Literature DB >> 9454598

Correlation between native-state hydrogen exchange and cooperative residue fluctuations from a simple model.

I Bahar1, A Wallqvist, D G Covell, R L Jernigan.   

Abstract

Recently, we developed a simple analytical model based on local residue packing densities and the distribution of tertiary contacts for describing the conformational fluctuations of proteins in their folded state. This so-called Gaussian network model (GNM) is applied here to the interpretation of experimental hydrogen exchange (HX) behavior of proteins in their native state or under weakly denaturing conditions. Calculations are performed for five proteins: bovine pancreatic trypsin inhibitor, cytochrome c, plastocyanin, staphylococcal nuclease, and ribonuclease H. The results are significant in two respects. First, a good agreement is reached between calculated fluctuations and experimental measurements of HX despite the simplicity of the model and within computational times 2 or 3 orders of magnitude faster than earlier, more complex simulations. Second, the success of a theory, based on the coupled conformational fluctuations of residues near the native state, to satisfactorily describe the native-state HX behavior indicates the significant contribution of local, but cooperative, fluctuations to protein conformational dynamics. The correlation between the HX data and the unfolding kinetics of individual residues further suggests that local conformational susceptibilities as revealed by the GNM approach may have implications relevant to the global dynamics of proteins.

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Year:  1998        PMID: 9454598     DOI: 10.1021/bi9720641

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  62 in total

1.  Anisotropy of fluctuation dynamics of proteins with an elastic network model.

Authors:  A R Atilgan; S R Durell; R L Jernigan; M C Demirel; O Keskin; I Bahar
Journal:  Biophys J       Date:  2001-01       Impact factor: 4.033

2.  Small-world communication of residues and significance for protein dynamics.

Authors:  Ali Rana Atilgan; Pelin Akan; Canan Baysal
Journal:  Biophys J       Date:  2004-01       Impact factor: 4.033

3.  Escherichia coli adenylate kinase dynamics: comparison of elastic network model modes with mode-coupling (15)N-NMR relaxation data.

Authors:  N Alpay Temiz; Eva Meirovitch; Ivet Bahar
Journal:  Proteins       Date:  2004-11-15

4.  Protein sequence entropy is closely related to packing density and hydrophobicity.

Authors:  H Liao; W Yeh; D Chiang; R L Jernigan; B Lustig
Journal:  Protein Eng Des Sel       Date:  2005-03-23       Impact factor: 1.650

5.  Conserved quantitative stability/flexibility relationships (QSFR) in an orthologous RNase H pair.

Authors:  Dennis R Livesay; Donald J Jacobs
Journal:  Proteins       Date:  2006-01-01

6.  Dynamics of the trimeric AcrB transporter protein inferred from a B-factor analysis of the crystal structure.

Authors:  W C Lu; C Z Wang; E W Yu; K M Ho
Journal:  Proteins       Date:  2006-01-01

7.  iGNM: a database of protein functional motions based on Gaussian Network Model.

Authors:  Lee-Wei Yang; Xiong Liu; Christopher J Jursa; Mark Holliman; A J Rader; Hassan A Karimi; Ivet Bahar
Journal:  Bioinformatics       Date:  2005-04-28       Impact factor: 6.937

Review 8.  Coarse-grained normal mode analysis in structural biology.

Authors:  Ivet Bahar; A J Rader
Journal:  Curr Opin Struct Biol       Date:  2005-10       Impact factor: 6.809

9.  Packing regularities in biological structures relate to their dynamics.

Authors:  Robert L Jernigan; Andrzej Kloczkowski
Journal:  Methods Mol Biol       Date:  2007

10.  Predicting the order in which contacts are broken during single molecule protein stretching experiments.

Authors:  Joanna I Sułkowska; Andrzej Kloczkowski; Taner Z Sen; Marek Cieplak; Robert L Jernigan
Journal:  Proteins       Date:  2008-04
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