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dc.contributor.authorVellido Alcacena, Alfredo
dc.contributor.authorCárdenas, Martha Ivón
dc.contributor.authorOlier Caparroso, Iván
dc.contributor.authorRovira, Xavier
dc.contributor.authorGiraldo, Jesús
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2013-10-03T09:35:28Z
dc.date.available2013-10-03T09:35:28Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationVellido, A. [et al.]. A probabilistic approach to the visual exploration of G protein-coupled receptor sequences. A: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. "Proceedings: 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2011: Bruges, Belgium, April 27-28-29, 2011". Bruges: 2011, p. 233-238.
dc.identifier.isbn978-2-87419-044-5
dc.identifier.urihttp://hdl.handle.net/2117/20272
dc.description.abstractThe study of G protein-coupled receptors (GPCRs) is of great interest in pharmaceutical research, but only a few of their 3D structures are known at present. On the contrary, their amino acid sequences are known and accessible. Sequence analysis can provide new insight on GPCR function. Here, we use a kernel-based statistical machine learning model for the visual exploration of GPCR functional groups from their sequences. This is based on the rich information provided by the model regarding the probability of each sequence belonging to a certain receptor group.
dc.format.extent6 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subject.lcshG proteins
dc.subject.lcshProtein research
dc.subject.lcshMachine learning
dc.titleA probabilistic approach to the visual exploration of G protein-coupled receptor sequences
dc.typeConference report
dc.subject.lemacProteïnes G
dc.subject.lemacProteïnes -- Investigació
dc.subject.lemacAprenentatge automàtic
dc.contributor.groupUniversitat Politècnica de Catalunya. SOCO - Soft Computing
dc.rights.accessOpen Access
local.identifier.drac11694699
dc.description.versionPostprint (published version)
local.citation.authorVellido, A.; Cárdenas, M.; Olier, I.; Rovira, X.; GIRALDO, JESUS
local.citation.contributorEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
local.citation.pubplaceBruges
local.citation.publicationNameProceedings: 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2011: Bruges, Belgium, April 27-28-29, 2011
local.citation.startingPage233
local.citation.endingPage238


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