Literature DB >> 21044566

Absolute protein-protein association rate constants from flexible, coarse-grained Brownian dynamics simulations: the role of intermolecular hydrodynamic interactions in barnase-barstar association.

Tamara Frembgen-Kesner1, Adrian H Elcock.   

Abstract

Theory and computation have long been used to rationalize the experimental association rate constants of protein-protein complexes, and Brownian dynamics (BD) simulations, in particular, have been successful in reproducing the relative rate constants of wild-type and mutant protein pairs. Missing from previous BD studies of association kinetics, however, has been the description of hydrodynamic interactions (HIs) between, and within, the diffusing proteins. Here we address this issue by rigorously including HIs in BD simulations of the barnase-barstar association reaction. We first show that even very simplified representations of the proteins--involving approximately one pseudoatom for every three residues in the protein--can provide excellent reproduction of the absolute association rate constants of wild-type and mutant protein pairs. We then show that simulations that include intermolecular HIs also produce excellent estimates of association rate constants, but, for a given reaction criterion, yield values that are decreased by ∼35-80% relative to those obtained in the absence of intermolecular HIs. The neglect of intermolecular HIs in previous BD simulation studies, therefore, is likely to have contributed to the somewhat overestimated absolute rate constants previously obtained. Consequently, intermolecular HIs could be an important component to include in accurate modeling of the kinetics of macromolecular association events.
Copyright © 2010 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21044566      PMCID: PMC2965997          DOI: 10.1016/j.bpj.2010.09.006

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  14 in total

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Authors:  N Koga; S Takada
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8.  Simulation of the diffusional association of barnase and barstar.

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Authors:  G Schreiber; G Haran; H-X Zhou
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  38 in total

Review 1.  Modeling protein association mechanisms and kinetics.

Authors:  Huan-Xiang Zhou; Paul A Bates
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2.  Krylov subspace methods for computing hydrodynamic interactions in brownian dynamics simulations.

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Journal:  Biophys J       Date:  2011-08-17       Impact factor: 4.033

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Journal:  Phys Biol       Date:  2012-11-29       Impact factor: 2.583

6.  On the importance of hydrodynamic interactions in lipid membrane formation.

Authors:  Tadashi Ando; Jeffrey Skolnick
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7.  Single-molecule imaging and kinetic analysis of cooperative cofilin-actin filament interactions.

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Review 8.  Whole-Cell Models and Simulations in Molecular Detail.

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9.  Calmodulin Gates Aquaporin 0 Permeability through a Positively Charged Cytoplasmic Loop.

Authors:  James B Fields; Karin L Németh-Cahalan; J Alfredo Freites; Irene Vorontsova; James E Hall; Douglas J Tobias
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10.  Parametrization of Backbone Flexibility in a Coarse-Grained Force Field for Proteins (COFFDROP) Derived from All-Atom Explicit-Solvent Molecular Dynamics Simulations of All Possible Two-Residue Peptides.

Authors:  Tamara Frembgen-Kesner; Casey T Andrews; Shuxiang Li; Nguyet Anh Ngo; Scott A Shubert; Aakash Jain; Oluwatoni J Olayiwola; Mitch R Weishaar; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2015-04-30       Impact factor: 6.006

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