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dc.contributor.authorMayers, Carlen_GB
dc.contributor.authorDuffield, Melanieen_GB
dc.contributor.authorRowe, Sonyaen_GB
dc.contributor.authorMiller, Julieen_GB
dc.contributor.authorLingard, Bryanen_GB
dc.contributor.authorHayward, Sarahen_GB
dc.contributor.authorTitball, Richard W.en_GB
dc.contributor.departmentUniversity of Exeter (at the time of publication Richard Titball was at the Defence, Science and Technology Laboratory, Salisbury, UK); Defence, Science and Technology Laboratoryen_GB
dc.date.accessioned2009-01-08T16:35:31Zen_GB
dc.date.accessioned2011-01-25T11:46:56Zen_GB
dc.date.accessioned2013-03-20T14:48:05Z
dc.date.issued2003en_GB
dc.description.abstractMany vaccines have been developed from live attenuated forms of bacterial pathogens or from killed bacterial cells. However, an increased awareness of the potential for transient side-effects following vaccination has prompted an increased emphasis on the use of sub-unit vaccines, rather than those based on whole bacterial cells. The identification of vaccine sub-units is often a lengthy process and bioinformatics approaches have recently been used to identify candidate protein vaccine antigens. Such methods ultimately offer the promise of a more rapid advance towards preclinical studies with vaccines. We have compared the properties of known bacterial vaccine antigens against randomly selected proteins and identified differences in the make-up of these two groups. A computer algorithm that exploits these differences allows the identification of potential vaccine antigen candidates from pathogenic bacteria on the basis of their amino acid composition, a property inherently associated with sub-cellular location.en_GB
dc.identifier.citation4 (5), pp. 468-478en_GB
dc.identifier.doi10.1002/cfg.319en_GB
dc.identifier.urihttp://hdl.handle.net/10036/47200en_GB
dc.language.isoenen_GB
dc.publisherHindawi Publishing Corporationen_GB
dc.relation.urlhttp://dx.doi.org/10.1002/cfg.319en_GB
dc.subjectvaccine designen_GB
dc.subjectvaccine antigensen_GB
dc.subjectgenome sequenceen_GB
dc.titleAnalysis of known bacterial protein vaccine antigens reveals biased physical properties and amino acid compositionen_GB
dc.typeArticleen_GB
dc.date.available2009-01-08T16:35:31Zen_GB
dc.date.available2011-01-25T11:46:56Zen_GB
dc.date.available2013-03-20T14:48:05Z
dc.identifier.issn1531-6912en_GB
dc.identifier.issn1532-6268en_GB
dc.descriptionCopyright © 2003 John Wiley & Sons, Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.identifier.journalComparative and Functional Genomicsen_GB


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