Manifold learning visualization of Metabotropic glutamate receptors

Martha Ivón Cárdenas*, Alfredo Vellido, Jesús Giraldo

*Autor corresponent d’aquest treball

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Resum

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.

Idioma originalAnglès
Pàgines (de-a)269-272
Nombre de pàgines4
RevistaFrontiers in Artificial Intelligence and Applications
DOIs
Estat de la publicacióPublicada - 2014

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