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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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/. |
format | Online Article Text |
id | pubmed-6059404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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