Abstract
In this chapter, we review the computational approaches that have led to a new generation of vaccines in recent years. There are many alternative routes to develop vaccines based on the technology of reverse vaccinology. We focus here on bacterial infectious diseases, describing the general workflow from bioinformatic predictions of antigens and epitopes down to examples where such predictions have been used successfully for vaccine development.
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Notes
- 1.
CD8 and CD4 are transmembrane glycoproteins. They function as co-receptors of T cell receptors on the surface of T cells. “CD” is an abbreviation for cluster of differentiation; a superscripted plus or minus sign indicates whether this type of cell actually does or does not express the specific receptor. CTLs do not possess a CD4 receptor, and are therefore unable to bind to the MHC I I -peptide complex. In contrast, T helper cells are unable to bind MHC I as they do not express CD8 receptors on their cell surfaces.
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Michalik, M., Djahanshiri, B., Leo, J.C., Linke, D. (2016). Reverse Vaccinology: The Pathway from Genomes and Epitope Predictions to Tailored Recombinant Vaccines. In: Thomas, S. (eds) Vaccine Design. Methods in Molecular Biology, vol 1403. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3387-7_4
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DOI: https://doi.org/10.1007/978-1-4939-3387-7_4
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