Literature DB >> 14696193

Quantifying the effect of burial of amino acid residues on protein stability.

Hongyi Zhou1, Yaoqi Zhou.   

Abstract

The average contribution of individual residue to folding stability and its dependence on buried accessible surface area (ASA) are obtained by two different approaches. One is based on experimental mutation data, and the other uses a new knowledge-based atom-atom potential of mean force. We show that the contribution of a residue has a significant correlation with buried ASA and the regression slopes of 20 amino acid residues (called the buriability) are all positive (pro-burial). The buriability parameter provides a quantitative measure of the driving force for the burial of a residue. The large buriability gap observed between hydrophobic and hydrophilic residues is responsible for the burial of hydrophobic residues in soluble proteins. Possible factors that contribute to the buriability gap are discussed. Copyright 2003 Wiley-Liss, Inc.

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Year:  2004        PMID: 14696193     DOI: 10.1002/prot.10584

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  43 in total

1.  An accurate, residue-level, pair potential of mean force for folding and binding based on the distance-scaled, ideal-gas reference state.

Authors:  Chi Zhang; Song Liu; Hongyi Zhou; Yaoqi Zhou
Journal:  Protein Sci       Date:  2004-02       Impact factor: 6.725

2.  Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential.

Authors:  Chi Zhang; Song Liu; Yaoqi Zhou
Journal:  Protein Sci       Date:  2004-02       Impact factor: 6.725

3.  The dependence of all-atom statistical potentials on structural training database.

Authors:  Chi Zhang; Song Liu; Hongyi Zhou; Yaoqi Zhou
Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

4.  Ultrafast hydration dynamics in protein unfolding: human serum albumin.

Authors:  J K Amisha Kamal; Liang Zhao; Ahmed H Zewail
Journal:  Proc Natl Acad Sci U S A       Date:  2004-09-07       Impact factor: 11.205

Review 5.  Bioinformatics for personal genome interpretation.

Authors:  Emidio Capriotti; Nathan L Nehrt; Maricel G Kann; Yana Bromberg
Journal:  Brief Bioinform       Date:  2012-01-13       Impact factor: 11.622

6.  GOAP: a generalized orientation-dependent, all-atom statistical potential for protein structure prediction.

Authors:  Hongyi Zhou; Jeffrey Skolnick
Journal:  Biophys J       Date:  2011-10-19       Impact factor: 4.033

7.  MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins.

Authors:  Fatemeh Miri Disfani; Wei-Lun Hsu; Marcin J Mizianty; Christopher J Oldfield; Bin Xue; A Keith Dunker; Vladimir N Uversky; Lukasz Kurgan
Journal:  Bioinformatics       Date:  2012-06-15       Impact factor: 6.937

8.  Stability and kinetic properties of C5-domain from myosin binding protein C and its mutants.

Authors:  Carlo Guardiani; Fabio Cecconi; Roberto Livi
Journal:  Biophys J       Date:  2007-10-26       Impact factor: 4.033

9.  Fusogenic variants of a noncytopathic paramyxovirus.

Authors:  Shaguna Seth; Ioanna Skountzou; Kim M Gernert; Richard W Compans
Journal:  J Virol       Date:  2007-02-07       Impact factor: 5.103

10.  Using Cooperatively Folded Peptides To Measure Interaction Energies and Conformational Propensities.

Authors:  Maziar S Ardejani; Evan T Powers; Jeffery W Kelly
Journal:  Acc Chem Res       Date:  2017-07-19       Impact factor: 22.384

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