基于宿主蛋白的哺乳动物病毒跨物种传播的预测
Zheng Zhang1,2, Congyu Lu1, Bocheng Mo2
1Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University , Changsha, Hunan, China.
Microbiology spectrum
|September 27, 2023
概括
这项研究确定了参与病毒跨物种传播的宿主蛋白质,开发了动物性病毒的预测模型. 研究结果揭示了病毒家族特有的宿主因素,有助于早期检测和预防新出现的传染病.
科学领域:
- 病毒学 病毒学
- 传染性疾病 传染性疾病
- 宿主-病原体相互作用
- 生物信息学是一种生物信息学.
背景情况:
- 新出现的病毒经常来自哺乳动物的储存库,构成重大公共卫生风险.
- 了解病毒跨物种传播机制对于预防和控制新型病毒爆发至关重要.
- 在出现之前识别潜在的动物传播病毒是全球卫生安全的关键挑战.
研究的目的:
- 系统地研究与哺乳动物病毒跨物种传播相关的宿主蛋白质.
- 开发和评估机器学习模型,用于预测哺乳动物病毒的动物感染潜力.
- 评估病毒受体在预测跨物种传播事件中的作用.
主要方法:
- 分析了1271个病毒-哺乳动物相互作用对,包括382种病毒和73种哺乳动物.
- 鉴定涉及不同病毒家族跨物种传播的宿主蛋白质.
- 开发随机森林 (RF) 模型,利用已识别的宿主蛋白来预测传播潜力.
主要成果:
- 许多宿主蛋白被确定为哺乳动物病毒跨物种传播的贡献者.
- 发现宿主蛋白的关联在很大程度上是针对病毒家族的特异性,并有有限的重叠.
- 对于特定的病毒家族,RF模型实现了高预测性能 (AUC>0.8),尽管整体性能中等.
- 病毒受体在预测跨物种传播潜力方面发挥的作用很小.
结论:
- 主体蛋白质在哺乳动物病毒跨物种传播中发挥着关键的,家族特异性的作用.
- 基于宿主因素的机器学习模型提供了一个有希望的框架来预测动物性病毒的出现.
- 这项研究增强了对病毒溢出机制的理解,并为主动疾病控制提供了工具.
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