一个开放的问题:为什么在异步布尔网络中, motif-avoidant 吸引子如此罕见?
Samuel Pastva1,2, Kyu Hyong Park3, Ondřej Huvar4
1Faculty of Informatics, Masaryk University, Botanicka 68a, 60200, Brno, Czech Republic. xpastva@fi.muni.cz.
Journal of mathematical biology
|June 12, 2025
概括
避免动机的吸引子 (MAA) 在生物系统中很少见,但在网络简化后出现. 这些吸引力是脆弱的,容易被线性延伸破坏,并为它们的破坏建立了新的界限.
科学领域:
- 计算生物学 计算生物学
- 系统生物学 系统生物学
- 动态系统理论 动态系统理论
背景情况:
- 布尔网络将生物现象模型作为吸引器,通常与最小的陷空间联系在一起.
- 在最小的陷空间之外存在动机避开吸引器 (MAA),人们对其了解甚少.
- 了解MAA对于准确建模生物系统动态至关重要.
研究的目的:
- 总结关于异步布尔网络中MAA的当前知识.
- 调查在网络缩小和线性扩展下MAA的出现和中断.
- 为MAAs的行为提供新的计算洞察力.
主要方法:
- 分析了14000个生物布尔模型和超过1亿个随机布尔网络.
- 关于节点删除和边缘线性扩展对MAA的影响的计算研究.
- 为破坏MAA提升上限的推导.
主要成果:
- 在生物模型中观察到MAA主要是在应用简化方法后,这表明网络减少在它们的出现中发挥了作用.
- 对于线性扩展,MAA是脆弱的,稀疏的网络具有很高的易感性.
- 一个单一的线性节点可以破坏稀疏网络中的几乎所有MAA.
结论:
- 网络简化在生物模型中MAA的出现中起着关键作用.
- MAA对干扰很敏感,特别是在稀疏网络中的线性延伸.
- 该研究提供了对MAA动态及其破坏的更好理解,完善了理论界限.
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