Literature DB >> 9405143

Identification of functional surfaces of the zinc binding domains of intracellular receptors.

O Lichtarge1, K R Yamamoto, F E Cohen.   

Abstract

Transcriptional regulatory factor complexes assemble on genomic response elements to control gene expression. To gain insights on the surfaces that determine this assembly in the zinc binding domains from intracellular receptors, we systematically analyzed the variations in sequence and function of those domains in the context of their invariant fold. Taking the intracellular receptor superfamily as a whole revealed a hierarchy of amino acid residues along the DNA interface that correlated with response element binding specificity. When only steroid receptors were considered, two additional sites appeared: the known dimer interface, and a novel putative interface suitably located to contact regulatory factors bound to the free face of palindromic response elements commonly used by steroid receptors. Surprisingly, retinoic acid receptors, not known to bind palindromic response elements, contain both of these surfaces, implying that they may dimerize at palindromic elements under some circumstances. This work extends Evolutionary Trace analysis of functional surfaces to protein-DNA interactions, suggests how coordinated exchange of trace residues may predictably switch binding specificity, and demonstrates how to detect functional surfaces that are not apparent from sequence comparison alone. Copyright 1997 Academic Press Limited.

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Year:  1997        PMID: 9405143     DOI: 10.1006/jmbi.1997.1395

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


  35 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
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2.  Automated selection of positions determining functional specificity of proteins by comparative analysis of orthologous groups in protein families.

Authors:  Olga V Kalinina; Andrey A Mironov; Mikhail S Gelfand; Aleksandra B Rakhmaninova
Journal:  Protein Sci       Date:  2004-02       Impact factor: 6.725

3.  Side-chain conformational entropy at protein-protein interfaces.

Authors:  Christian Cole; Jim Warwicker
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

4.  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

5.  The evolutionary origins and catalytic importance of conserved electrostatic networks within TIM-barrel proteins.

Authors:  Dennis R Livesay; David La
Journal:  Protein Sci       Date:  2005-05       Impact factor: 6.725

Review 6.  Computational methods in drug design: modeling G protein-coupled receptor monomers, dimers, and oligomers.

Authors:  Patricia H Reggio
Journal:  AAPS J       Date:  2006-05-12       Impact factor: 4.009

7.  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

8.  Prediction and experimental validation of enzyme substrate specificity in protein structures.

Authors:  Shivas R Amin; Serkan Erdin; R Matthew Ward; Rhonald C Lua; Olivier Lichtarge
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-21       Impact factor: 11.205

9.  Solution structure of inhibitor-free human metalloelastase (MMP-12) indicates an internal conformational adjustment.

Authors:  Rajagopalan Bhaskaran; Mark O Palmier; Nusayba A Bagegni; Xiangyang Liang; Steven R Van Doren
Journal:  J Mol Biol       Date:  2007-10-16       Impact factor: 5.469

10.  Activation of androgen receptor function by a novel nuclear protein kinase.

Authors:  A M Moilanen; U Karvonen; H Poukka; O A Jänne; J J Palvimo
Journal:  Mol Biol Cell       Date:  1998-09       Impact factor: 4.138

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