dc.contributor
Universitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.contributor
Universitat Politècnica de Catalunya. SOCO - Soft Computing
dc.contributor.author
Cárdenas Domínguez, Martha Ivón
dc.contributor.author
Vellido Alcacena, Alfredo
dc.contributor.author
Giraldo Arjonilla, Jesús
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
978-1-61499-451-0
dc.identifier
https://hdl.handle.net/2117/82949
dc.identifier
10.3233/978-1-61499-452-7-269
dc.description.abstract
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.abstract
Peer Reviewed
dc.description.abstract
Postprint (author's final draft)
dc.format
application/pdf
dc.relation
http://ebooks.iospress.nl/publication/38078
dc.subject
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject
Protein research
dc.subject
G-protein-coupled receptors
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Metabotropic glutamate receptors
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Data visualization
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Generative topographic mapping
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Proteïnes -- Investigació
dc.title
Manifold learning visualization of metabotropic glutamate receptors
dc.type
Conference report