Literature DB >> 10588906

Realistic modeling of the denatured states of proteins allows accurate calculations of the pH dependence of protein stability.

A H Elcock1.   

Abstract

Computational techniques based on continuum electrostatics treatments have been successful in predicting and interpreting the pKa values of ionizable amino acids in folded proteins. Despite this progress, efforts to reproduce the pH-dependence of protein stability have met with only limited success: agreement with experimental results has been only qualitative. It has been argued previously that the most likely reason for discrepancies is the presence of residual electrostatic interactions in the unfolded state, which cause pKa values to be shifted from their model compound values. Here we show that by constructing atomistic models of the unfolded state with a simple molecular mechanics protocol that uses the native state as a starting point, much improved reproduction of pH effects on protein stability can be obtained. In contrast, when a fully extended model of the unfolded state is used, no such improvement is obtained, a result that suggests that local interactions with residues nearby in the sequence are not sufficient to properly account for the pKa shifts in the unfolded state. In comparison to model compound values, the pKa values of acidic residues in "native-like" unfolded states are typically found to be shifted downwards by approximately 0.3 pH unit, in good agreement with the average downward shift deduced from experimental measurements. Given its success in the present situation, the protocol employed here for developing simple models of the unfolded state may prove useful in other computer simulation applications. Copyright 1999 Academic Press.

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Year:  1999        PMID: 10588906     DOI: 10.1006/jmbi.1999.3305

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  29 in total

1.  Charge-charge interactions influence the denatured state ensemble and contribute to protein stability.

Authors:  C N Pace; R W Alston; K L Shaw
Journal:  Protein Sci       Date:  2000-07       Impact factor: 6.725

2.  A Gaussian-chain model for treating residual charge-charge interactions in the unfolded state of proteins.

Authors:  Huan-Xiang Zhou
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-12       Impact factor: 11.205

3.  Site-specific contributions to the pH dependence of protein stability.

Authors:  Martin Tollinger; Karin A Crowhurst; Lewis E Kay; Julie D Forman-Kay
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-01       Impact factor: 11.205

4.  Identifying residue-residue clashes in protein hybrids by using a second-order mean-field approach.

Authors:  Gregory L Moore; Costas D Maranas
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-16       Impact factor: 11.205

5.  Effects of pH on proteins: predictions for ensemble and single-molecule pulling experiments.

Authors:  Edward P O'Brien; Bernard R Brooks; D Thirumalai
Journal:  J Am Chem Soc       Date:  2011-12-27       Impact factor: 15.419

6.  Modeling of denatured state for calculation of the electrostatic contribution to protein stability.

Authors:  Petras J Kundrotas; Andrey Karshikoff
Journal:  Protein Sci       Date:  2002-07       Impact factor: 6.725

7.  Residual charge interactions in unfolded staphylococcal nuclease can be explained by the Gaussian-chain model.

Authors:  Huan-Xiang Zhou
Journal:  Biophys J       Date:  2002-12       Impact factor: 4.033

8.  Electrostatic contributions to T4 lysozyme stability: solvent-exposed charges versus semi-buried salt bridges.

Authors:  Feng Dong; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2002-09       Impact factor: 4.033

9.  Conferring thermostability to mesophilic proteins through optimized electrostatic surfaces.

Authors:  Michael Torrez; Michael Schultehenrich; Dennis R Livesay
Journal:  Biophys J       Date:  2003-11       Impact factor: 4.033

10.  Computational protein design is a challenge for implicit solvation models.

Authors:  Alfonso Jaramillo; Shoshana J Wodak
Journal:  Biophys J       Date:  2004-09-17       Impact factor: 4.033

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