在PPI网络中的弹性和进化见解:对节点弹性和中心性指标的比较分析
1School of Artificial Intelligence and Information Engineering, Yichun University, Yichun, China.
Frontiers in genetics
|January 22, 2026
概括
细菌蛋白质-蛋白质相互作用网络表现出双相弹性,在关键节点失败值后崩. 新的节点弹性指数 (NR) 与其他指标不同,与中间中心性有很强的相关性.
科学领域:
- 系统生物学 系统生物学
- 网络科学 网络科学
- 生物信息学是一种生物信息学.
背景情况:
- 蛋白与蛋白相互作用 (PPI) 网络对于理解细胞功能和信号传导至关重要.
- 传统的网络措施,如中心性指数,无法捕捉节点故障和级联效应的动态反应.
研究的目的:
- 使用系统生物学方法对细菌PPI网络弹性进行定量分析.
- 开发和验证一个新的节点弹性 (NR) 指数,用于评估网络在干扰下的稳定性.
主要方法:
- 在SNAP的细菌PPI网络上使用渐进节点移除策略模拟级联失败.
- 通过单节点淘汰实验和网络碎片化指标量化局部干扰效应.
- 开发了一个多维框架,以将NR指数与经典的中心性指标 (度数,中间度,接近度, Eigenvector) 相关联.
主要成果:
- 细菌PPI网络表现出双相弹性退化:逐渐衰变,随后加速崩超过关键值.
- 节点弹性 (NR) 指数与中间中心性 (BC) 呈现出强烈的负相关性,表明BC节点对模块完整性至关重要.
- 度中心性 (DC),近距离中心性 (CC) 和 Eigenvector 中心性 (EC) 与 NR 的关联较弱,突出显示它们在预测级联失败方面的能力有限.
结论:
- 在PPI网络中的模块化架构提供了弹性,但易受模块间桥梁耗尽的影响.
- 与静态中心性指标相比,NR指数提供了一个更具动态性和生物相关性的网络弹性衡量标准.
- 了解网络弹性是解读细胞强度和预测系统级对干扰反应的关键.
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