Literature DB >> 9054980

Inter-residue potentials in globular proteins and the dominance of highly specific hydrophilic interactions at close separation.

I Bahar1, R L Jernigan.   

Abstract

Residue-specific potentials between pairs of side-chains and pairs of side-chain-backbone interaction sites have been generated by collecting radial distribution data for 302 protein structures. Multiple atomic interactions have been utilized to enhance the specificity and smooth the distance-dependence of the potentials. The potentials are demonstrated to successfully discriminate correct sequences in inverse folding experiments. Many specific effects are observable in the non-bonded potentials; grouping of residue types is inappropriate, since each residue type manifests some unique behavior. Only a weak dependence is seen on protein size and composition. Effective contact potentials operating in three different environments (self, solvent-exposed and residue-exposed) and over any distance range are presented. The effective contact potentials obtained from the integration of radial distributions over the distance interval r < or = 6.4 A are in excellent agreement with published values. The hydrophobic interactions are verified to be dominantly strong in this range. Comparison of these with a newly derived set of effective contact potentials for closer inter-residue separations (r < or = 4.0 A) demonstrates drastic changes in the most favorable interactions. In the closer approach case, where the number of pairs with a given residue is approximately one, the highly specific interactions between charged and polar side-chains predominate. These closer approach values could be utilized to select successively the relative positions and directions of residue side-chains in protein simulations, following a hierarchical algorithm optimizing side-chain-side-chain interactions over the two successively closer distance ranges. The homogeneous contribution to stability is stronger than the specific contribution by about a factor of 5. Overall, the total non-bonded interaction energy calculated for individual proteins follows a dependence on the number of residues of the form of n1.28, indicating an enhanced stability for larger proteins.

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Year:  1997        PMID: 9054980     DOI: 10.1006/jmbi.1996.0758

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  61 in total

1.  Anisotropy of fluctuation dynamics of proteins with an elastic network model.

Authors:  A R Atilgan; S R Durell; R L Jernigan; M C Demirel; O Keskin; I Bahar
Journal:  Biophys J       Date:  2001-01       Impact factor: 4.033

2.  Environment-dependent residue contact energies for proteins.

Authors:  C Zhang; S H Kim
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3.  Measures of residue density in protein structures.

Authors:  F Baud; S Karlin
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4.  Statistical potentials for fold assessment.

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Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

5.  A stochastic algorithm for global optimization and for best populations: a test case of side chains in proteins.

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Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-15       Impact factor: 11.205

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

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Journal:  Biophys J       Date:  2002-11       Impact factor: 4.033

7.  An accurate, residue-level, pair potential of mean force for folding and binding based on the distance-scaled, ideal-gas reference state.

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Journal:  Protein Sci       Date:  2004-02       Impact factor: 6.725

8.  Structure-based prediction of potential binding and nonbinding peptides to HIV-1 protease.

Authors:  Nese Kurt; Turkan Haliloglu; Celia A Schiffer
Journal:  Biophys J       Date:  2003-08       Impact factor: 4.033

9.  Design of an optimal Chebyshev-expanded discrimination function for globular proteins.

Authors:  Boris Fain; Yu Xia; Michael Levitt
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

10.  Database-derived potentials dependent on protein size for in silico folding and design.

Authors:  Yves Dehouck; Dimitri Gilis; Marianne Rooman
Journal:  Biophys J       Date:  2004-07       Impact factor: 4.033

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