通过研究偏差在蛋白质-蛋白质相互作用网络中出现功率定律分布
David B Blumenthal1, Marta Lucchetta2, Linda Kleist3
1Biomedical Network Science Lab, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
eLife
|December 11, 2024
概括
蛋白质与蛋白质相互作用 (PPI) 网络的度分布可能不反映真正的生物学. 实验数据中的偏差,而不是固有的网络结构,可能解释了权力定律分布,挑战了网络生物学假设.
科学领域:
- 网络生物学 网络生物学
- 生物信息学是一种生物信息学.
- 系统生物学 系统生物学
背景情况:
- 蛋白与蛋白相互作用 (PPI) 网络对于理解细胞过程至关重要.
- 在PPI网络中的度分布通常被认为遵循功率定律 (PL).
- 实验偏差,如癌症蛋白焦点和假阳性,可以影响PPI检测.
研究的目的:
- 调查技术和研究偏差是否可以单独解释蛋白质-蛋白质相互作用 (PPI) 网络中观察到的功率定律 (PL) 度分布.
- 挑战在观察到的PPI网络中PL分布反映了真正的生物相互作用的假设.
主要方法:
- 分析了成千上万个控制来源的PPI网络.
- 数学建模以模拟网络属性.
- 进行广泛的模拟来测试偏差的影响.
主要成果:
- 研究和技术偏差足以在观察到的PPI网络中产生权力法 (PL) 度分布.
- 观察到的PL分布并不一定表明真正的生物相互作用体具有固有的拓性质.
- 从当前PPI网络中的PL分布得出的假设可能不可靠.
结论:
- 观察到的PPI网络中的权力定律属性可能是实验偏差的工件.
- 在网络生物学中依赖PL分布进行网络拓推断或质量评估是有问题的.
- 需要重新评估关于生物网络结构和实验数据解释的假设.
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