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设计对偶反馈基序的指南。

Guidelines for designing the antithetic feedback motif.

机构信息

Department of Biochemistry and Biophysics, University of California San Francisco, 600 16th Street, Box 2542, San Francisco, CA 94158, United States of America.

Department of Control and Dynamical Systems, California Institute of Technology, 1200 E. California Blvd, Pasadena, CA 91125, United States of America.

出版信息

Phys Biol. 2020 Aug 10;17(5):055002. doi: 10.1088/1478-3975/ab8454.

Abstract

Integral feedback control is commonly used in mechanical and electrical systems to achieve zero steady-state error following an external disturbance. Equivalently, in biological systems, a property known as robust perfect adaptation guarantees robustness to environmental perturbations and return to the pre-disturbance state. Previously, Briat et al proposed a biomolecular design for integral feedback control (robust perfect adaptation) called the antithetic feedback motif. The antithetic feedback controller uses the sequestration binding reaction of two biochemical species to record the integral of the error between the current and the desired output of the network it controls. The antithetic feedback motif has been successfully built using synthetic components in vivo in Escherichia coli and Saccharomyces cerevisiae cells. However, these previous synthetic implementations of antithetic feedback have not produced perfect integral feedback control due to the degradation and dilution of the two controller species. Furthermore, previous theoretical results have cautioned that integral control can only be achieved under stability conditions that not all antithetic feedback motifs necessarily fulfill. In this paper, we study how to design antithetic feedback motifs that simultaneously achieve good stability and small steady-state error properties, even as the controller species are degraded and diluted. We provide simple tuning guidelines to achieve flexible and practical synthetic biological implementations of antithetic feedback control. We use several tools and metrics from control theory to design antithetic feedback networks, paving the path for the systematic design of synthetic biological controllers.

摘要

积分反馈控制在机电系统中被广泛应用于实现对外界干扰的零稳态误差。等效地,在生物系统中,一种被称为鲁棒完美适应的特性保证了对环境波动的鲁棒性,并使其恢复到干扰前的状态。此前,Briat 等人提出了一种称为对偶反馈模体(antithetic feedback motif)的生物分子设计用于积分反馈控制(鲁棒完美适应)。对偶反馈控制器使用两种生化物质的隔离结合反应来记录它所控制的网络的当前输出与期望输出之间的误差的积分。对偶反馈模体已经在体内使用合成组件在大肠杆菌和酿酒酵母细胞中成功构建。然而,由于两种控制器物质的降解和稀释,这些之前的对偶反馈的合成实现并没有产生完美的积分反馈控制。此外,之前的理论结果警告说,只有在不是所有对偶反馈模体都满足的稳定性条件下才能实现积分控制。在本文中,我们研究了如何设计对偶反馈模体,即使在控制器物质降解和稀释的情况下,也能同时实现良好的稳定性和小的稳态误差特性。我们提供了简单的调整指南,以实现对偶反馈控制的灵活且实用的合成生物学实现。我们使用控制理论中的几个工具和指标来设计对偶反馈网络,为合成生物学控制器的系统设计铺平了道路。

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