Literature DB >> 19444816

CHARMM: the biomolecular simulation program.

B R Brooks1, C L Brooks, A D Mackerell, L Nilsson, R J Petrella, B Roux, Y Won, G Archontis, C Bartels, S Boresch, A Caflisch, L Caves, Q Cui, A R Dinner, M Feig, S Fischer, J Gao, M Hodoscek, W Im, K Kuczera, T Lazaridis, J Ma, V Ovchinnikov, E Paci, R W Pastor, C B Post, J Z Pu, M Schaefer, B Tidor, R M Venable, H L Woodcock, X Wu, W Yang, D M York, M Karplus.   

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. Copyright 2009 Wiley Periodicals, Inc.

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Year:  2009        PMID: 19444816      PMCID: PMC2810661          DOI: 10.1002/jcc.21287

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  388 in total

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2.  Alchemical free energy calculations and multiple conformational substates.

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Journal:  J Chem Phys       Date:  2005-02-22       Impact factor: 3.488

3.  Gating charge displacement in voltage-gated ion channels involves limited transmembrane movement.

Authors:  Baron Chanda; Osei Kwame Asamoah; Rikard Blunck; Benoît Roux; Francisco Bezanilla
Journal:  Nature       Date:  2005-08-11       Impact factor: 49.962

4.  A unification of the elastic network model and the Gaussian network model for optimal description of protein conformational motions and fluctuations.

Authors:  Wenjun Zheng
Journal:  Biophys J       Date:  2008-01-30       Impact factor: 4.033

5.  Quantum simulation of ferrocytochrome c.

Authors:  C Zheng; C F Wong; J A McCammon; P G Wolynes
Journal:  Nature       Date:  1988-08-25       Impact factor: 49.962

6.  Molecular picture of folding of a small alpha/beta protein.

Authors:  F B Sheinerman; C L Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  1998-02-17       Impact factor: 11.205

7.  Uracil-DNA glycosylase acts by substrate autocatalysis.

Authors:  A R Dinner; G M Blackburn; M Karplus
Journal:  Nature       Date:  2001-10-18       Impact factor: 49.962

8.  Structure activity relationship by NMR and by computer: a comparative study.

Authors:  Finton Sirockin; Christian Sich; Sabina Improta; Michael Schaefer; Vladimir Saudek; Nicolas Froloff; Martin Karplus; Annick Dejaegere
Journal:  J Am Chem Soc       Date:  2002-09-18       Impact factor: 15.419

9.  Calculations of pH-dependent binding of proteins to biological membranes.

Authors:  Maja Mihajlovic; Themis Lazaridis
Journal:  J Phys Chem B       Date:  2006-02-23       Impact factor: 2.991

10.  The structural basis for the transition from Ras-GTP to Ras-GDP.

Authors:  Brian E Hall; Dafna Bar-Sagi; Nicolas Nassar
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-04       Impact factor: 11.205

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  2000 in total

1.  Polarizable force field for RNA based on the classical drude oscillator.

Authors:  Justin A Lemkul; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2018-12-15       Impact factor: 3.376

2.  Aspergillus Secondary Metabolite Database, a resource to understand the Secondary metabolome of Aspergillus genus.

Authors:  Varahalarao Vadlapudi; Nabajyoti Borah; Kanaka Raju Yellusani; Sriramya Gade; Prabhakar Reddy; Maheshwari Rajamanikyam; Lakshmi Narasimha Santosh Vempati; Satya Prakash Gubbala; Pankaj Chopra; Suryanarayana Murty Upadhyayula; Ramars Amanchy
Journal:  Sci Rep       Date:  2017-08-04       Impact factor: 4.379

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Authors:  Elena Formoso; Jon M Matxain; Xabier Lopez; Darrin M York
Journal:  J Phys Chem B       Date:  2010-06-03       Impact factor: 2.991

4.  Molecular description of flexibility in an antibody combining site.

Authors:  Jörg Zimmermann; Floyd E Romesberg; Charles L Brooks; Ian F Thorpe
Journal:  J Phys Chem B       Date:  2010-06-03       Impact factor: 2.991

5.  A gain-of-function mutation of Arabidopsis cryptochrome1 promotes flowering.

Authors:  Vivien Exner; Cristina Alexandre; Gesa Rosenfeldt; Pietro Alfarano; Mena Nater; Amedeo Caflisch; Wilhelm Gruissem; Alfred Batschauer; Lars Hennig
Journal:  Plant Physiol       Date:  2010-10-06       Impact factor: 8.340

6.  The enzymatic reaction catalyzed by lactate dehydrogenase exhibits one dominant reaction path.

Authors:  Jean E Masterson; Steven D Schwartz
Journal:  Chem Phys       Date:  2014-10-16       Impact factor: 2.348

7.  Mouse modeling and structural analysis of the p.G307S mutation in human cystathionine β-synthase (CBS) reveal effects on CBS activity but not stability.

Authors:  Sapna Gupta; Simon Kelow; Liqun Wang; Mark D Andrake; Roland L Dunbrack; Warren D Kruger
Journal:  J Biol Chem       Date:  2018-07-20       Impact factor: 5.157

8.  D-Serine Potently Drives Ligand-Binding Domain Closure in the Ionotropic Glutamate Receptor GluD2.

Authors:  Alfred C Chin; Remy A Yovanno; Tyler J Wied; Ariel Gershman; Albert Y Lau
Journal:  Structure       Date:  2020-07-30       Impact factor: 5.006

9.  Gibbs Sampler-Based λ-Dynamics and Rao-Blackwell Estimator for Alchemical Free Energy Calculation.

Authors:  Xinqiang Ding; Jonah Z Vilseck; Ryan L Hayes; Charles L Brooks
Journal:  J Chem Theory Comput       Date:  2017-05-26       Impact factor: 6.006

10.  In silico-based combinatorial pharmacophore modelling and docking studies of GSK-3β and GK inhibitors of Hippophae.

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Journal:  J Biosci       Date:  2013-11       Impact factor: 1.826

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