Biomolecular mechanisms for signal differentiation.
Biomolecular mechanisms for signal differentiation.
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DOI：
10.1016/j.isci.2021.103462
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发表时间：
2021-12-17
期刊：
影响因子：
5.8
通讯作者：
Papachristodoulou A
中科院分区：
文献类型：
--
作者：
Alexis E;Schulte CCM;Cardelli L;Papachristodoulou A
细胞可以感知分子信号的时间变化，使它们能够预测环境变化并调节它们的行为。本文阐明了时间导数计算的生物分子机制，促进了可靠的合成微分器设备的设计，用于各种应用，最终扩大我们对细胞行为的理解。特别是，我们描述和分析三种替代的生物分子拓扑结构，能够作为信号微分器输入信号周围的标称操作。我们提出的策略，以保持其性能，即使在存在的高频输入信号成分，这是有害的性能，大多数微分器。我们发现，所提出的拓扑结构的核心出现在自然的监管网络，我们进一步讨论其生物相关性。我们设计的简单结构使它们成为在合成生物学中实现衍生控制作用的有前途的工具。计算分子信号的速度或更高导数一直是一个挑战生物分子拓扑结构作为信号微分器的研究可以实现高性能和对高频输入信号的不敏感性描述了信号微分的自然电路和合成实现数学生物科学;系统生物学;合成生物学
Cells can sense temporal changes of molecular signals, allowing them to predict environmental variations and modulate their behavior. This paper elucidates biomolecular mechanisms of time derivative computation, facilitating the design of reliable synthetic differentiator devices for a variety of applications, ultimately expanding our understanding of cell behavior. In particular, we describe and analyze three alternative biomolecular topologies that are able to work as signal differentiators to input signals around their nominal operation. We propose strategies to preserve their performance even in the presence of high-frequency input signal components which are detrimental to the performance of most differentiators. We find that the core of the proposed topologies appears in natural regulatory networks and we further discuss their biological relevance. The simple structure of our designs makes them promising tools for realizing derivative control action in synthetic biology. Calculating the speed or higher derivatives of molecular signals has been a challenge Biomolecular topologies acting as signal differentiators are studied High performance and insensitivity to high-frequency input signals can be achieved Natural circuits and synthetic realizations for signal differentiation are described Mathematical biosciences; Systems biology; Synthetic biology
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