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GPCR-SAS: A web application for statistical analyses on G protein-coupled receptors sequences

G protein-coupled receptors (GPCRs) are one of the largest protein families in mammals. They mediate signal transduction across cell membranes and are important targets for the pharmaceutical industry. The G Protein-Coupled Receptors—Sequence Analysis and Statistics (GPCR-SAS) web application provid...

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Autores principales: Gómez Tamayo, José Carlos, Olivella, Mireia, Ríos, Santiago, Hoogstraat, Marlous, Gonzalez, Angel, Mayol, Eduardo, Deupi, Xavier, Campillo, Mercedes, Cordomí, Arnau
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059404/
https://www.ncbi.nlm.nih.gov/pubmed/30044824
http://dx.doi.org/10.1371/journal.pone.0199843
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author Gómez Tamayo, José Carlos
Olivella, Mireia
Ríos, Santiago
Hoogstraat, Marlous
Gonzalez, Angel
Mayol, Eduardo
Deupi, Xavier
Campillo, Mercedes
Cordomí, Arnau
author_facet Gómez Tamayo, José Carlos
Olivella, Mireia
Ríos, Santiago
Hoogstraat, Marlous
Gonzalez, Angel
Mayol, Eduardo
Deupi, Xavier
Campillo, Mercedes
Cordomí, Arnau
author_sort Gómez Tamayo, José Carlos
collection PubMed
description G protein-coupled receptors (GPCRs) are one of the largest protein families in mammals. They mediate signal transduction across cell membranes and are important targets for the pharmaceutical industry. The G Protein-Coupled Receptors—Sequence Analysis and Statistics (GPCR-SAS) web application provides a set of tools to perform comparative analysis of sequence positions between receptors, based on a curated structural-informed multiple sequence alignment. The analysis tools include: (i) percentage of occurrence of an amino acid or motif and entropy at a position or range of positions, (ii) covariance of two positions, (iii) correlation between two amino acids in two positions (or two sequence motifs in two ranges of positions), and (iv) snake-plot representation for a specific receptor or for the consensus sequence of a group of selected receptors. The analysis of conservation of residues and motifs across transmembrane (TM) segments may guide the design of more selective ligands or help to rationalize activation mechanisms, among others. As an example, here we analyze the amino acids of the “transmission switch”, that initiates receptor activation following ligand binding. The tool is freely accessible at http://lmc.uab.cat/gpcrsas/.
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spelling pubmed-60594042018-08-06 GPCR-SAS: A web application for statistical analyses on G protein-coupled receptors sequences Gómez Tamayo, José Carlos Olivella, Mireia Ríos, Santiago Hoogstraat, Marlous Gonzalez, Angel Mayol, Eduardo Deupi, Xavier Campillo, Mercedes Cordomí, Arnau PLoS One Research Article G protein-coupled receptors (GPCRs) are one of the largest protein families in mammals. They mediate signal transduction across cell membranes and are important targets for the pharmaceutical industry. The G Protein-Coupled Receptors—Sequence Analysis and Statistics (GPCR-SAS) web application provides a set of tools to perform comparative analysis of sequence positions between receptors, based on a curated structural-informed multiple sequence alignment. The analysis tools include: (i) percentage of occurrence of an amino acid or motif and entropy at a position or range of positions, (ii) covariance of two positions, (iii) correlation between two amino acids in two positions (or two sequence motifs in two ranges of positions), and (iv) snake-plot representation for a specific receptor or for the consensus sequence of a group of selected receptors. The analysis of conservation of residues and motifs across transmembrane (TM) segments may guide the design of more selective ligands or help to rationalize activation mechanisms, among others. As an example, here we analyze the amino acids of the “transmission switch”, that initiates receptor activation following ligand binding. The tool is freely accessible at http://lmc.uab.cat/gpcrsas/. Public Library of Science 2018-07-25 /pmc/articles/PMC6059404/ /pubmed/30044824 http://dx.doi.org/10.1371/journal.pone.0199843 Text en © 2018 Gómez Tamayo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gómez Tamayo, José Carlos
Olivella, Mireia
Ríos, Santiago
Hoogstraat, Marlous
Gonzalez, Angel
Mayol, Eduardo
Deupi, Xavier
Campillo, Mercedes
Cordomí, Arnau
GPCR-SAS: A web application for statistical analyses on G protein-coupled receptors sequences
title GPCR-SAS: A web application for statistical analyses on G protein-coupled receptors sequences
title_full GPCR-SAS: A web application for statistical analyses on G protein-coupled receptors sequences
title_fullStr GPCR-SAS: A web application for statistical analyses on G protein-coupled receptors sequences
title_full_unstemmed GPCR-SAS: A web application for statistical analyses on G protein-coupled receptors sequences
title_short GPCR-SAS: A web application for statistical analyses on G protein-coupled receptors sequences
title_sort gpcr-sas: a web application for statistical analyses on g protein-coupled receptors sequences
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059404/
https://www.ncbi.nlm.nih.gov/pubmed/30044824
http://dx.doi.org/10.1371/journal.pone.0199843
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