Literature DB >> 17027458

Mean-field analysis of protein-protein interactions.

M A Olson1.   

Abstract

Calculations were performed on the D1.3-E5.2 antibody-antibody complex estimating the binding affinities of the wild-type and 16 alanine substitutions. Analyzed were structural models of the interfacial region containing a zinc ion and crystallographic waters. A continuum approach was used to evaluate the electrostatic free energies and the hydrophobic effect was calculated by employing a buried molecular surface area relationship. Estimates of the absolute binding affinity reproduced the experimental value within the uncertainty of assessing entropic and strain energy contributions. The best correlation for mutants with experimental data was achieved when the hydrophilicity of created cavities were considered, and yielded a correlation coefficient of 0.7 and an average error of +/-1.4 kcal/mol. Empirically fitting the free energy function produced a smaller error of +/-1.0 kcal/mol. Depending on the electrical potential and electrostatic reorganization, scaling the 'protein dielectric constant' to approximately 10 may improve the accuracy of continuum models for evaluating amino acid substitutions.

Entities:  

Year:  1998        PMID: 17027458     DOI: 10.1016/s0301-4622(98)00201-4

Source DB:  PubMed          Journal:  Biophys Chem        ISSN: 0301-4622            Impact factor:   2.352


  4 in total

1.  Streptavidin tetramerization and 2D crystallization: a mean-field approach.

Authors:  T Coussaert; A R Völkel; J Noolandi; A P Gast
Journal:  Biophys J       Date:  2001-04       Impact factor: 4.033

2.  Free energy decomposition of protein-protein interactions.

Authors:  S Y Noskov; C Lim
Journal:  Biophys J       Date:  2001-08       Impact factor: 4.033

3.  Calculations of free-energy contributions to protein-RNA complex stabilization.

Authors:  M A Olson
Journal:  Biophys J       Date:  2001-10       Impact factor: 4.033

4.  Modeling the structure of agitoxin in complex with the Shaker K+ channel: a computational approach based on experimental distance restraints extracted from thermodynamic mutant cycles.

Authors:  Mats A L Eriksson; Benoît Roux
Journal:  Biophys J       Date:  2002-11       Impact factor: 4.033

  4 in total

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