Literature DB >> 9342146

Improving pKa calculations with consideration of hydration entropy.

J Warwicker1.   

Abstract

Continuum dielectric modelling of electrostatics interactions in macromolecules provides a valuable tool in the study of structure-function relationships, but falls short of providing consistently accurate calculated pKas. It is suggested that the model can be significantly improved with the inclusion of a term that estimates the entropy associated with first hydration shell solvent ordering, with reference to computed results for cysteines in DsbA and thioredoxin, and aspartic and glutamic acids in a number of proteins. The modification is based on the geometry of charge burial and an hydration number, which is adjustable (by fit to experiment), and is uniform within each class of ionizable group studied. The potential for further development is clear within this framework, since experiment and simulation can furnish non-adjustable, ionizable group-specific, hydration numbers.

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Year:  1997        PMID: 9342146     DOI: 10.1093/protein/10.7.809

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


  5 in total

1.  Prediction of pKa and redox properties in the thioredoxin superfamily.

Authors:  Efrosini Moutevelis; Jim Warwicker
Journal:  Protein Sci       Date:  2004-08-31       Impact factor: 6.725

2.  Simplified methods for pKa and acid pH-dependent stability estimation in proteins: removing dielectric and counterion boundaries.

Authors:  J Warwicker
Journal:  Protein Sci       Date:  1999-02       Impact factor: 6.725

3.  Improved pKa calculations through flexibility based sampling of a water-dominated interaction scheme.

Authors:  Jim Warwicker
Journal:  Protein Sci       Date:  2004-10       Impact factor: 6.725

4.  The pH-induced release of iron from transferrin investigated with a continuum electrostatic model.

Authors:  D A Lee; J M Goodfellow
Journal:  Biophys J       Date:  1998-06       Impact factor: 4.033

5.  Volume-based solvation models out-perform area-based models in combined studies of wild-type and mutated protein-protein interfaces.

Authors:  Salim Bougouffa; Jim Warwicker
Journal:  BMC Bioinformatics       Date:  2008-10-21       Impact factor: 3.169

  5 in total

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