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

机译:生物化学信号转导途径的基于串扰的线性滤波器,用于生物互联网的互联网

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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:新颖的新兴工具允许通过生物化学刺激来操纵和​​控制生物电池及其功能,例如感测,致动和通信。这些工具有可能能够实现生物计算设备的人工网络,即生物的互联网。在该作品中,提出了用于工艺生物化学信号的细胞的细胞的化学反应,用于设计模拟线性滤波器,以在生物互联网上用作组件。这些过滤器利用信号转导通路的串扰以实现所需的响应,在此进行建模和分析。筛选属性与生物化学参数之间的关系呈现出设计陷波滤波器的目标。还给出了概念验证的初步数值例子。

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