Immunoinformatics and the in silico prediction of immunogenicity: an introduction

Darren R. Flower

doi:10.1007/978-1-60327-118-9_1

Immunoinformatics and the in silico prediction of immunogenicity: an introduction

Darren R. Flower

University of Oxford

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

25 Citations (SciVal)

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 language	English
Title of host publication	Immunoinformatics
Subtitle of host publication	predicting immunogenicity in silico
Editors	Darren R. Flower
Place of Publication	Totowa, NJ (US)
Publisher	Humana Press
Pages	1-15
Number of pages	15
ISBN (Electronic)	978-1-60327-118-9
ISBN (Print)	978-1-58829-699-3
DOIs	https://doi.org/10.1007/978-1-60327-118-9_1
Publication status	Published - 16 Jul 2007

Publication series

Name	Methods in molecular biology™
Publisher	Humana Press
Volume	409
ISSN (Print)	1064-3745

Keywords

bioinformatics
cell biology
human genetics
immunology
life sciences

Access to Document

10.1007/978-1-60327-118-9_1

Cite this

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Immunoinformatics and the in silico prediction of immunogenicity: an introduction. / Flower, Darren R.
Immunoinformatics: predicting immunogenicity in silico. ed. / Darren R. Flower. Totowa, NJ (US): Humana Press, 2007. p. 1-15 (Methods in molecular biology™; Vol. 409).

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

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Immunoinformatics and the in silico prediction of immunogenicity: an introduction

Abstract

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Keywords

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Immunoinformatics: predicting immunogenicity in silico

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