ActivePPI:用马尔科夫随机场量化蛋白质与蛋白质相互作用网络活动
Chuanyuan Wang1, Shiyu Xu1, Duanchen Sun2
1Department of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, Shandong 250061, China.
Bioinformatics (Oxford, England)
|September 12, 2023
概括
ActivePPI通过测量网络结构和蛋白质丰度数据之间的一致性来量化蛋白质与蛋白质相互作用网络 (PPIN) 活动. 这个框架揭示了蛋白质相互作用在细胞过程中的功能意义.
科学领域:
- 系统生物学 系统生物学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 蛋白与蛋白相互作用 (PPI) 形成了细胞功能必不可少的生物分子网络.
- 现有的PPI数据库缺乏关于特定细胞条件和表型的上下文.
- 了解不同环境中的PPI活动对于破译细胞机制至关重要.
研究的目的:
- 开发一个计算框架,ActivePPI,用于评估蛋白质-蛋白质相互作用网络 (PPIN) 活动.
- 在各种细胞条件下量化PPIN架构和蛋白质测量数据之间的一致性.
主要方法:
- 使用质谱数据,ActivePPI估计了蛋白质丰度概率密度.
- 一种基于马尔科夫随机场的方法建模了PPIN.
- 非参数变换测试推导经验P值来评估统计学意义.
主要成果:
- ActivePPI有效地测量了PPIN和蜂环境之间的协议.
- 该框架可实现网络活动评估,路径评估和网络优化.
- 在广泛的数值实验中表现出卓越的性能.
结论:
- ActivePPI是一个多功能工具,用于评估PPIN并揭示蛋白相互作用的功能意义.
- 通过将网络活动与生物过程联系起来,提供对生理现象的洞察.
- 有助于更深入地了解PPI在特定细胞环境中的功能.
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