Physical Constraints on Biological Integral Control Design for Homeostasis and Sensory Adaptation
Physical Constraints on Biological Integral Control Design for Homeostasis and Sensory Adaptation
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DOI：
10.1016/j.bpj.2012.12.015
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发表时间：
2013-01-22
影响因子：
3.4
通讯作者：
McMillen, David R.
中科院分区：
文献类型：
--
作者：
Ang, Jordan;McMillen, David R.
合成生物学包括努力使用基于设计的方法来创造新的控制器，旨在调节其他生物过程输出的生物系统。这种控制器的设计可以由控制理论的结果来指导，包括积分反馈控制策略，这是调节、感觉适应和长期鲁棒性的核心。在合成网络中实现积分控制是一个很有吸引力的前景，但生化网络的性质使得即使是基本控制结构的实现也具有挑战性。在这里，我们提出了一般的挑战和重要的限制，将出现在工程生物积分反馈控制器或分析现有的自然系统的努力的研究。约束来自于需要识别过程加控制器组合系统可以达到的目标输出值，并确保控制器实现积分反馈控制的良好近似。这些约束依赖于对生物成分中投入产出关系形状的温和假设，因此将适用于各种生化系统。我们将结果总结为一组变量约束，旨在为工作生物积分反馈控制器的设计或分析提供指导。
Synthetic biology includes an effort to use design-based approaches to create novel controllers, biological systems aimed at regulating the output of other biological processes. The design of such controllers can be guided by results from control theory, including the strategy of integral feedback control, which is central to regulation, sensory adaptation, and long-term robustness. Realization of integral control in a synthetic network is an attractive prospect, but the nature of biochemical networks can make the implementation of even basic control structures challenging. Here we present a study of the general challenges and important constraints that will arise in efforts to engineer biological integral feedback controllers or to analyze existing natural systems. Constraints arise from the need to identify target output values that the combined process-plus-controller system can reach, and to ensure that the controller implements a good approximation of integral feedback control. These constraints depend on mild assumptions about the shape of input-output relationships in the biological components, and thus will apply to a variety of biochemical systems. We summarize our results as a set of variable constraints intended to provide guidance for the design or analysis of a working biological integral feedback controller.