GPCR-SAS : A web application for statistical analyses on G protein-coupled receptors sequences
Gómez-Tamayo, José Carlos (Universitat Autònoma de Barcelona)
Olivella, Mireia (Universitat de Vic)
Ríos, Santiago (Universitat Autònoma de Barcelona)
Hoogstraat, Marlous (The Netherlands Cancer Institute (Amsterdam))
Gonzalez, Angel (Universitat Autònoma de Barcelona)
Mayol, Eduardo (Universitat Autònoma de Barcelona)
Deupi, Xavier (Laboratory of Biomolecular Research and Condensed Matter Theory Group (Suïssa))
Campillo Grau, María Mercedes (Universitat Autònoma de Barcelona)
Cordomí Montoya, Arnau (Universitat Autònoma de Barcelona)

Data:	2018
Resum:	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 .
Nota:	Altres ajuts: Secretaría de Estado de Investigación, Desarrollo e Innovación SAF2015-74627-JIN
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Publicat a:	PloS one, Vol. 13 (july 2018) , ISSN 1932-6203

DOI: 10.1371/journal.pone.0199843
PMID: 30044824

14 p, 6.5 MB

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