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The promise of reverse vaccinology

The promise of reverse vaccinology
The promise of reverse vaccinology
Reverse vaccinology (RV) is a computational approach that aims to identify putative vaccine candidates in the protein coding genome (proteome) of pathogens. RV has primarily been applied to bacterial pathogens to identify proteins that can be formulated into subunit vaccines, which consist of one or more protein antigens. An RV approach based on a filtering method has already been used to construct a subunit vaccine against Neisseria meningitidis serogroup B that is now registered in several countries (Bexsero). Recently, machine learning methods have been used to improve the ability of RV approaches to identify vaccine candidates. Further improvements related to the incorporation of epitope-binding annotation and gene expression data are discussed. In the future, it is envisaged that RV approaches will facilitate rapid vaccine design with less reliance on conventional animal testing and clinical trials in order to curb the threat of antibiotic resistance or newly emerged outbreaks of bacterial origin.
bacterial pathogen, epidemic, reverse vaccinology, subunit vaccine
1876-3413
85-89
Heinson, Ashley
822775d1-9379-4bde-99c3-3c031c3100fb
Woelk, Christopher H
4d3af0fd-658f-4626-b3b5-49a6192bcf7d
Newell, Marie-Louise
c6ff99dd-c23b-4fef-a846-a221fe2522b3
Heinson, Ashley
822775d1-9379-4bde-99c3-3c031c3100fb
Woelk, Christopher H
4d3af0fd-658f-4626-b3b5-49a6192bcf7d
Newell, Marie-Louise
c6ff99dd-c23b-4fef-a846-a221fe2522b3

Heinson, Ashley, Woelk, Christopher H and Newell, Marie-Louise (2015) The promise of reverse vaccinology. International Health, 7 (2), 85-89. (doi:10.1093/inthealth/ihv002). (PMID:25733557)

Record type: Review

Abstract

Reverse vaccinology (RV) is a computational approach that aims to identify putative vaccine candidates in the protein coding genome (proteome) of pathogens. RV has primarily been applied to bacterial pathogens to identify proteins that can be formulated into subunit vaccines, which consist of one or more protein antigens. An RV approach based on a filtering method has already been used to construct a subunit vaccine against Neisseria meningitidis serogroup B that is now registered in several countries (Bexsero). Recently, machine learning methods have been used to improve the ability of RV approaches to identify vaccine candidates. Further improvements related to the incorporation of epitope-binding annotation and gene expression data are discussed. In the future, it is envisaged that RV approaches will facilitate rapid vaccine design with less reliance on conventional animal testing and clinical trials in order to curb the threat of antibiotic resistance or newly emerged outbreaks of bacterial origin.

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More information

Accepted/In Press date: 7 January 2015
e-pub ahead of print date: 26 February 2015
Published date: 1 March 2015
Keywords: bacterial pathogen, epidemic, reverse vaccinology, subunit vaccine
Organisations: Clinical & Experimental Sciences

Identifiers

Local EPrints ID: 379213
URI: http://eprints.soton.ac.uk/id/eprint/379213
ISSN: 1876-3413
PURE UUID: 61975551-b231-41a2-b0d8-66cdb57403b3
ORCID for Marie-Louise Newell: ORCID iD orcid.org/0000-0002-1074-7699

Catalogue record

Date deposited: 18 Jul 2015 15:02
Last modified: 21 Nov 2021 03:09

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Contributors

Author: Ashley Heinson
Author: Christopher H Woelk

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