Olsman Noah, Xiao Fangzhou, Doyle John C
Department of Control and Dynamical Systems, California Institute of Technology, 1200 E. California Boulevard, Pasadena, CA 91125, USA; Department of Systems Biology, Harvard Medical School, 200 Longwood Avenue, Boston, MA 02215, USA.
Division of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Boulevard, Pasadena, CA 91125, USA.
iScience. 2019 Apr 26;14:277-291. doi: 10.1016/j.isci.2019.04.004. Epub 2019 Apr 8.
As we begin to design increasingly complex synthetic biomolecular systems, it is essential to develop rational design methodologies that yield predictable circuit performance. Here we apply mathematical tools from the theory of control and dynamical systems to yield practical insights into the architecture and function of a particular class of biological feedback circuit. Specifically, we show that it is possible to analytically characterize both the operating regime and performance tradeoffs of an antithetic integral feedback circuit architecture. Furthermore, we demonstrate how these principles can be applied to inform the design process of a particular synthetic feedback circuit.
随着我们开始设计日益复杂的合成生物分子系统，开发能够产生可预测电路性能的合理设计方法至关重要。在这里，我们应用控制和动力系统理论中的数学工具，以深入了解一类特定生物反馈电路的架构和功能。具体而言，我们表明可以通过分析来表征反向积分反馈电路架构的工作模式和性能权衡。此外，我们展示了如何应用这些原理为特定合成反馈电路的设计过程提供指导。
