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Cold Spring Harbor Perspectives in Medicine
Article . 2013 . Peer-reviewed
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Vaccines, Reverse Vaccinology, and Bacterial Pathogenesis

Authors: Delany, Isabel; Rappuoli, Rino; Seib, Kate L;

Vaccines, Reverse Vaccinology, and Bacterial Pathogenesis

Abstract

Advances in genomics and innovative strategies such as reverse vaccinology have changed the concepts and approaches to vaccine candidate selection and design. Genome mining and blind selection of novel antigens provide a novel route to investigate the mechanisms that underpin pathogenesis. The resulting lists of novel candidates are revealing new aspects of pathogenesis of target organisms, which in turn drives the rational design of optimal vaccine antigens. Here we use the discovery, characterization, and exploitation of fHbp, a vaccine candidate and key virulence factor of meningococcus, as an illustrative case in point. Applying genomic approaches to study both the pathogen and host will ultimately increase our fundamental understanding of pathogen biology, mechanisms responsible for the development of protective immunity, and guide next-generation vaccine design.

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Keywords

Antigens, Bacterial, Meningococcal Vaccines, Genomics, Medical microbiology, Neisseria meningitidis, Infectious agents, Polymorphism, Single Nucleotide, Bacterial Typing Techniques, Meningococcal Infections, Disease Models, Animal, Bacterial Proteins, Medical physiology, Drug Design, Medical biochemistry and metabolomics, Animals, Humans, Genetic Predisposition to Disease, Genome, Bacterial, Forecasting

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    141
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
141
Top 1%
Top 10%
Top 10%
bronze