Bioinformatics Tools for the Prediction of T-Cell Epitopes

Massimo Andreatta, Morten Nielsen

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    Abstract

    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.
    Original languageEnglish
    Title of host publicationMethods in Molecular Biology
    EditorsJohn M. Walker
    Number of pages13
    Volume1785
    PublisherSpringer
    Publication date2018
    Pages269-281
    Chapter18
    DOIs
    Publication statusPublished - 2018
    SeriesMethods in Molecular Biology
    ISSN1064-3745

    Keywords

    • Artificial neural networks
    • MHC binding
    • Prediction server
    • T-cell epitopes

    Cite this

    Andreatta, M., & Nielsen, M. (2018). Bioinformatics Tools for the Prediction of T-Cell Epitopes. In J. M. Walker (Ed.), Methods in Molecular Biology (Vol. 1785, pp. 269-281). Springer. Methods in Molecular Biology https://doi.org/10.1007/978-1-4939-7841-0_18