Prospectively characterizing the functional and antigenic effects of mutations to viral entry proteins

前瞻性地表征病毒进入蛋白突变的功能和抗原效应

• 批准号: 10593369
• 负责人: Jesse D Bloom
• 金额: $ 34.36万
• 依托单位: FRED HUTCHINSON CANCER CENTER
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-24 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10593369
• 关键词: Prospectively; characterizing; functional; antigenic; effects

Viruses pose a constant threat to human health in substantial part because of the evolution of their entry proteins. This evolution can enable viruses to infect new species (including humans), and to evade antibody-based immunity. We will integrate approaches from genomics, computation, and virology to develop a general platform to prospectively characterize how mutations to a virus's entry protein affect its ability to infect cells and resist neutralization by antibodies. This platform can be used to study the entry proteins of an extremely wide range of viruses. We will use it to characterize the effects of all amino-acid mutations to the entry proteins from four important emerging viruses: Ebola virus, MERS coronavirus, Lassa virus, and Nipah virus. We will comprehensively identify mutations that affect the ability of these viruses to infect cells from relevant host species, and use the results to inform algorithms that assess a virus's host adaptation from sequence. We will also develop algorithms that leverage the platform to quantify how all mutations to a viral entry protein affect its susceptibility to antibody-based immunity. Overall, this work develops a powerful and general method to prospectively characterize the implications of viral mutations.

病毒对人类健康构成持续的威胁，在很大程度上是因为 它们的入口蛋白的进化。这种进化可以使病毒感染新的物种 （包括人类），并逃避基于抗体的免疫。我们将整合 从基因组学，计算和病毒学的方法来开发一个通用平台， 描述病毒进入蛋白的突变如何影响其感染能力 细胞并抵抗抗体的中和。该平台可用于研究 各种病毒的入口蛋白。我们将用它来描述 四种重要的新兴病毒的入口蛋白的所有氨基酸突变： 埃博拉病毒、MERS冠状病毒、拉沙病毒和尼帕病毒。我们将全面识别 影响这些病毒感染相关宿主种属细胞能力的突变，以及 利用这些结果为算法提供信息，从而根据序列评估病毒的宿主适应性。我们 我们还将开发算法，利用该平台来量化所有突变是如何产生的。 病毒进入蛋白影响其对基于抗体的免疫的易感性。总的来说，这项工作 开发了一种强大的通用方法来前瞻性地表征病毒的影响， 突变。