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埃默里大学的巴里·普乐德兰(Bali Pulendran)和德米特里·卡兹敏(Dmitri Kazmin)利用系统生物学来寻找抗体反应的“分子标签”借助于大数据,可以完善疫苗的设计方法。免疫接种常被看作是药物研发领域最伟大的成就之一。然而,它起作用的原理却一直未被完全阐明。例如,人类发明的效果最好的疫苗之一——用来预防黄热病的YF-17D,一次接种就可以提供长达数十年的保护,迄今其作用机理仍真相不明。巴里·普乐德兰(Bali Pulendran)是埃默里大学的一名免疫学家,对此他评论说:“我们知道它有效,但我们不知道它为何有效。”
Bali Pulendran and Dmitri Kazmin of Emory University use systematic biology to find “molecular tags” for antibody responses that can be refined with big data Vaccine design method. Immunization is often seen as one of the greatest achievements in drug development. However, the principle of its functioning has not been fully elucidated. For example, YF-17D, one of the most effective human vaccines invented to prevent yellow fever, can provide decades of protection from a single inoculation and its mechanism of action remains unknown to date. Bali Pulendran, an immunologist at Emory University, commented: “We know it works, but we do not know why it works. ”