Identification of candidate vaccine antigens in silico

Darren R. Flower*, Matthew N. Davies, Irini A. Doytchinova

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The identification of immunogenic whole-protein antigens is fundamental to the successful discovery of candidate subunit vaccines and their rapid, effective, and efficient transformation into clinically useful, commercially successful vaccine formulations. In the wider context of the experimental discovery of vaccine antigens, with particular reference to reverse vaccinology, this chapter adumbrates the principal computational approaches currently deployed in the hunt for novel antigens: genome-level prediction of antigens, antigen identification through the use of protein sequence alignment-based approaches, antigen detection through the use of subcellular location prediction, and the use of alignment-independent approaches to antigen discovery. Reference is also made to the recent emergence of various expert systems for protein antigen identification.

Original languageEnglish
Title of host publicationImmunomic Discovery of Adjuvants and Candidate Subunit Vaccines
PublisherSpringer
Pages39-71
Number of pages33
ISBN (Electronic)9781461450702
ISBN (Print)9781461450696
DOIs
Publication statusPublished - 1 Jan 2013

Publication series

NameImmunomics Reviews
PublisherSpringer
Volume5

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  • Cite this

    Flower, D. R., Davies, M. N., & Doytchinova, I. A. (2013). Identification of candidate vaccine antigens in silico. In Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines (pp. 39-71). (Immunomics Reviews; Vol. 5). Springer. https://doi.org/10.1007/978-1-4614-5070-2_3