Literature DB >> 8819974

Extracting hydrophobicity parameters from solute partition and protein mutation/unfolding experiments.

S Vajda1, Z Weng, C DeLisi.   

Abstract

Hydrophobicity values for amino acids obtained from protein unfolding experiments are about twice as large as those obtained from data on the partitioning of amino acids between water and octanol. Quantitative analyses of several data sets, presented here, indicate that the difference is best explained by the most direct hypothesis, i.e. that the environment of hydrophobic groups in the interior of a protein is poorly modeled by octanol. Instead, we propose--and provide supporting evidence--that hydrocarbons are a more suitable model. First, we reanalyze data from both solute partitioning and protein unfolding experiments, taking account of the effects that were omitted previously, by introducing a volume dependence in the former and a full free energy analysis in the latter. Both changes in evaluation methodology decrease the discrepancy, but the differences remain substantial. The hydrophobicity parameter obtained from side-chain transfers between octanol and water increases from 16.7 to 22 cal/mol/Angstrom2, while that obtained from protein unfolding decreases from 34.9 to 31.2 cal/mol/Angstrom2. On the other hand, our analysis of the solubilities of pure hydrocarbons in water provides a hydrophobicity parameter of 30.8 cal/mol/Angstrom2. This apparent hydrocarbon-like environment of a protein's interior is also suggested more directly by an analysis of the contact environment of hydrophobic side chains in mutation/unfolding experiments, which have polar contact areas that are <2% of the total.

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Year:  1995        PMID: 8819974     DOI: 10.1093/protein/8.11.1081

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  10 in total

1.  Selecting near-native conformations in homology modeling: the role of molecular mechanics and solvation terms.

Authors:  A Janardhan; S Vajda
Journal:  Protein Sci       Date:  1998-08       Impact factor: 6.725

2.  Interatomic potentials and solvation parameters from protein engineering data for buried residues.

Authors:  Andrei L Lomize; Mikhail Y Reibarkh; Irina D Pogozheva
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

3.  Hydrophobicity regained.

Authors:  P A Karplus
Journal:  Protein Sci       Date:  1997-06       Impact factor: 6.725

4.  Empirical free energy calculation: comparison to calorimetric data.

Authors:  Z Weng; C Delisi; S Vajda
Journal:  Protein Sci       Date:  1997-09       Impact factor: 6.725

5.  Interplay between hydrophobicity and the positive-inside rule in determining membrane-protein topology.

Authors:  Assaf Elazar; Jonathan Jacob Weinstein; Jaime Prilusky; Sarel Jacob Fleishman
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-25       Impact factor: 11.205

6.  A double-deletion method to quantifying incremental binding energies in proteins from experiment: example of a destabilizing hydrogen bonding pair.

Authors:  Luis A Campos; Santiago Cuesta-López; Jon López-Llano; Fernando Falo; Javier Sancho
Journal:  Biophys J       Date:  2004-11-19       Impact factor: 4.033

7.  Binding efficiency of protein-protein complexes.

Authors:  Eric S Day; Shaun M Cote; Adrian Whitty
Journal:  Biochemistry       Date:  2012-11-01       Impact factor: 3.162

8.  A lipophilicity-based energy function for membrane-protein modelling and design.

Authors:  Jonathan Yaacov Weinstein; Assaf Elazar; Sarel Jacob Fleishman
Journal:  PLoS Comput Biol       Date:  2019-08-28       Impact factor: 4.475

9.  FastContact: a free energy scoring tool for protein-protein complex structures.

Authors:  P Christoph Champ; Carlos J Camacho
Journal:  Nucleic Acids Res       Date:  2007-05-30       Impact factor: 16.971

10.  Mutational scanning reveals the determinants of protein insertion and association energetics in the plasma membrane.

Authors:  Assaf Elazar; Jonathan Weinstein; Ido Biran; Yearit Fridman; Eitan Bibi; Sarel Jacob Fleishman
Journal:  Elife       Date:  2016-01-29       Impact factor: 8.140

  10 in total

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