Literature DB >> 12910455

Sequence analysis reveals how G protein-coupled receptors transduce the signal to the G protein.

Laerte Oliveira1, Paulo B Paiva, Antonio C M Paiva, Gerrit Vriend.   

Abstract

Sequence entropy-variability plots based on alignments of very large numbers of sequences-can indicate the location in proteins of the main active site and modulator sites. In the previous article in this issue, we applied this observation to a series of well-studied proteins and concluded that it was possible to detect most of the residues with a known functional role. Here, we apply the method to rhodopsin-like G protein-coupled receptors. Our conclusion is that G protein binding is the main evolutionary constraint on these receptors, and that other ligands, such as agonists, act as modulators. The activation of the receptors can be described as a simple, two-step process, and the residues involved in signal transduction can be identified. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12910455     DOI: 10.1002/prot.10489

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


  11 in total

1.  Evolutionary analysis of rhodopsin and cone pigments: connecting the three-dimensional structure with spectral tuning and signal transfer.

Authors:  David C Teller; Ronald E Stenkamp; Krzysztof Palczewski
Journal:  FEBS Lett       Date:  2003-11-27       Impact factor: 4.124

2.  Distinct interactions between the human adrenergic beta(2) receptor and Galpha(s)--an in silico study.

Authors:  Andrea Strasser; Hans-Joachim Wittmann
Journal:  J Mol Model       Date:  2010-01-30       Impact factor: 1.810

3.  Molecular modeling studies give hint for the existence of a symmetric hβ₂R-Gαβγ-homodimer.

Authors:  Andrea Straßer; Hans-Joachim Wittmann
Journal:  J Mol Model       Date:  2013-08-08       Impact factor: 1.810

4.  Role of lysine187 within the second extracellular loop of the type A cholecystokinin receptor in agonist-induced activation. Use of complementary charge-reversal mutagenesis to define a functionally important interdomain interaction.

Authors:  Maoqing Dong; Xi-Qin Ding; Scott E Thomas; Fan Gao; Polo C-H Lam; Ruben Abagyan; Laurence J Miller
Journal:  Biochemistry       Date:  2007-03-24       Impact factor: 3.162

5.  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

6.  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

7.  TreeDet: a web server to explore sequence space.

Authors:  Angel Carro; Michael Tress; David de Juan; Florencio Pazos; Pedro Lopez-Romero; Antonio del Sol; Alfonso Valencia; Ana M Rojas
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

8.  Predicting functional sites with an automated algorithm suitable for heterogeneous datasets.

Authors:  David La; Dennis R Livesay
Journal:  BMC Bioinformatics       Date:  2005-05-13       Impact factor: 3.169

9.  A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models.

Authors:  Nikolaos G Sgourakis; Pantelis G Bagos; Panagiotis K Papasaikas; Stavros J Hamodrakas
Journal:  BMC Bioinformatics       Date:  2005-04-22       Impact factor: 3.169

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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