1 |a Hodoscek, M  |e verfasserin  |4 aut 
700 1 |a Im, W  |e verfasserin  |4 aut 
700 1 |a Kuczera, K  |e verfasserin  |4 aut 
700 1 |a Lazaridis, T  |e verfasserin  |4 aut 
700 1 |a Ma, J  |e verfasserin  |4 aut 
700 1 |a Ovchinnikov, V  |e verfasserin  |4 aut 
700 1 |a Paci, E  |e verfasserin  |4 aut 
700 1 |a Pastor, R W  |e verfasserin  |4 aut 
700 1 |a Post, C B  |e verfasserin  |4 aut 
700 1 |a Pu, J Z  |e verfasserin  |4 aut 
700 1 |a Schaefer, M  |e verfasserin  |4 aut 
700 1 |a Tidor, B  |e verfasserin  |4 aut 
700 1 |a Venable, R M  |e verfasserin  |4 aut 
700 1 |a Woodcock, H L  |e verfasserin  |4 aut 
700 1 |a Wu, X  |e verfasserin  |4 aut 
700 1 |a Yang, W  |e verfasserin  |4 aut 
700 1 |a York, D M  |e verfasserin  |4 aut 
700 1 |a Karplus, M  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Journal of computational chemistry  |d 1984  |g 30(2009), 10 vom: 30. Juli, Seite 1545-614  |w (DE-627)NLM098138448  |x 1096-987X  |7 nnns 
773 1 8 |g volume:30  |g year:2009  |g number:10  |g day:30  |g month:07  |g pages:1545-614 
856 4 0 |u http://dx.doi.org/10.1002/jcc.21287  |3 Volltext 
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