Literature DB >> 11224568

Prediction and confirmation of a site critical for effector regulation of RGS domain activity.

M E Sowa1, W He, K C Slep, M A Kercher, O Lichtarge, T G Wensel.   

Abstract

A critical challenge of structural genomics is to extract functional information from protein structures. We present an example of how this may be accomplished using the Evolutionary Trace (ET) method in the context of the regulators of G protein signaling (RGS) family. We have previously applied ET to the RGS family and identified a novel, evolutionarily privileged site on the RGS domain as important for regulating RGS activity. Here we confirm through targeted mutagenesis of RGS7 that these ET-identified residues are critical for RGS domain regulation and are likely to function as global determinants of RGS function. We also discuss how the recent structure of the complex of RGS9, Gt/i1alpha-GDP-AlF4- and the effector subunit PDEgamma confirms their contact with the effector-G protein interface, forming a structural pathway that communicates from the effector-contacting surface of the G protein and RGS catalytic core domain to the catalytic interface between Galpha and RGS. These results demonstrate the effectiveness of ET for identifying binding sites and efficiently focusing mutational studies on their key residues, thereby linking raw sequence and structure data to functional information.

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Year:  2001        PMID: 11224568     DOI: 10.1038/84974

Source DB:  PubMed          Journal:  Nat Struct Biol        ISSN: 1072-8368


  42 in total

Review 1.  Accurate and scalable identification of functional sites by evolutionary tracing.

Authors:  Olivier Lichtarge; Hui Yao; David M Kristensen; Srinivasan Madabushi; Ivana Mihalek
Journal:  J Struct Funct Genomics       Date:  2003

2.  Are protein-protein interfaces more conserved in sequence than the rest of the protein surface?

Authors:  Daniel R Caffrey; Shyamal Somaroo; Jason D Hughes; Julian Mintseris; Enoch S Huang
Journal:  Protein Sci       Date:  2004-01       Impact factor: 6.725

3.  SiteLight: binding-site prediction using phage display libraries.

Authors:  Inbal Halperin; Haim Wolfson; Ruth Nussinov
Journal:  Protein Sci       Date:  2003-07       Impact factor: 6.725

4.  NMR structure of the forkhead-associated domain from the Arabidopsis receptor kinase-associated protein phosphatase.

Authors:  Gui-In Lee; Zhaofeng Ding; John C Walker; Steven R Van Doren
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-18       Impact factor: 11.205

5.  Evolution-guided discovery and recoding of allosteric pathway specificity determinants in psychoactive bioamine receptors.

Authors:  Gustavo J Rodriguez; Rong Yao; Olivier Lichtarge; Theodore G Wensel
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-12       Impact factor: 11.205

6.  Sequence and structure continuity of evolutionary importance improves protein functional site discovery and annotation.

Authors:  A D Wilkins; R Lua; S Erdin; R M Ward; O Lichtarge
Journal:  Protein Sci       Date:  2010-07       Impact factor: 6.725

7.  Evolutionary trace residues in noroviruses: importance in receptor binding, antigenicity, virion assembly, and strain diversity.

Authors:  Sugoto Chakravarty; Anne M Hutson; Mary K Estes; B V Venkataram Prasad
Journal:  J Virol       Date:  2005-01       Impact factor: 5.103

8.  Recurrent use of evolutionary importance for functional annotation of proteins based on local structural similarity.

Authors:  David M Kristensen; Brian Y Chen; Viacheslav Y Fofanov; R Matthew Ward; Andreas Martin Lisewski; Marek Kimmel; Lydia E Kavraki; Olivier Lichtarge
Journal:  Protein Sci       Date:  2006-05-02       Impact factor: 6.725

9.  Determination of network of residues that regulate allostery in protein families using sequence analysis.

Authors:  Ruxandra I Dima; D Thirumalai
Journal:  Protein Sci       Date:  2006-02       Impact factor: 6.725

Review 10.  Signal transducing membrane complexes of photoreceptor outer segments.

Authors:  Theodore G Wensel
Journal:  Vision Res       Date:  2008-05-05       Impact factor: 1.886

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