Literature DB >> 18446282

Comparison of protein force fields for molecular dynamics simulations.

Olgun Guvench1, Alexander D MacKerell.   

Abstract

In the context of molecular dynamics simulations of proteins, the term "force field" refers to the combination of a mathematical formula and associated parameters that are used to describe the energy of the protein as a function of its atomic coordinates. In this review, we describe the functional forms and parameterization protocols of the widely used biomolecular force fields Amber, CHARMM, GROMOS, and OPLS-AA. We also summarize the ability of various readily available noncommercial molecular dynamics packages to perform simulations using these force fields, as well as to use modern methods for the generation of constant-temperature, constant-pressure ensembles and to treat long-range interactions. Finally, we finish with a discussion of the ability of these force fields to support the modeling of proteins in conjunction with nucleic acids, lipids, carbohydrates, and/or small molecules.

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Year:  2008        PMID: 18446282     DOI: 10.1007/978-1-59745-177-2_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  52 in total

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5.  Sulfation and cation effects on the conformational properties of the glycan backbone of chondroitin sulfate disaccharides.

Authors:  Christina E Faller; Olgun Guvench
Journal:  J Phys Chem B       Date:  2015-05-07       Impact factor: 2.991

6.  Drude polarizable force field for aliphatic ketones and aldehydes, and their associated acyclic carbohydrates.

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7.  Identification of specific lipid-binding sites in integral membrane proteins.

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Journal:  J Biol Chem       Date:  2010-02-05       Impact factor: 5.157

8.  Rescoring of docking poses under Occam's Razor: are there simpler solutions?

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Journal:  J Comput Aided Mol Des       Date:  2018-09-01       Impact factor: 3.686

Review 9.  Microscopic Characterization of Membrane Transporter Function by In Silico Modeling and Simulation.

Authors:  J V Vermaas; N Trebesch; C G Mayne; S Thangapandian; M Shekhar; P Mahinthichaichan; J L Baylon; T Jiang; Y Wang; M P Muller; E Shinn; Z Zhao; P-C Wen; E Tajkhorshid
Journal:  Methods Enzymol       Date:  2016-07-11       Impact factor: 1.600

10.  T-cell epitope prediction and immune complex simulation using molecular dynamics: state of the art and persisting challenges.

Authors:  Matthew N Davies; Darren R Flower; Kanchan Phadwal; Isabel K Macdonald; Peter V Coveney; Shunzhou Wan
Journal:  Immunome Res       Date:  2010-11-03
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