Literature DB >> 15533451

Comparative structural and energetic analysis of WW domain-peptide interactions.

Karin Schleinkofer1, Urs Wiedemann, Livia Otte, Ting Wang, Gerd Krause, Hartmut Oschkinat, Rebecca C Wade.   

Abstract

WW domains are small globular protein interaction modules found in a wide spectrum of proteins. They recognize their target proteins by binding specifically to short linear peptide motifs that are often proline-rich. To infer the determinants of the ligand binding propensities of WW domains, we analyzed 42 WW domains. We built models of the 3D structures of the WW domains and their peptide complexes by comparative modeling supplemented with experimental data from peptide library screens. The models provide new insights into the orientation and position of the peptide in structures of WW domain-peptide complexes that have not yet been determined experimentally. From a protein interaction property similarity analysis (PIPSA) of the WW domain structures, we show that electrostatic potential is a distinguishing feature of WW domains and we propose a structure-based classification of WW domains that expands the existent ligand-based classification scheme. Application of the comparative molecular field analysis (CoMFA), GRID/GOLPE and comparative binding energy (COMBINE) analysis methods permitted the derivation of quantitative structure-activity relationships (QSARs) that aid in identifying the specificity-determining residues within WW domains and their ligand-recognition motifs. Using these QSARs, a new group-specific sequence feature of WW domains that target arginine-containing peptides was identified. Finally, the QSAR models were applied to the design of a peptide to bind with greater affinity than the known binding peptide sequences of the yRSP5-1 WW domain. The prediction was verified experimentally, providing validation of the QSAR models and demonstrating the possibility of rationally improving peptide affinity for WW domains. The QSAR models may also be applied to the prediction of the specificity of WW domains with uncharacterized ligand-binding properties.

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Year:  2004        PMID: 15533451     DOI: 10.1016/j.jmb.2004.09.063

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


  15 in total

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

2.  Folding, misfolding, and amyloid protofibril formation of WW domain FBP28.

Authors:  Yuguang Mu; Lars Nordenskiöld; James P Tam
Journal:  Biophys J       Date:  2006-03-13       Impact factor: 4.033

3.  Immunophysical properties and prediction of activities for vaccinia virus complement control protein and smallpox inhibitor of complement enzymes using molecular dynamics and electrostatics.

Authors:  Li Zhang; Dimitrios Morikis
Journal:  Biophys J       Date:  2006-02-10       Impact factor: 4.033

4.  Prediction of peptides binding to the PKA RIIalpha subunit using a hierarchical strategy.

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Journal:  Bioinformatics       Date:  2011-05-17       Impact factor: 6.937

5.  Electrostatic similarity of proteins: application of three dimensional spherical harmonic decomposition.

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Journal:  J Chem Phys       Date:  2008-07-07       Impact factor: 3.488

6.  Rapid comparison of properties on protein surface.

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Journal:  Proteins       Date:  2008-10

7.  The interaction properties of the human Rab GTPase family--comparative analysis reveals determinants of molecular binding selectivity.

Authors:  Matthias Stein; Manohar Pilli; Sabine Bernauer; Bianca H Habermann; Marino Zerial; Rebecca C Wade
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8.  A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequence.

Authors:  Xiaojian Shao; Chris S H Tan; Courtney Voss; Shawn S C Li; Naiyang Deng; Gary D Bader
Journal:  Bioinformatics       Date:  2010-12-02       Impact factor: 6.937

9.  Clustering of HIV-1 Subtypes Based on gp120 V3 Loop electrostatic properties.

Authors:  Aliana López de Victoria; Chris A Kieslich; Apostolos K Rizos; Elias Krambovitis; Dimitrios Morikis
Journal:  BMC Biophys       Date:  2012-02-07       Impact factor: 4.778

Review 10.  Evolutionary and biophysical relationships among the papillomavirus E2 proteins.

Authors:  Dukagjin M Blakaj; Narcis Fernandez-Fuentes; Zigui Chen; Rashmi Hegde; Andras Fiser; Robert D Burk; Michael Brenowitz
Journal:  Front Biosci (Landmark Ed)       Date:  2009-01-01
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