Literature DB >> 2664761

Can a simple function for the dielectric response model electrostatic effects in globular proteins?

A R Fersht1, M J Sternberg.   

Abstract

The relationship between the effective dielectric constant that models the electrostatic effect from a charged side chain in a protein was evaluated both experimentally and theoretically. Experimental values were obtained from the shifts in pKa that resulted from point mutations of side chains in subtilisin. Theoretical values were obtained from an iterative solution to Poisson's equation that considers the dielectric response of the protein and the solvent together with charge positions. There is no simple relationship between the effective dielectric constant and the distance from the charge responsible for the interactions. For some charge positions a linear but not a direct proportional relationship of the effective dielectric with distance of separation was observed. Thus, simple models such as a linear distance-dependence for the dielectric response are not suitable to evaluate electrostatic effects in proteins.

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Year:  1989        PMID: 2664761     DOI: 10.1093/protein/2.7.527

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  5 in total

1.  Energy functions for protein design I: efficient and accurate continuum electrostatics and solvation.

Authors:  Navin Pokala; Tracy M Handel
Journal:  Protein Sci       Date:  2004-03-09       Impact factor: 6.725

2.  Quantitative, directional measurement of electric field heterogeneity in the active site of ketosteroid isomerase.

Authors:  Aaron T Fafarman; Paul A Sigala; Jason P Schwans; Timothy D Fenn; Daniel Herschlag; Steven G Boxer
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-17       Impact factor: 11.205

Review 3.  Metal ions: supporting actors in the playbook of small ribozymes.

Authors:  Alexander E Johnson-Buck; Sarah E McDowell; Nils G Walter
Journal:  Met Ions Life Sci       Date:  2011

4.  De novo prediction of polypeptide conformations using dihedral probability grid Monte Carlo methodology.

Authors:  J S Evans; A M Mathiowetz; S I Chan; W A Goddard
Journal:  Protein Sci       Date:  1995-06       Impact factor: 6.725

Review 5.  A review of protein engineering for the food industry.

Authors:  P W Goodenough
Journal:  Mol Biotechnol       Date:  1995-10       Impact factor: 2.695

  5 in total

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