Literature DB >> 11152128

Free energy determinants of tertiary structure and the evaluation of protein models.

D Petrey1, B Honig.   

Abstract

We develop a protocol for estimating the free energy difference between different conformations of the same polypeptide chain. The conformational free energy evaluation combines the CHARMM force field with a continuum treatment of the solvent. In almost all cases studied, experimentally determined structures are predicted to be more stable than misfolded "decoys." This is due in part to the fact that the Coulomb energy of the native protein is consistently lower than that of the decoys. The solvation free energy generally favors the decoys, although the total electrostatic free energy (sum of Coulomb and solvation terms) favors the native structure. The behavior of the solvation free energy is somewhat counterintuitive and, surprisingly, is not correlated with differences in the burial of polar area between native structures and decoys. Rather. the effect is due to a more favorable charge distribution in the native protein, which, as is discussed, will tend to decrease its interaction with the solvent. Our results thus suggest, in keeping with a number of recent studies, that electrostatic interactions may play an important role in determining the native topology of a folded protein. On this basis, a simplified scoring function is derived that combines a Coulomb term with a hydrophobic contact term. This function performs as well as the more complete free energy evaluation in distinguishing the native structure from misfolded decoys. Its computational efficiency suggests that it can be used in protein structure prediction applications, and that it provides a physically well-defined alternative to statistically derived scoring functions.

Mesh:

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Year:  2000        PMID: 11152128      PMCID: PMC2144503          DOI: 10.1110/ps.9.11.2181

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


  20 in total

1.  Evaluation of protein models by atomic solvation preference.

Authors:  L Holm; C Sander
Journal:  J Mol Biol       Date:  1992-05-05       Impact factor: 5.469

2.  A critical assessment of comparative molecular modeling of tertiary structures of proteins.

Authors:  S Mosimann; R Meleshko; M N James
Journal:  Proteins       Date:  1995-11

3.  Free energy determinants of secondary structure formation: II. Antiparallel beta-sheets.

Authors:  A S Yang; B Honig
Journal:  J Mol Biol       Date:  1995-09-22       Impact factor: 5.469

4.  Recognizing native folds by the arrangement of hydrophobic and polar residues.

Authors:  E S Huang; S Subbiah; M Levitt
Journal:  J Mol Biol       Date:  1995-10-06       Impact factor: 5.469

5.  Comparative protein modelling by satisfaction of spatial restraints.

Authors:  A Sali; T L Blundell
Journal:  J Mol Biol       Date:  1993-12-05       Impact factor: 5.469

6.  Empirical scale of side-chain conformational entropy in protein folding.

Authors:  S D Pickett; M J Sternberg
Journal:  J Mol Biol       Date:  1993-06-05       Impact factor: 5.469

7.  Optimization of the electrostatic interactions in proteins of different functional and folding type.

Authors:  V Z Spassov; A D Karshikoff; R Ladenstein
Journal:  Protein Sci       Date:  1994-09       Impact factor: 6.725

8.  An analysis of incorrectly folded protein models. Implications for structure predictions.

Authors:  J Novotný; R Bruccoleri; M Karplus
Journal:  J Mol Biol       Date:  1984-08-25       Impact factor: 5.469

9.  Nature of the charge distribution in proteins.

Authors:  A Wada; H Nakamura
Journal:  Nature       Date:  1981-10-29       Impact factor: 49.962

10.  Free energy determinants of secondary structure formation: I. alpha-Helices.

Authors:  A S Yang; B Honig
Journal:  J Mol Biol       Date:  1995-09-22       Impact factor: 5.469

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  34 in total

1.  Statistical potentials for fold assessment.

Authors:  Francisco Melo; Roberto Sánchez; Andrej Sali
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

2.  Free energies of protein decoys provide insight into determinants of protein stability.

Authors:  Yury N Vorobjev; Jan Hermans
Journal:  Protein Sci       Date:  2002-04       Impact factor: 6.725

3.  Electrostatic contributions to protein-protein interactions: fast energetic filters for docking and their physical basis.

Authors:  R Norel; F Sheinerman; D Petrey; B Honig
Journal:  Protein Sci       Date:  2001-11       Impact factor: 6.725

4.  Can correct protein models be identified?

Authors:  Björn Wallner; Arne Elofsson
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

5.  Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction.

Authors:  Hongyi Zhou; Yaoqi Zhou
Journal:  Protein Sci       Date:  2002-11       Impact factor: 6.725

6.  Extent of hydrogen-bond protection in folded proteins: a constraint on packing architectures.

Authors:  Ariel Fernández; R Stephen Berry
Journal:  Biophys J       Date:  2002-11       Impact factor: 4.033

7.  CDH3-Related Syndromes: Report on a New Mutation and Overview of the Genotype-Phenotype Correlations.

Authors:  L Basel-Vanagaite; M Pasmanik-Chor; R Lurie; A Yeheskel; K W Kjaer
Journal:  Mol Syndromol       Date:  2011-04-07

8.  In search for more accurate alignments in the twilight zone.

Authors:  Lukasz Jaroszewski; Weizhong Li; Adam Godzik
Journal:  Protein Sci       Date:  2002-07       Impact factor: 6.725

Review 9.  Structural genomics: computational methods for structure analysis.

Authors:  Sharon Goldsmith-Fischman; Barry Honig
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

10.  A new hydrogen-bonding potential for the design of protein-RNA interactions predicts specific contacts and discriminates decoys.

Authors:  Yu Chen; Tanja Kortemme; Tim Robertson; David Baker; Gabriele Varani
Journal:  Nucleic Acids Res       Date:  2004-09-30       Impact factor: 16.971

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