1. Recognition of the ligand-type specificity of classical and non-classical MHC I proteins.
- Author
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Martínez-Naves E, Lafuente EM, and Reche PA
- Subjects
- Amino Acid Sequence, Animals, HLA Antigens chemistry, Humans, Ligands, Mice, Models, Molecular, Molecular Sequence Data, Protein Binding, Protein Conformation, Reproducibility of Results, Sequence Alignment, Substrate Specificity, Computational Biology, HLA Antigens metabolism
- 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., (Copyright © 2011 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.)
- Published
- 2011
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