蛋白质嵌入揭示了水禽parvoviruses中宿主适应的连续分子格局
1Faculty of Science, University of Bern, Bern, Switzerland.
Frontiers in bioinformatics
|February 12, 2026
概括
水禽的帕沃病毒通过微妙的分子变化来适应,而不是通过明显的进化跳跃. 人工智能和生物物理学揭示了帕维病毒 (GPV) 和莫斯科帕维病毒 (MDPV) 之间的持续适应路径.
科学领域:
- 病毒学 病毒学
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 病毒在密切相关的主体之间的适应往往涉及微妙的分子变化.
- 经典的遗传学分析可能错过了这些渐进的进化转变.
研究的目的:
- 为了研究水禽parvoviruses中宿主适应的分子轨迹.
- 将人工智能衍生的蛋白质表示与生物物理机制和病毒感染性联系起来.
主要方法:
- 基于人工智能的VP1序列的蛋白质语言建模.
- 体蛋白质的结构生物物理学和分子建模.
- 在子胚胎,细胞培养和活子中进行感染检测.
主要成果:
- 人工智能蛋白质嵌入揭示了一种连续的分子多样性桥梁类帕维病毒 (GPV) 和莫斯科类帕维病毒 (MDPV).
- 结构建模确定了一个灵活的表面循环 (残留物300-420) 作为一个关键的适应枢纽,经历了结构扩张和静电中和.
- 在各种子模型中,GPV类型的分离物表现出高效的复制和致病性,证实了交叉宿主感染性.
结论:
- 水鸟类的帕尔沃病毒沿着连续的分子电静态景观进化,使得交叉宿主适应.
- 这项研究为理解病毒宿主跳跃作为连续过程和预测未来病毒出现提供了一个框架.
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