复杂的生物网络的吸引-过渡控制:一种恒定控制方法
IEEE transactions on cybernetics
|October 23, 2024
概括
本研究介绍了一种新的布尔网络 (BN) 控制方法,用于在吸引器之间引导生物系统. 该方法使用布尔代数和反顶集来有效地稳定状态变量.
科学领域:
- 系统生物学 系统生物学
- 计算生物学 计算生物学
- 网络科学 网络科学
背景情况:
- 复杂的生物网络通常被建模为布尔网络 (BNs).
- 控制这些网络的动态,特别是稳定状态 (吸引力) 之间的过渡,对于理解和操纵生物功能至关重要.
- 现有的方法可能缺乏处理不同类型的吸引器的多功能性,或者需要大量的计算资源.
研究的目的:
- 开发一个强大的和多功能控制策略吸引器转换在布尔网络.
- 为了引导BN从初始吸引器到所需的目标吸引器.
- 为生物网络控制提供一个计算效率高和可重复的方法.
主要方法:
- 利用状态过渡方程的布尔代数属性进行吸引力分析.
- 采用坐标转换来简化网络动态和识别自我稳定变量.
- 应用反顶集 (FVS) 控制方案来确定非稳定变量的控制输入.
- 在随机BN和复杂的生物系统模型上验证方法.
主要成果:
- 成功演示了BN的吸引子转换控制,引导它们从最初的吸引子到所需的吸引子.
- 识别了不需要外部控制的自我稳定状态变量.
- 开发了适用于固定点和循环吸引器的控制策略.
- 通过对各种网络模型进行广泛的数值实验来验证有效性.
结论:
- 拟议的吸引器转换控制方法对布尔网络是有效和多功能.
- 布尔代数和FVS的整合为生物网络工程提供了一个强大的方法.
- 该方法促进了可复制的研究,公开可用的代码和详细的结果.
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