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Title:
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Manifold learning visualization of metabotropic glutamate receptors
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Author:
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Cárdenas Domínguez, Martha Ivón; Vellido Alcacena, Alfredo; Giraldo Arjonilla, Jesús
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. SOCO - Soft Computing |
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Abstract:
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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. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
-Protein research
-G-protein-coupled receptors
-Metabotropic glutamate receptors
-Data visualization
-Generative topographic mapping
-Proteïnes -- Investigació |
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Rights:
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Document type:
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Article - Submitted version
Conference Object |
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Published by:
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IOS Press
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