Literature DB >> 17616119

A coarse-grained protein-protein potential derived from an all-atom force field.

Nathalie Basdevant1, Daniel Borgis, Tap Ha-Duong.   

Abstract

In order to study protein-protein nonbonded interactions, we present the development of a new reduced protein model that represents each amino acid residue with one to three coarse grains, whose physical properties are derived in a consistent bottom-up procedure from the higher-resolution all-atom AMBER force field. The resulting potential energy function is pairwise additive and includes distinct van-der-Waals and Coulombic terms. The van-der-Waals effective interactions are deduced from preliminary molecular dynamics simulations of all possible amino acid homodimers. They are best represented by a soft 1/r6 repulsion and a Gaussian attraction, with parameters obeying Lorentz-Berthelot mixing rules. For the Coulombic interaction, coarse grain charges are optimized for each separate protein in order to best represent the all-atom electrostatic potential outside the protein core. This approach leaves the possibility of using any implicit solvent model to describe solvation effects and electrostatic screening. The coarse-grained force field is tested carefully for a small homodimeric complex, the magainin. It is shown to reproduce satisfactorily the specificity of the all-atom underlying potential, in particular within a PB/SA solvation model. The coarse-grained potential is applied to the redocking prediction of three different protein-protein complexes: the magainin dimer, the barnase-barstar, and the trypsin-BPTI complexes. It is shown to provide per se an efficient and discriminating scoring energy function for the protein-protein docking problem that remains pertinent at both the global and refinement stage.

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Year:  2007        PMID: 17616119     DOI: 10.1021/jp0727190

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  25 in total

1.  Tabulation as a high-resolution alternative to coarse-graining protein interactions: Initial application to virus capsid subunits.

Authors:  Justin Spiriti; Daniel M Zuckerman
Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

2.  PRIMO: A Transferable Coarse-grained Force Field for Proteins.

Authors:  Parimal Kar; Srinivasa Murthy Gopal; Yi-Ming Cheng; Alexander Predeus; Michael Feig
Journal:  J Chem Theory Comput       Date:  2013-08-13       Impact factor: 6.006

3.  Simulation-based fitting of protein-protein interaction potentials to SAXS experiments.

Authors:  Seung Joong Kim; Charles Dumont; Martin Gruebele
Journal:  Biophys J       Date:  2008-03-07       Impact factor: 4.033

4.  Charge density distributions derived from smoothed electrostatic potential functions: design of protein reduced point charge models.

Authors:  Laurence Leherte; Daniel P Vercauteren
Journal:  J Comput Aided Mol Des       Date:  2011-09-14       Impact factor: 3.686

Review 5.  Biomolecular electrostatics and solvation: a computational perspective.

Authors:  Pengyu Ren; Jaehun Chun; Dennis G Thomas; Michael J Schnieders; Marcelo Marucho; Jiajing Zhang; Nathan A Baker
Journal:  Q Rev Biophys       Date:  2012-11       Impact factor: 5.318

6.  Hydrogen/deuterium exchange mass spectrometry and computational modeling reveal a discontinuous epitope of an antibody/TL1A Interaction.

Authors:  Richard Y-C Huang; Stanley R Krystek; Nathan Felix; Robert F Graziano; Mohan Srinivasan; Achal Pashine; Guodong Chen
Journal:  MAbs       Date:  2017-11-14       Impact factor: 5.857

Review 7.  Adaptive resolution simulations of biomolecular systems.

Authors:  Julija Zavadlav; Staš Bevc; Matej Praprotnik
Journal:  Eur Biophys J       Date:  2017-09-13       Impact factor: 1.733

8.  Physics-Based Potentials for Coarse-Grained Modeling of Protein-DNA Interactions.

Authors:  Yanping Yin; Adam K Sieradzan; Adam Liwo; Yi He; Harold A Scheraga
Journal:  J Chem Theory Comput       Date:  2015-04-14       Impact factor: 6.006

9.  PRIMO/PRIMONA: a coarse-grained model for proteins and nucleic acids that preserves near-atomistic accuracy.

Authors:  Srinivasa M Gopal; Shayantani Mukherjee; Yi-Ming Cheng; Michael Feig
Journal:  Proteins       Date:  2010-04

10.  Multiscale coarse-graining of the protein energy landscape.

Authors:  Ronald D Hills; Lanyuan Lu; Gregory A Voth
Journal:  PLoS Comput Biol       Date:  2010-06-24       Impact factor: 4.475

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