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A crosstalk-based linear filter in biochemical signal transduction pathways for the internet of bio-things

机译:用于生物物联网的生化信号传导途径中基于串扰的线性滤波器

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Novel emerging tools are allowing the manipulation and control of biological cells and their functions, e.g., sensing, actuation, and communication through biochemical stimuli. These tools have the potential to enable the implementation of manmade networks of biological computing devices, i.e., Internet of Bio-things. In this work, signal transduction pathways, i.e., cells' chemical reactions that process biochemical signals, are proposed for the design of analog linear filters to be utilized as components in the Internet of Bio-things. These filters, which exploit the crosstalk of signal transduction pathways to achieve the desired response, are here modeled and analyzed. The relations between filter properties and biochemical parameters are presented with the goal of designing a notch filter. A preliminary numerical example is also given as proof-of-concept.
机译:新型的新兴工具允许对生物细胞及其功能的操纵和控制,例如通过生化刺激进行感测,致动和通信。这些工具具有实现生物计算设备的人造网络,即生物物联网的潜力。在这项工作中,提出了信号转导途径,即处理生化信号的细胞化学反应,用于设计模拟线性滤波器,以用作生物物联网中的组件。这些滤波器利用信号传导途径的串扰来实现所需的响应,在此进行建模和分析。为了设计陷波滤波器,提出了滤波器特性与生化参数之间的关系。还给出了一个初步的数值示例作为概念验证。

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