<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-13T18:06:01Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/82949" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/82949</identifier><datestamp>2026-02-07T09:30:48Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Manifold learning visualization of metabotropic glutamate receptors</dc:title>
   <dc:creator>Cárdenas Domínguez, Martha Ivón</dc:creator>
   <dc:creator>Vellido Alcacena, Alfredo</dc:creator>
   <dc:creator>Giraldo Arjonilla, Jesús</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. Departament de Ciències de la Computació</dc:contributor>
   <dc:contributor>Universitat Politècnica de Catalunya. SOCO - Soft Computing</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica</dc:subject>
   <dc:subject>Protein research</dc:subject>
   <dc:subject>G-protein-coupled receptors</dc:subject>
   <dc:subject>Metabotropic glutamate receptors</dc:subject>
   <dc:subject>Data visualization</dc:subject>
   <dc:subject>Generative topographic mapping</dc:subject>
   <dc:subject>Proteïnes -- Investigació</dc:subject>
   <dc:description>G-Protein-Coupled Receptors (GPCRs) are cell membrane proteins with a key role in biological processes. GPCRs of class C, in particular, are of great interest in pharmacology. The lack of knowledge about their 3-D structures means they must be investigated through their primary amino acid sequences. Sequence visualization can help to explore the existing receptor sub-groupings at different partition levels. In this paper, we focus on Metabotropic Glutamate Receptors (mGluR), a subtype of class C GPCRs. Different versions of a probabilistic manifold learning model are employed to comparatively sub-group and visualize them through different transformations of their sequences.</dc:description>
   <dc:description>Peer Reviewed</dc:description>
   <dc:description>Postprint (author's final draft)</dc:description>
   <dc:date>2014</dc:date>
   <dc:type>Conference report</dc:type>
   <dc:identifier>Cárdenas, M.I., Vellido, A., Giraldo, J. Manifold learning visualization of metabotropic glutamate receptors. A: International Conference of the Catalan Association for Artificial Intelligence. "Artificial Intelligence Research and Development: Proceedings of the 17th International Conference of the Catalan Association for Artificial Intelligence, Barcelona, Catalonia, Spain, October 22-24, 2014". Barcelona: IOS Press, 2014, p. 269-272.</dc:identifier>
   <dc:identifier>978-1-61499-451-0</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2117/82949</dc:identifier>
   <dc:identifier>10.3233/978-1-61499-452-7-269</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>http://ebooks.iospress.nl/publication/38078</dc:relation>
   <dc:rights>Open Access</dc:rights>
   <dc:format>4 p.</dc:format>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>IOS Press</dc:publisher>
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