Computational selection of novel antigenic targets in the Mycobacterium bovis proteome

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Title: Computational selection of novel antigenic targets in the Mycobacterium bovis proteome
Authors: Farrell, Damien
Malone, Kerri M.
Rue-Albrecht, Kévin
Chubb, Anthony J.
Gordon, Stephen V.
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Date: 27-Jun-2014
Abstract: The discovery of novel antigens is an essential requirement in devising new diagnostics for use in both M. tuberculosis (Mtb) and M. bovis control programmes. Reverse vaccinology is now a feasible method of extracting potential immunogenic epitopes from bacterial genomes to reduce the cost of experimental screening of antigens for anamnestic responses in infected hosts. Since a significant focus has been on the role of CD4+ T cells, the ability to predict peptide binding to MHC-II molecules is seen as a key step in discovery.Previous antigen-mining experiments for identification of novel diagnostic or vaccine candidates for human and bovine TB follow a targeted approach, where specific groups of proteins suspected to contain likely candidates are identified and evaluated for  mmunogenicity. A disadvantage of those approaches is that they are restricted to a relatively small set of proteins biased by the initial selection criteria. Our objective was to computationally select antigens in a less biased manner.
Type of material: Conference Publication
Keywords: Tuberculosis
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Language: en
Status of Item: Not peer reviewed
Conference Details: EMBO Conference on Microbiology after the genomics revolution: GENOMES 2014, 24-27 June 2014, Pasteur Institute, Paris, France
Appears in Collections:Conway Institute Research Collection
Veterinary Medicine Research Collection

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