Bioinformatics in new generation flavivirus vaccines.
Flavivirus infections are the most prevalent arthropod-borne infections world wide, often causing severe disease especially among children, the elderly, and the immunocompromised. In the absence of effective antiviral treatment, prevention through vaccination would greatly reduce morbidity and mortality associated with flavivirus infections. Despite the success of the empirically developed vaccines against yellow fever virus, Japanese encephalitis virus and tick-borne encephalitis virus, there is an increasing need for a more rational design and development of safe and effective vaccines. Several bioinformatic tools are available to support such rational vaccine design. In doing so, several parameters have to be taken into account, such as safety for the target population, overall immunogenicity of the candidate vaccine, and efficacy and longevity of the immune responses triggered. Examples of how bio-informatics is applied to assist in the rational design and improvements of vaccines, particularly flavivirus vaccines, are presented and discussed.
Koraka
Penelope
P
Department of Virology, Erasmus Medical Centre, 3000 CA Rotterdam, The Netherlands.
Martina
Byron E E
BE
Osterhaus
Albert D M E
AD
D000818:Animals; D019295:Computational Biology / Q000379:methods*; D015195:Drug Design; D005416:Flavivirus; D018177:Flavivirus Infections / Q000276:immunology / Q000517:prevention & control; D006801:Humans; D014765:Viral Vaccines
D014765:Viral Vaccines
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