Literature DB >> 16532452

A two-entropies analysis to identify functional positions in the transmembrane region of class A G protein-coupled receptors.

Kai Ye1, Eric-Wubbo M Lameijer, Margot W Beukers, Adriaan P Ijzerman.   

Abstract

Residues in the transmembrane region of G protein-coupled receptors (GPCRs) are important for ligand binding and activation, but the function of individual positions is poorly understood. Using a sequence alignment of class A GPCRs (grouped in subfamilies), we propose a so-called "two-entropies analysis" to determine the potential role of individual positions in the transmembrane region of class A GPCRs. In our approach, such positions appear scattered, while largely clustered according to their biological function. Our method appears superior when compared to other bioinformatics approaches, such as the evolutionary trace method, entropy-variability plot, and correlated mutation analysis, both qualitatively and quantitatively. 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16532452     DOI: 10.1002/prot.20899

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


  15 in total

1.  Advances in the Development and Application of Computational Methodologies for Structural Modeling of G-Protein Coupled Receptors.

Authors:  Juan Carlos Mobarec; Marta Filizola
Journal:  Expert Opin Drug Discov       Date:  2008-03       Impact factor: 6.098

2.  Multidimensional scaling reveals the main evolutionary pathways of class A G-protein-coupled receptors.

Authors:  Julien Pelé; Hervé Abdi; Matthieu Moreau; David Thybert; Marie Chabbert
Journal:  PLoS One       Date:  2011-04-22       Impact factor: 3.240

3.  GPCRDB: information system for G protein-coupled receptors.

Authors:  Bas Vroling; Marijn Sanders; Coos Baakman; Annika Borrmann; Stefan Verhoeven; Jan Klomp; Laerte Oliveira; Jacob de Vlieg; Gert Vriend
Journal:  Nucleic Acids Res       Date:  2010-11-02       Impact factor: 16.971

4.  Chemogenomic analysis of G-protein coupled receptors and their ligands deciphers locks and keys governing diverse aspects of signalling.

Authors:  Jörg D Wichard; Antonius Ter Laak; Gerd Krause; Nikolaus Heinrich; Ronald Kühne; Gunnar Kleinau
Journal:  PLoS One       Date:  2011-02-04       Impact factor: 3.240

5.  Determinants, discriminants, conserved residues--a heuristic approach to detection of functional divergence in protein families.

Authors:  Kavitha Bharatham; Zong Hong Zhang; Ivana Mihalek
Journal:  PLoS One       Date:  2011-09-12       Impact factor: 3.240

6.  NucleaRDB: information system for nuclear receptors.

Authors:  Bas Vroling; David Thorne; Philip McDermott; Henk-Jan Joosten; Teresa K Attwood; Steve Pettifer; Gert Vriend
Journal:  Nucleic Acids Res       Date:  2011-11-07       Impact factor: 16.971

7.  ss-TEA: Entropy based identification of receptor specific ligand binding residues from a multiple sequence alignment of class A GPCRs.

Authors:  Marijn P A Sanders; Wilco W M Fleuren; Stefan Verhoeven; Sven van den Beld; Wynand Alkema; Jacob de Vlieg; Jan P G Klomp
Journal:  BMC Bioinformatics       Date:  2011-08-10       Impact factor: 3.169

8.  SPEER-SERVER: a web server for prediction of protein specificity determining sites.

Authors:  Abhijit Chakraborty; Sapan Mandloi; Christopher J Lanczycki; Anna R Panchenko; Saikat Chakrabarti
Journal:  Nucleic Acids Res       Date:  2012-06-11       Impact factor: 16.971

9.  Characterization and prediction of residues determining protein functional specificity.

Authors:  John A Capra; Mona Singh
Journal:  Bioinformatics       Date:  2008-05-01       Impact factor: 6.937

10.  Computing highly correlated positions using mutual information and graph theory for G protein-coupled receptors.

Authors:  Sarosh N Fatakia; Stefano Costanzi; Carson C Chow
Journal:  PLoS One       Date:  2009-03-05       Impact factor: 3.240

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