Structure-based clustering of major histocompatibility complex (MHC) proteins for broad-based T-cell vaccine design

Joo Chuan Tong*, Tin Wee Tan, Shoba Ranganathan

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)

    Abstract

    Structure-based clustering technique is useful for identifying superfamilies of major histocompatibility complex (MHC) proteins with similar binding specificities. The resolved MHC superfamilies play an important role in vaccine development, from discovering new targets for broad-based vaccines and therapeutics to optimizing the affinity and selectivity of hits. Here, we describe a protocol and provide a summary for grouping MHC proteins according to their structural interaction characteristics.

    Original languageEnglish
    Title of host publicationImmunoinformatics
    EditorsRajat K. De, Namrata Tomar
    Place of PublicationNew York
    PublisherHumana Press
    Pages503-511
    Number of pages9
    Edition2nd
    ISBN (Electronic)9781493911158
    ISBN (Print)9781493911141
    DOIs
    Publication statusPublished - 2014

    Publication series

    NameMethods in Molecular Biology
    Volume1184
    ISSN (Print)1064-3745

    Keywords

    • Bioinformatics
    • Clustering
    • Computer-aided vaccine design
    • Immunoinformatics
    • MHC superfamily
    • Virtual screening

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