Literature DB >> 24408023

Quantitative theory of hydrophobic effect as a driving force of protein structure.

Nikolay Perunov1, Jeremy L England.   

Abstract

Various studies suggest that the hydrophobic effect plays a major role in driving the folding of proteins. In the past, however, it has been challenging to translate this understanding into a predictive, quantitative theory of how the full pattern of sequence hydrophobicity in a protein shapes functionally important features of its tertiary structure. Here, we extend and apply such a phenomenological theory of the sequence-structure relationship in globular protein domains, which had previously been applied to the study of allosteric motion. In an effort to optimize parameters for the model, we first analyze the patterns of backbone burial found in single-domain crystal structures, and discover that classic hydrophobicity scales derived from bulk physicochemical properties of amino acids are already nearly optimal for prediction of burial using the model. Subsequently, we apply the model to studying structural fluctuations in proteins and establish a means of identifying ligand-binding and protein-protein interaction sites using this approach.
© 2014 The Protein Society.

Keywords:  conformational fluctuations; hydrophobicity scale; ligand-binding sites; mutations; protein structure

Mesh:

Substances:

Year:  2014        PMID: 24408023      PMCID: PMC3970890          DOI: 10.1002/pro.2420

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  31 in total

1.  Coarse-grained model of entropic allostery.

Authors:  Rhoda J Hawkins; Tom C B McLeish
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Review 2.  Macromolecular modeling with rosetta.

Authors:  Rhiju Das; David Baker
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3.  A minimal sequence code for switching protein structure and function.

Authors:  Patrick A Alexander; Yanan He; Yihong Chen; John Orban; Philip N Bryan
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-18       Impact factor: 11.205

4.  Allostery in protein domains reflects a balance of steric and hydrophobic effects.

Authors:  Jeremy L England
Journal:  Structure       Date:  2011-07-13       Impact factor: 5.006

5.  Information-theoretic analysis and prediction of protein atomic burials: on the search for an informational intermediate between sequence and structure.

Authors:  Juliana R Rocha; Marx G van der Linden; Diogo C Ferreira; Paulo H Azevêdo; Antônio F Pereira de Araújo
Journal:  Bioinformatics       Date:  2012-08-24       Impact factor: 6.937

6.  Structure of myoglobin refined at 2-0 A resolution. I. Crystallographic refinement of metmyoglobin from sperm whale.

Authors:  T Takano
Journal:  J Mol Biol       Date:  1977-03-05       Impact factor: 5.469

7.  Hydrophobicity of amino acid residues in globular proteins.

Authors:  G D Rose; A R Geselowitz; G J Lesser; R H Lee; M H Zehfus
Journal:  Science       Date:  1985-08-30       Impact factor: 47.728

8.  A simple method for displaying the hydropathic character of a protein.

Authors:  J Kyte; R F Doolittle
Journal:  J Mol Biol       Date:  1982-05-05       Impact factor: 5.469

9.  Long-range energy transfer in proteins.

Authors:  Francesco Piazza; Yves-Henri Sanejouand
Journal:  Phys Biol       Date:  2009-11-12       Impact factor: 2.583

10.  Solvation energies of amino acid side chains and backbone in a family of host-guest pentapeptides.

Authors:  W C Wimley; T P Creamer; S H White
Journal:  Biochemistry       Date:  1996-04-23       Impact factor: 3.162

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  5 in total

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Authors:  Robert L Baldwin; George D Rose
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-17       Impact factor: 11.205

3.  Modelling drug adsorption in metal-organic frameworks: the role of solvent.

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4.  50 years of amino acid hydrophobicity scales: revisiting the capacity for peptide classification.

Authors:  Stefan Simm; Jens Einloft; Oliver Mirus; Enrico Schleiff
Journal:  Biol Res       Date:  2016-07-04       Impact factor: 5.612

5.  Solvation Free Energy as a Measure of Hydrophobicity: Application to Serine Protease Binding Interfaces.

Authors:  Johannes Kraml; Anna S Kamenik; Franz Waibl; Michael Schauperl; Klaus R Liedl
Journal:  J Chem Theory Comput       Date:  2019-10-24       Impact factor: 6.006

  5 in total

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