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- W2950451014 abstract "New generation vaccines are demanded to include only the key antigens sufficient to confer protective immunity among the plethora of pathogen molecules. In the last decade large-scale genomics-based technologies emerged. Among them, the Reverse Vaccinology approach was successfully applied to the development of an innovative vaccine against Meningococcus B, now available in the marked with the commercial name BEXSERO® (Novartis Vaccines). The limiting step of such approaches is the number of antigens to be tested in in vivo models. Several laboratories have been trying to refine the original approach in order to get to the identification of the relevant antigens straight from the genome. Here we report a new bioinformatics tool which moves a first step in this direction. The tool has been developed by identifying structural/functional features recurring in known bacterial protective antigens, the so called ?Protectome space?, and using such ?protective signatures? for protective antigen discovery. In particular, we applied this new approach to Staphylococcus aureus and Group B Streptococcus and we show that not only already known PAs were re-discovered, but also two new protective antigens were identified." @default.
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- W2950451014 date "2014-01-26" @default.
- W2950451014 modified "2023-09-24" @default.
- W2950451014 title "Protectome analysis: a new selective bioinformatics tool for bacterial vaccine candidate discovery" @default.
- W2950451014 doi "https://doi.org/10.1101/002089" @default.
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