Literature DB >> 2217164

Hydrophobicity of amino acid subgroups in proteins.

G J Lesser1, G D Rose.   

Abstract

Protein folding studies often utilize areas and volumes to assess the hydrophobic contribution to conformational free energy (Richards, F.M. Annu. Rev. Biophys. Bioeng. 6:151-176, 1977). We have calculated the mean area buried upon folding for every chemical group in each residue within a set of X-ray elucidated proteins. These measurements, together with a standard state cavity size for each group, are documented in a table. It is observed that, on average, each type of group buries a constant fraction of its standard state area. The mean area buried by most, though not all, groups can be closely approximated by summing contributions from three characteristic parameters corresponding to three atom types: (1) carbon or sulfur, which turn out to be 86% buried, on average; (2) neutral oxygen or nitrogen, which are 40% buried, on average; and (3) charged oxygen or nitrogen, which are 32% buried, on average.

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Year:  1990        PMID: 2217164     DOI: 10.1002/prot.340080104

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


  46 in total

1.  The effect of net charge on the solubility, activity, and stability of ribonuclease Sa.

Authors:  K L Shaw; G R Grimsley; G I Yakovlev; A A Makarov; C N Pace
Journal:  Protein Sci       Date:  2001-06       Impact factor: 6.725

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

Authors:  Susanne Moelbert; Eldon Emberly; Chao Tang
Journal:  Protein Sci       Date:  2004-02-06       Impact factor: 6.725

3.  Application of three-dimensional molecular hydrophobicity potential to the analysis of spatial organization of membrane domains in proteins: I. Hydrophobic properties of transmembrane segments of Na+, K(+)-ATPase.

Authors:  R G Efremov; D I Gulyaev; G Vergoten; N N Modyanov
Journal:  J Protein Chem       Date:  1992-12

4.  ASTRO-FOLD: a combinatorial and global optimization framework for Ab initio prediction of three-dimensional structures of proteins from the amino acid sequence.

Authors:  J L Klepeis; C A Floudas
Journal:  Biophys J       Date:  2003-10       Impact factor: 4.033

Review 5.  Protein structure, stability and solubility in water and other solvents.

Authors:  C Nick Pace; Saul Treviño; Erode Prabhakaran; J Martin Scholtz
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-08-29       Impact factor: 6.237

Review 6.  The protein-folding problem: the native fold determines packing, but does packing determine the native fold?

Authors:  M J Behe; E E Lattman; G D Rose
Journal:  Proc Natl Acad Sci U S A       Date:  1991-05-15       Impact factor: 11.205

7.  Translational-entropy gain of solvent upon protein folding.

Authors:  Yuichi Harano; Masahiro Kinoshita
Journal:  Biophys J       Date:  2005-07-29       Impact factor: 4.033

8.  BPPred: a Web-based computational tool for predicting biophysical parameters of proteins.

Authors:  Christian D Geierhaas; Adrian A Nickson; Kresten Lindorff-Larsen; Jane Clarke; Michele Vendruscolo
Journal:  Protein Sci       Date:  2006-11-22       Impact factor: 6.725

9.  Minimizing frustration by folding in an aqueous environment.

Authors:  Carla Mattos; A Clay Clark
Journal:  Arch Biochem Biophys       Date:  2007-07-14       Impact factor: 4.013

10.  Probing weakly polar interactions in cytochrome c.

Authors:  D S Auld; G B Young; A J Saunders; D F Doyle; S F Betz; G J Pielak
Journal:  Protein Sci       Date:  1993-12       Impact factor: 6.725

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