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Título:
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Recognition of the ligand-type specificity of classical and non-classical MHC I proteins.
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Autores:
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Martínez Naves, Eduardo ;
Lafuente Duarte, Esther ;
Reche, Pedro A
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Tipo de documento:
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texto impreso
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Editorial:
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Federation of European Biochemical Societies, 2011
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Dimensiones:
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application/pdf
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Nota general:
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cc_by
info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias Biomédicas: Biología: Biología molecular
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Materia = Ciencias: Informática: Bioinformática
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Tipo = Artículo
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Resumen:
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Functional characterization of proteins belonging to the MHC I superfamily involves knowing their cognate ligands, which can be peptides, lipids or none. However, the experimental identification of these ligands is not an easy task and generally requires some a priori knowledge of their chemical nature (ligand-type specificity). Here, we trained k-nearest neighbor and support vector machine classifiers that predict the ligand-type specificity MHC I proteins with great accuracy. Moreover, we applied these classifiers to human and mouse MHC I proteins of uncharacterized ligands, obtaining some results that can be instrumental to unravel the function of these proteins.
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En línea:
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https://eprints.ucm.es/id/eprint/13830/1/45.MtnezNaves_et_al_FEBS_2011.pdf
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