Literature DB >> 14661965

Dimerization in aminergic G-protein-coupled receptors: application of a hidden-site class model of evolution.

Orkun S Soyer1, Matthew W Dimmic, Richard R Neubig, Richard A Goldstein.   

Abstract

G-Protein-coupled receptors (GPCRs) are an important superfamily of transmembrane proteins involved in cellular communication. Recently, it has been shown that dimerization is a widely occurring phenomenon in the GPCR superfamily, with likely important physiological roles. Here we use a novel hidden-site class model of evolution as a sequence analysis tool to predict possible dimerization interfaces in GPCRs. This model aims to simulate the evolution of proteins at the amino acid level, allowing the analysis of their sequences in an explicitly evolutionary context. Applying this model to aminergic GPCR sequences, we first validate the general reasoning behind the model. We then use the model to perform a family specific analysis of GPCRs. Accounting for the family structure of these proteins, this approach detects different evolutionarily conserved and accessible patches on transmembrane (TM) helices 4-6 in different families. On the basis of these findings, we propose an experimentally testable dimerization mechanism, involving interactions among different combinations of these helices in different families of aminergic GPCRs.

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Year:  2003        PMID: 14661965     DOI: 10.1021/bi035097r

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  15 in total

1.  The G protein-coupled receptor rhodopsin in the native membrane.

Authors:  Dimitrios Fotiadis; Yan Liang; Slawomir Filipek; David A Saperstein; Andreas Engel; Krzysztof Palczewski
Journal:  FEBS Lett       Date:  2004-04-30       Impact factor: 4.124

Review 2.  Entropy and oligomerization in GPCRs.

Authors:  Rajkumar P Thummer; Matthew P Campbell; Mark K Dean; Marie J Frusher; Paul D Scott; Christopher A Reynolds
Journal:  J Mol Neurosci       Date:  2005       Impact factor: 3.444

Review 3.  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

4.  Observations of amino acid gain and loss during protein evolution are explained by statistical bias.

Authors:  Richard A Goldstein; David D Pollock
Journal:  Mol Biol Evol       Date:  2006-05-11       Impact factor: 16.240

5.  Rhodopsin signaling and organization in heterozygote rhodopsin knockout mice.

Authors:  Yan Liang; Dimitrios Fotiadis; Tadao Maeda; Akiko Maeda; Anna Modzelewska; Slawomir Filipek; David A Saperstein; Andreas Engel; Krzysztof Palczewski
Journal:  J Biol Chem       Date:  2004-08-26       Impact factor: 5.157

6.  Genes encoding putative biogenic amine receptors in the parasitic nematode Brugia malayi.

Authors:  Katherine A Smith; Richard W Komuniecki; Elodie Ghedin; David Spiro; John Gray
Journal:  Invert Neurosci       Date:  2007-11-20

Review 7.  Computational approaches for modeling GPCR dimerization.

Authors:  Xuan-Yu Meng; Mihaly Mezei; Meng Cui
Journal:  Curr Pharm Biotechnol       Date:  2014       Impact factor: 2.837

8.  Interface Prediction for GPCR Oligomerization Between Transmembrane Helices.

Authors:  Wataru Nemoto; Akira Saito
Journal:  Methods Mol Biol       Date:  2021

Review 9.  Inactive and active states and supramolecular organization of GPCRs: insights from computational modeling.

Authors:  Francesca Fanelli; Pier G De Benedetti
Journal:  J Comput Aided Mol Des       Date:  2006-09-29       Impact factor: 4.179

10.  Identifying dramatic selection shifts in phylogenetic trees.

Authors:  Karin S Dorman
Journal:  BMC Evol Biol       Date:  2007-02-08       Impact factor: 3.260

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