Literature DB >> 14767075

Correlation between sequence hydrophobicity and surface-exposure pattern of database proteins.

Susanne Moelbert1, Eldon Emberly, Chao Tang.   

Abstract

Hydrophobicity is thought to be one of the primary forces driving the folding of proteins. On average, hydrophobic residues occur preferentially in the core, whereas polar residues tend to occur at the surface of a folded protein. By analyzing the known protein structures, we quantify the degree to which the hydrophobicity sequence of a protein correlates with its pattern of surface exposure. We have assessed the statistical significance of this correlation for several hydrophobicity scales in the literature, and find that the computed correlations are significant but far from optimal. We show that this less than optimal correlation arises primarily from the large degree of mutations that naturally occurring proteins can tolerate. Lesser effects are due in part to forces other than hydrophobicity, and we quantify this by analyzing the surface-exposure distributions of all amino acids. Lastly, we show that our database findings are consistent with those found from an off-lattice hydrophobic-polar model of protein folding.

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Year:  2004        PMID: 14767075      PMCID: PMC2286732          DOI: 10.1110/ps.03431704

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


  36 in total

1.  On hydrophobicity correlations in protein chains.

Authors:  A Irbäck; E Sandelin
Journal:  Biophys J       Date:  2000-11       Impact factor: 4.033

2.  Multiple-sequence information provides protection against mis-specified potential energy functions in the lattice model of proteins

Authors: 
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3.  Hydrophobicity of amino acid subgroups in proteins.

Authors:  G J Lesser; G D Rose
Journal:  Proteins       Date:  1990

4.  Proteins from scratch.

Authors:  W F DeGrado
Journal:  Science       Date:  1997-10-03       Impact factor: 47.728

5.  Are protein folds atypical?

Authors:  H Li; C Tang; N S Wingreen
Journal:  Proc Natl Acad Sci U S A       Date:  1998-04-28       Impact factor: 11.205

6.  Structural patterns in globular proteins.

Authors:  M Levitt; C Chothia
Journal:  Nature       Date:  1976-06-17       Impact factor: 49.962

7.  Estimation of the maximum change in stability of globular proteins upon mutation of a hydrophobic residue to another of smaller size.

Authors:  B Lee
Journal:  Protein Sci       Date:  1993-05       Impact factor: 6.725

8.  Spatial and free energy distribution patterns of amino acid residues in water soluble proteins.

Authors:  V V Nauchitel; R L Somorjai
Journal:  Biophys Chem       Date:  1994-08       Impact factor: 2.352

9.  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

10.  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

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  23 in total

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3.  Temperature dependence of amino acid hydrophobicities.

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-01       Impact factor: 11.205

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Review 5.  Coding of Class I and II Aminoacyl-tRNA Synthetases.

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7.  Amino-acid site variability among natural and designed proteins.

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Journal:  PeerJ       Date:  2013-11-12       Impact factor: 2.984

8.  Trimethylamine N-oxide stabilizes proteins via a distinct mechanism compared with betaine and glycine.

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9.  Fatal amyloid formation in a patient's antibody light chain is caused by a single point mutation.

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10.  Sequence signatures of direct complementarity between mRNAs and cognate proteins on multiple levels.

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Journal:  Nucleic Acids Res       Date:  2012-07-25       Impact factor: 16.971

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