Bioinformatics Tools for the Prediction of T-Cell Epitopes.
Andreatta, M. and Nielsen, M.
Instituto de Investigaciones Biotecnologicas, Universidad de San Martin, Buenos Aires, CP, Argentina.
Instituto de Investigaciones Biotecnologicas, Universidad de San Martin, Buenos Aires, CP, Argentina. mniel@cbs.dtu.dk.
Department of Bio and Health Informatics, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, DK, Denmark. mniel@cbs.dtu.dk.
T-cell responses are activated by specific peptides, called epitopes, presented on the cell surface by MHC molecules. Binding of peptides to the MHC is the most selective step in T-cell antigen presentation and therefore an essential factor in the selection of potential epitopes. Several in-vitro methods have been developed for the determination of peptide binding to MHC molecules, but these are all costly and time-consuming. In consequence, significant effort has been dedicated to the development of in-silico methods to model this event. Here, we describe two such tools, NetMHCcons and NetMHCIIpan, for the prediction of peptide binding to MHC class I and class II molecules, respectively, involved in the activation pathways of CD8+ and CD4+ T cells.
Methods in Molecular Biology 1785: 269-281 (2018)