Antigens |
Knowledge on the most effective immune response against a particular pathogen |
Selection of antigens and formulations evoking those responses |
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Antibody epitope database |
Basis for development of computational prediction tools |
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Prediction of sequences that should be excluded due to (i) risk of autoimmune responses, (ii) immune escape by antigenic drift, and (iii) responses to only selected strains or clades of the pathogen |
Design of antigens capable of eliciting potent cross-reactive immune responses with minimal risk for side effects |
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Continuous survey and registration of evolving pathogenic strains and clades |
Improved coverage for selected antigens |
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Investigation of protein/peptide degradation rules for different vaccination routes |
Improved stability of designed antigens |
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Extension of MHC allele–peptide complex databases, especially for MHC class II |
Increased reliability of epitope prediction with already available tools |
Delivery systems |
Advancement of nanotechnologies |
Improved synthetic delivery systems |
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Investigation of mechanisms to overcome preexisting immunity or persistent virus superinfection |
Maximizes potential of live vectors derived from pathogens causing common human chronic infections |
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Understanding the basis for eliciting memory responses |
Design of vaccines triggering long-lasting protection |
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Investigation of the interface between innate and adaptive immunity |
Exploitation of optimal APC targets and intrinsic adjuvant properties of the delivery system |
Adjuvants |
Knowledge on the most effective immune response against a particular pathogen |
Selection of adjuvants facilitating those responses |
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Investigation of vaccination route-dependent adjuvant effects |
Optimized use of adjuvants and vaccine design |
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Elucidation of molecular mechanisms of adjuvanticity |
Optimizes adjuvant use and forecasts potential side effects |
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Investigation of the basis of immune stimulation in different population groups |
Development of personalized vaccines |