Manifold learning visualization of metabotropic glutamate receptors

Autor:	Cárdenas Domínguez, Martha Ivón, Vellido Alcacena, Alfredo, Giraldo Arjonilla, Jesús
Přispěvatelé:	Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. SOCO - Soft Computing
Jazyk:	angličtina
Rok vydání:	2014
Předmět:	Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC] Data visualization G-protein-coupled receptors Proteïnes -- Investigació Metabotropic glutamate receptors Generative topographic mapping Protein research
Zdroj:	UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Recercat. Dipósit de la Recerca de Catalunya instname
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f52846bcac37b623738ba4e76a232dfb http://hdl.handle.net/2117/82949 Zobrazit plný text záznamu