Literature DB >> 14579354

Atomic contact vectors in protein-protein recognition.

Julian Mintseris1, Zhiping Weng.   

Abstract

The ability to analyze and compare protein-protein interactions on the structural level is critical to our understanding of various aspects of molecular recognition and the functional interplay of components of biochemical networks. In this study, we introduce atomic contact vectors (ACVs) as an intuitive way to represent the physico-chemical characteristics of a protein-protein interface as well as a way to compare interfaces to each other. We test the utility of ACVs in classification by using them to distinguish between homodimers and crystal contacts. Our results compare favorably with those reported by other authors. We then apply ACVs to mine the PDB for all known protein-protein complexes and separate transient recognition complexes from permanent oligomeric ones. Getting at the basis of this difference is important for our understanding of recognition and we achieved a success rate of 91% for distinguishing these two classes of complexes. Although accessible surface area of the interface is a major discriminating feature, we also show that there are distinct differences in the contact preferences between the two kinds of complexes. Illustrating the superiority of ACVs as a basic comparison measure over a sequence-based approach, we derive a general rule of thumb to determine whether two protein-protein interfaces are redundant. With this method, we arrive at a nonredundant set of 209 recognition complexes--the largest set reported so far. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 14579354     DOI: 10.1002/prot.10432

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


  38 in total

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

Authors:  Chi Zhang; Song Liu; Hongyi Zhou; Yaoqi Zhou
Journal:  Protein Sci       Date:  2004-02       Impact factor: 6.725

2.  Weak conservation of structural features in the interfaces of homologous transient protein-protein complexes.

Authors:  Govindarajan Sudha; Prashant Singh; Lakshmipuram S Swapna; Narayanaswamy Srinivasan
Journal:  Protein Sci       Date:  2015-09-08       Impact factor: 6.725

3.  Structure, function, and evolution of transient and obligate protein-protein interactions.

Authors:  Julian Mintseris; Zhiping Weng
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-25       Impact factor: 11.205

4.  Structural similarity enhances interaction propensity of proteins.

Authors:  D B Lukatsky; B E Shakhnovich; J Mintseris; E I Shakhnovich
Journal:  J Mol Biol       Date:  2006-11-10       Impact factor: 5.469

5.  Revisiting the Voronoi description of protein-protein interfaces.

Authors:  Frédéric Cazals; Flavien Proust; Ranjit P Bahadur; Joël Janin
Journal:  Protein Sci       Date:  2006-09       Impact factor: 6.725

6.  Peptide segments in protein-protein interfaces.

Authors:  Arumay Pal; Pinak Chakrabarti; Ranjit Bahadur; Francis Rodier; Joel Janin
Journal:  J Biosci       Date:  2007-01       Impact factor: 1.826

7.  Analysis of oligomeric proteins during unfolding by pH and temperature.

Authors:  Pradip Bhattacharya; Tamil Ganeshan; Soumiyadeep Nandi; Alok Srivastava; Prashant Singh; Mohommad Rehan; Reshmi Rashkush; Naidu Subbarao; Andrew Lynn
Journal:  J Mol Model       Date:  2009-02-11       Impact factor: 1.810

8.  Coevolution at protein complex interfaces can be detected by the complementarity trace with important impact for predictive docking.

Authors:  Hocine Madaoui; Raphaël Guerois
Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-29       Impact factor: 11.205

9.  Using support vector machine combined with post-processing procedure to improve prediction of interface residues in transient complexes.

Authors:  Rong Liu; Yanhong Zhou
Journal:  Protein J       Date:  2009-10       Impact factor: 2.371

10.  Modeling CAPRI targets 110-120 by template-based and free docking using contact potential and combined scoring function.

Authors:  Petras J Kundrotas; Ivan Anishchenko; Varsha D Badal; Madhurima Das; Taras Dauzhenka; Ilya A Vakser
Journal:  Proteins       Date:  2017-09-28
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