Big Data in Vaccinology: Introduction and section summaries

For the conventional vaccines, correlates of protection can generally be determined by measuring neutralizing antibodies; such antibodies inactivate the toxin, prevent the pathogen from docking to host cells or induce pathogen killing by host effector mechanisms. In absence of well-defined biosignat...

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Bibliographic Details
Published in:Vaccine 2015-09, Vol.33 (40), p.5237-5240
Main Authors: Kaufmann, Stefan H.E, Fletcher, Helen A, Guzmán, Carlos A, Ottenhoff, Tom H.M
Format: Article
Language:English
Subjects:
Allergy and Immunology
Computational Biology
Datasets as Topic
Ehrlich, Paul
Health risks
Humans
Malaria
Pathogens
Statistics as Topic
Studies
Toxins
Tuberculosis
Vaccines
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Summary:For the conventional vaccines, correlates of protection can generally be determined by measuring neutralizing antibodies; such antibodies inactivate the toxin, prevent the pathogen from docking to host cells or induce pathogen killing by host effector mechanisms. In absence of well-defined biosignatures of protection, however, biosignatures which can predict risk of disease after natural infection, or which can assist in correct diagnosis of disease, can provide helpful information. [...]by accumulating biomics data from natural infection and vaccination studies, it is anticipated that large unbiased data sets will help identify correlates of protection and correlates of risk through computational data analysis.
ISSN:0264-410X
1873-2518
DOI:10.1016/j.vaccine.2015.04.078