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Recognition of the ligand-type specificity of classical and non-classical MHC I proteins.

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Martínez Naves, Eduardo and Lafuente Duarte, Esther and Reche, Pedro A (2011) Recognition of the ligand-type specificity of classical and non-classical MHC I proteins. FEBS letters, 585 (21). pp. 3478-84. ISSN 1873-3468

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Official URL: http://www.sciencedirect.com/science/article/pii/S0014579311007459



Abstract

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.


Item Type:Article
Uncontrolled Keywords:Classical MHC class I molecule, Non-classical MHC class I molecule, Machine learning, Ligand, Prediction
Subjects:Medical sciences > Biology > Molecular biology
Sciences > Computer science > Bioinformatics
ID Code:13830
Deposited On:08 Oct 2014 08:50
Last Modified:13 Dec 2018 12:48

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