Literature DB >> 15229886

Classification of common functional loops of kinase super-families.

Narcis Fernandez-Fuentes1, Antoni Hermoso, Jordi Espadaler, Enrique Querol, Francesc X Aviles, Baldomero Oliva.   

Abstract

A structural classification of loops has been obtained from a set of 141 protein structures classified as kinases. A total of 1813 loops was classified into 133 subclasses (9 betabeta(links), 15 betabeta(hairpins), 31 alpha-alpha, 46 alpha-beta and 32 beta-alpha). Functional information and specific features relating subclasses and function were included in the classification. Functional loops such as the P-loop (shared by different folds) or the Gly-rich-loop, among others, were classified into structural motifs. As a result, a common mechanism of catalysis and substrate binding was proved for most kinases. Additionally, the multiple-alignment of loop sequences made within each subclass was shown to be useful for comparative modeling of kinase loops. The classification is summarized in a kinase loop database located at http://sbi.imim.es/archki. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15229886     DOI: 10.1002/prot.20136

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


  12 in total

1.  Analysis of loop boundaries using different local structure assignment methods.

Authors:  Manoj Tyagi; Aurélie Bornot; Bernard Offmann; Alexandre G de Brevern
Journal:  Protein Sci       Date:  2009-09       Impact factor: 6.725

2.  Role of unusual P loop ejection and autophosphorylation in HipA-mediated persistence and multidrug tolerance.

Authors:  Maria A Schumacher; JungKi Min; Todd M Link; Ziqiang Guan; Weijun Xu; Young-Ho Ahn; Erik J Soderblom; Jonathan M Kurie; Artem Evdokimov; M Arthur Moseley; Kim Lewis; Richard G Brennan
Journal:  Cell Rep       Date:  2012-09-20       Impact factor: 9.423

3.  Mining protein loops using a structural alphabet and statistical exceptionality.

Authors:  Leslie Regad; Juliette Martin; Gregory Nuel; Anne-Claude Camproux
Journal:  BMC Bioinformatics       Date:  2010-02-04       Impact factor: 3.169

4.  Dissecting protein loops with a statistical scalpel suggests a functional implication of some structural motifs.

Authors:  Leslie Regad; Juliette Martin; Anne-Claude Camproux
Journal:  BMC Bioinformatics       Date:  2011-06-20       Impact factor: 3.169

5.  ProCKSI: a decision support system for Protein (structure) Comparison, Knowledge, Similarity and Information.

Authors:  Daniel Barthel; Jonathan D Hirst; Jacek Błazewicz; Edmund K Burke; Natalio Krasnogor
Journal:  BMC Bioinformatics       Date:  2007-10-26       Impact factor: 3.169

6.  Identify Beta-Hairpin Motifs with Quadratic Discriminant Algorithm Based on the Chemical Shifts.

Authors:  Feng YongE; Kou GaoShan
Journal:  PLoS One       Date:  2015-09-30       Impact factor: 3.240

7.  ArchDB 2014: structural classification of loops in proteins.

Authors:  Jaume Bonet; Joan Planas-Iglesias; Javier Garcia-Garcia; Manuel A Marín-López; Narcis Fernandez-Fuentes; Baldo Oliva
Journal:  Nucleic Acids Res       Date:  2013-11-21       Impact factor: 16.971

8.  Including Functional Annotations and Extending the Collection of Structural Classifications of Protein Loops (ArchDB).

Authors:  Antoni Hermoso; Jordi Espadaler; E Enrique Querol; Francesc X Aviles; Michael J E Sternberg; Baldomero Oliva; Narcis Fernandez-Fuentes
Journal:  Bioinform Biol Insights       Date:  2009-11-24

9.  What's in a loop?

Authors:  Stephan M Feller; Marc Lewitzky
Journal:  Cell Commun Signal       Date:  2012-10-30       Impact factor: 5.712

10.  Clustering protein environments for function prediction: finding PROSITE motifs in 3D.

Authors:  Sungroh Yoon; Jessica C Ebert; Eui-Young Chung; Giovanni De Micheli; Russ B Altman
Journal:  BMC Bioinformatics       Date:  2007-05-22       Impact factor: 3.169

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