Hard Limits and Performance Tradeoffs in a Class of Antithetic Integral Feedback Networks

被引：42

作者：

Olsman, Noah ^{[1
,2
]}

Baetica, Ania-Ariadna ^{[1
,3
]}

Xiao, Fangzhou ^{[4
]}

Leong, Yoke Peng ^{[1
]}

Murray, Richard M. ^{[1
,4
]}

Doyle, John C. ^{[4
]}

机构：

[1] CALTECH, Dept Control & Dynam Syst, 1200 E, Pasadena, CA 91125 USA

[2] Harvard Med Sch, Dept Syst Biol, Boston, MA 02215 USA

[3] Univ Calif San Francisco, Dept Biochem & Biophys, Box 2542, San Francisco, CA 94158 USA

[4] CALTECH, Div Biol & Biol Engn, 1200 E, Pasadena, CA 91125 USA

来源：

CELL SYSTEMS | 2019年 / 9卷 / 01期

关键词：

PROGRAMMED POPULATION-CONTROL; ROBUST PERFECT ADAPTATION; FOLD-CHANGE; DYNAMICS; GENE; DECOMPOSITION; TOPOLOGIES; SYSTEM; LEVEL; EGF;

D O I：

10.1016/j.cels.2019.06.001

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Feedback regulation is pervasive in biology at both the organismal and cellular level. In this article, we explore the properties of a particular biomolecular feedback mechanism called antithetic integral feedback, which can be implemented using the binding of two molecules. Our work develops an analytic framework for understanding the hard limits, performance tradeoffs, and architectural properties of this simple model of biological feedback control. Using tools from control theory, we show that there are simple parametric relationships that determine both the stability and the performance of these systems in terms of speed, robustness, steady-state error, and leakiness. These findings yield a holistic understanding of the behavior of antithetic integral feedback and contribute to a more general theory of biological control systems.

引用

页码：49 / +

页数：31

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