Immunoinformatics and the in silico prediction of immunogenicity: an introduction

Darren R. Flower

Research output: Chapter in Book/Published conference outputChapter (peer-reviewed)peer-review

Abstract

Immunoinformatics is the application of informatics techniques to molecules of the immune system. One of its principal goals is the effective prediction of immunogenicity, be that at the level of epitope, subunit vaccine, or attenuated pathogen. Immunogenicity is the ability of a pathogen or component thereof to induce a specific immune response when first exposed to surveillance by the immune system, whereas antigenicity is the capacity for recognition by the extant machinery of the adaptive immune response in a recall response. In thisbook, we introduce these subjects and explore the current state of play in immunoinformatics and the in silico prediction of immunogenicity.
Original languageEnglish
Title of host publicationImmunoinformatics
Subtitle of host publicationpredicting immunogenicity in silico
EditorsDarren R. Flower
Place of PublicationTotowa, NJ (US)
PublisherHumana Press
Pages1-15
Number of pages15
ISBN (Electronic)978-1-60327-118-9
ISBN (Print)978-1-58829-699-3
DOIs
Publication statusPublished - 16 Jul 2007

Publication series

NameMethods in molecular biology™
PublisherHumana Press
Volume409
ISSN (Print)1064-3745

Keywords

  • bioinformatics
  • cell biology
  • human genetics
  • immunology
  • life sciences

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  • Immunoinformatics: predicting immunogenicity in silico

    Flower, D. R. (Editor), 16 Jul 2007, Totowa, NJ (US): Humana Press. 438 p. (Methods in molecular biology; vol. 409)

    Research output: Book/ReportEdited Book

  • In silico prediction of peptide-MHC binding affinity using SVRMHC

    Liu, W., Wan, J., Meng, X., Flower, D. R. & Li, T., 16 Jul 2007, Immunoinformatics: predicting Immunogenicity in silico. Flowers, D. R. (ed.). Totowa, NJ (US): Humana Press, p. 283-291 9 p. (Methods in molecular biology™; vol. 409).

    Research output: Chapter in Book/Published conference outputChapter (peer-reviewed)peer-review

  • Molecular dynamics simulations: bring biomolecular structures alive on a computer

    Wan, S., Coveney, P. V. & Flower, D. R., 16 Jul 2007, Immunoinformatics: predicting immunogenicity in silico. Flowers, D. R. (ed.). Totowa, NJ (US): Humana Press, p. 321-339 19 p. (Methods in molecular biology™; vol. 409).

    Research output: Chapter in Book/Published conference outputChapter (peer-reviewed)peer-review

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