Literature DB >> 12471597

Long- and short-range interactions in native protein structures are consistent/minimally frustrated in sequence space.

Sanzo Miyazawa1, Robert L Jernigan.   

Abstract

We show that long- and short-range interactions in almost all protein native structures are actually consistent with each other for coarse-grained energy scales; specifically we mean the long-range inter-residue contact energies and the short-range secondary structure energies based on peptide dihedral angles, which are potentials of mean force evaluated from residue distributions observed in protein native structures. This consistency is observed at equilibrium in sequence space rather than in conformational space. Statistical ensembles of sequences are generated by exchanging residues for each of 797 protein native structures with the Metropolis method. It is shown that adding the other category of interaction to either the short- or long-range interactions decreases the means and variances of those energies for essentially all protein native structures, indicating that both interactions consistently work by more-or-less restricting sequence spaces available to one of the interactions. In addition to this consistency, independence by these interaction classes is also indicated by the fact that there are almost no correlations between them when equilibrated using both interactions and significant but small, positive correlations at equilibrium using only one of the interactions. Evidence is provided that protein native sequences can be regarded approximately as samples from the statistical ensembles of sequences with these energy scales and that all proteins have the same effective conformational temperature. Designing protein structures and sequences to be consistent and minimally frustrated among the various interactions is a most effective way to increase protein stability and foldability. Copyright 2002 Wiley-Liss, Inc.

Mesh:

Substances:

Year:  2003        PMID: 12471597     DOI: 10.1002/prot.10242

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


  5 in total

1.  Servers for sequence-structure relationship analysis and prediction.

Authors:  Zsuzsanna Dosztányi; Csaba Magyar; Gábor E Tusnády; Miklós Cserzo; András Fiser; István Simon
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

2.  Direct-coupling analysis of residue coevolution captures native contacts across many protein families.

Authors:  Faruck Morcos; Andrea Pagnani; Bryan Lunt; Arianna Bertolino; Debora S Marks; Chris Sander; Riccardo Zecchina; José N Onuchic; Terence Hwa; Martin Weigt
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-21       Impact factor: 11.205

3.  PRIMO: A Transferable Coarse-grained Force Field for Proteins.

Authors:  Parimal Kar; Srinivasa Murthy Gopal; Yi-Ming Cheng; Alexander Predeus; Michael Feig
Journal:  J Chem Theory Comput       Date:  2013-08-13       Impact factor: 6.006

4.  Theoretical model of prion propagation: a misfolded protein induces misfolding.

Authors:  Edyta Małolepsza; Michal Boniecki; Andrzej Kolinski; Lucjan Piela
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-23       Impact factor: 11.205

5.  TAP score: torsion angle propensity normalization applied to local protein structure evaluation.

Authors:  Silvio C E Tosatto; Roberto Battistutta
Journal:  BMC Bioinformatics       Date:  2007-05-15       Impact factor: 3.169

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.