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强电流对慢调制的响应:代谢案例研究。

Strong current response to slow modulation: A metabolic case-study.

机构信息

Complex Systems and Statistical Mechanics, Department of Physics and Materials Science, University of Luxembourg, Luxembourg City L-1511, Luxembourg.

出版信息

J Chem Phys. 2020 Apr 7;152(13):134101. doi: 10.1063/1.5143197.

Abstract

We study the current response to periodic driving of a crucial biochemical reaction network, namely, substrate inhibition. We focus on the conversion rate of substrate into product under time-varying metabolic conditions, modeled by a periodic modulation of the product concentration. We find that the system exhibits a strong nonlinear response to small driving frequencies both for the mean time-averaged current and for the fluctuations. For the first, we obtain an analytic formula by coarse-graining the original model to a solvable one. The result is nonperturbative in the modulation amplitude and frequency. We then refine the picture by studying the stochastic dynamics of the full system using a large deviation approach that allows us to show the resonant effect at the level of the time-averaged variance and signal-to-noise ratio. Finally, we discuss how this nonequilibrium effect may play a role in metabolic and synthetic networks.

摘要

我们研究了关键生化反应网络(即基质抑制)在周期性驱动下的当前响应。我们关注的是在时变代谢条件下,通过产物浓度的周期性调制来模拟底物转化为产物的转化率。我们发现,无论是对于平均电流还是波动,系统对小的驱动频率都表现出强烈的非线性响应。对于前者,我们通过将原始模型粗粒化为可解模型来获得解析公式。该结果在调制幅度和频率上是非微扰的。然后,我们通过使用大偏差方法研究全系统的随机动力学来细化图像,该方法允许我们在平均方差和信噪比的水平上显示共振效应。最后,我们讨论了这种非平衡效应如何在代谢和合成网络中发挥作用。

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