Resumo

YERO CORONA, Daniel. Identifying Vaccine Candidates from the Sequence of a Bacterial Genome. Vaccimonitor [online]. 2006, vol.15, n.1, pp.23-29. ISSN 1025-028X.

Whole genome sequence data are increasingly available for a wide range of human pathogens. The availability of these sequences has changed our approach to vaccine development entirely and introduced a new way of thinking in this process. This approach starts from the genomic sequence and, by computer analysis, predicts those antigens that are most likely to be vaccine candidates. The use of bioinformatic tools allows the comprehensive in silico screening of genome data for surface-expressed proteins, in order to identify candidate vaccine antigens. In vitro confirmation of surface location and the use of animal models to test immunogenicity further refine the list of proteins likely to be of use as vaccine antigens. This process, first applied to serogroup B Neisseria meningitidis, has been termed as reverse vaccinology. Genomics also enables valuable information concerning the biology and virulence of the pathogenic species to be extracted by comparative genomics. In this review, we describe how genomic approaches can be used to identify novel vaccine candidates.

Palavras-chave : Genomics; Vaccines; Bioinformatics; Reverse Vaccinology; Neisseria meningitidis.

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