Bioinformatics in new generation flavivirus vaccines.
Bioinformatics in new generation flavivirus vaccines.
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DOI：
10.1155/2010/864029
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发表时间：
2010
影响因子：
--
通讯作者：
Osterhaus AD
中科院分区：
文献类型：
--
作者：
Koraka P;Martina BE;Osterhaus AD
黄病毒感染是世界范围内最普遍的节肢动物传播的感染，通常引起严重的疾病，特别是在儿童、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。尽管针对黄热病病毒、日本脑炎病毒和蜱传脑炎病毒的经验性开发的疫苗取得了成功，但越来越需要更合理的设计和开发安全有效的疫苗。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，候选疫苗的总体免疫原性，以及引发的免疫应答的有效性和寿命。介绍并讨论了如何应用生物信息学来协助疫苗（特别是黄病毒疫苗）的合理设计和改进的示例。
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.
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