Literature DB >> 14668868

Optimization of specificity in a cellular protein interaction network by negative selection.

Ali Zarrinpar1, Sang-Hyun Park, Wendell A Lim.   

Abstract

Most proteins that participate in cellular signalling networks contain modular protein-interaction domains. Multiple versions of such domains are present within a given organism: the yeast proteome, for example, contains 27 different Src homology 3 (SH3) domains. This raises the potential problem of cross-reaction. It is generally thought that isolated domain-ligand pairs lack sufficient information to encode biologically unique interactions, and that specificity is instead encoded by the context in which the interaction pairs are presented. Here we show that an isolated peptide ligand from the yeast protein Pbs2 recognizes its biological partner, the SH3 domain from Sho1, with near-absolute specificity--no other SH3 domain present in the yeast genome cross-reacts with the Pbs2 peptide, in vivo or in vitro. Such high specificity, however, is not observed in a set of non-yeast SH3 domains, and Pbs2 motif variants that cross-react with other SH3 domains confer a fitness defect, indicating that the Pbs2 motif might have been optimized to minimize interaction with competing domains specifically found in yeast. System-wide negative selection is a subtle but powerful evolutionary mechanism to optimize specificity within an interaction network composed of overlapping recognition elements.

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Year:  2003        PMID: 14668868     DOI: 10.1038/nature02178

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  113 in total

1.  Distinct peptide binding specificities of Src homology 3 (SH3) protein domains can be determined by modulation of local energetics across the binding interface.

Authors:  Maryna Gorelik; Alan R Davidson
Journal:  J Biol Chem       Date:  2012-01-25       Impact factor: 5.157

2.  Designing orthogonal signaling pathways: how to fit in with the surroundings.

Authors:  John Karanicolas
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-26       Impact factor: 11.205

3.  SH2 domains recognize contextual peptide sequence information to determine selectivity.

Authors:  Bernard A Liu; Karl Jablonowski; Eshana E Shah; Brett W Engelmann; Richard B Jones; Piers D Nash
Journal:  Mol Cell Proteomics       Date:  2010-07-13       Impact factor: 5.911

4.  Engineering of weak helper interactions for high-efficiency FRET probes.

Authors:  Raik Grünberg; Julia V Burnier; Tony Ferrar; Violeta Beltran-Sastre; François Stricher; Almer M van der Sloot; Raquel Garcia-Olivas; Arrate Mallabiabarrena; Xavier Sanjuan; Timo Zimmermann; Luis Serrano
Journal:  Nat Methods       Date:  2013-09-01       Impact factor: 28.547

Review 5.  Fast, cheap and somewhat in control.

Authors:  Adam P Arkin; Daniel A Fletcher
Journal:  Genome Biol       Date:  2006       Impact factor: 13.583

6.  Characterization of the Phd repressor-antitoxin boundary.

Authors:  James Estle McKinley; Roy David Magnuson
Journal:  J Bacteriol       Date:  2005-01       Impact factor: 3.490

Review 7.  Specificity and versatility of SH3 and other proline-recognition domains: structural basis and implications for cellular signal transduction.

Authors:  Shawn S-C Li
Journal:  Biochem J       Date:  2005-09-15       Impact factor: 3.857

8.  Quantitative relation between intermolecular and intramolecular binding of pro-rich peptides to SH3 domains.

Authors:  Huan-Xiang Zhou
Journal:  Biophys J       Date:  2006-08-04       Impact factor: 4.033

9.  A biological interpretation of transient anomalous subdiffusion. I. Qualitative model.

Authors:  Michael J Saxton
Journal:  Biophys J       Date:  2006-12-01       Impact factor: 4.033

10.  Interaction with the SH3 domain protein Bem1 regulates signaling by the Saccharomyces cerevisiae p21-activated kinase Ste20.

Authors:  Matthew J Winters; Peter M Pryciak
Journal:  Mol Cell Biol       Date:  2005-03       Impact factor: 4.272

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