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Book chapter ยท Journal article

Bioinformatics Tools for the Prediction of T-Cell Epitopes

Edited by Walker, John M.

From

Universidad Nacional de San Martin1

Department of Bio and Health Informatics, Technical University of Denmark2

Immunoinformatics and Machine Learning, Department of Bio and Health Informatics, Technical University of Denmark3

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.

Language: English
Publisher: Springer
Year: 2018
Pages: 269-281
Series: Methods in Molecular Biology
ISSN: 10643745 and 19406029
Types: Book chapter and Journal article
DOI: 10.1007/978-1-4939-7841-0_18
ORCIDs: Nielsen, Morten

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