Koraka Penelope, Martina Byron E E, Osterhaus Albert D M E
Department of Virology, Erasmus Medical Centre, 3000 CA Rotterdam, The Netherlands.
J Biomed Biotechnol. 2010;2010:864029. doi: 10.1155/2010/864029. Epub 2010 May 10.
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.
黄病毒感染是全球最普遍的节肢动物传播感染,常导致严重疾病,尤其是在儿童、老年人和免疫功能低下者中。在缺乏有效抗病毒治疗的情况下,通过接种疫苗进行预防将大大降低与黄病毒感染相关的发病率和死亡率。尽管经验性开发的针对黄热病病毒、日本脑炎病毒和蜱传脑炎病毒的疫苗取得了成功,但对更合理地设计和开发安全有效的疫苗的需求日益增加。有几种生物信息学工具可用于支持这种合理的疫苗设计。在这样做时,必须考虑几个参数,例如目标人群的安全性、候选疫苗的整体免疫原性以及触发的免疫反应的效力和持久性。本文展示并讨论了生物信息学如何应用于协助合理设计和改进疫苗,特别是黄病毒疫苗的实例。