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基于细胞 — 计算机交互的细胞控制方法

颜钱明 张鹏程 乔榕 古槿 汪小我

颜钱明, 张鹏程, 乔榕, 古槿, 汪小我. 基于细胞 — 计算机交互的细胞控制方法. 自动化学报, 2021, 47(3): 489−500 doi: 10.16383/j.aas.c190528
引用本文: 颜钱明, 张鹏程, 乔榕, 古槿, 汪小我. 基于细胞 — 计算机交互的细胞控制方法. 自动化学报, 2021, 47(3): 489−500 doi: 10.16383/j.aas.c190528
Yan Qian-Ming, Zhang Peng-Cheng, Qiao Rong, Gu Jin, Wang Xiao-Wo. Control cells based on cell-computer interfacing. Acta Automatica Sinica, 2021, 47(3): 489−500 doi: 10.16383/j.aas.c190528
Citation: Yan Qian-Ming, Zhang Peng-Cheng, Qiao Rong, Gu Jin, Wang Xiao-Wo. Control cells based on cell-computer interfacing. Acta Automatica Sinica, 2021, 47(3): 489−500 doi: 10.16383/j.aas.c190528

基于细胞 — 计算机交互的细胞控制方法

doi: 10.16383/j.aas.c190528
基金项目: 国家自然科学基金(61773230, 61721003)资助
详细信息
    作者简介:

    颜钱明:清华大学自动化系博士研究生. 2018年获得清华大学自动化系学士学位. 主要研究方向为生物系统的建模与控制, 细胞与计算机的耦合控制. E-mail: yanqm18@mails.tsinghua.edu.cn

    张鹏程:清华大学自动化系博士研究生. 2018年获得北京理工大学生命学院学士学位. 主要研究方向为光遗传学与细胞控制. E-mail: zhangpc18@mails.tsinghua.edu.cn

    乔榕:清华大学自动化系硕士研究生. 2018年获得吉林大学通信工程学院学士学位. 主要研究方向为分子竞争调控网络的计算. E-mail: qiaor18@mails.tsinghua.edu.cn

    古槿:清华大学自动化系副教授. 2009年于清华大学自动化系获得工学博士学位. 主要研究方向为生物信息学与机器学习. E-mail: jgu@tsinghua.edu.cn

    汪小我:清华大学自动化系长聘教授. 分别于2003年和2008年获得清华大学学士和博士学位. 主要研究方向为生物系统的建模与控制, 模式识别与机器学习. 本文通信作者. E-mail: xwwang@tsinghua.edu.cn

Control Cells Based on Cell-Computer Interfacing

Funds: Supported by National Natural Science Foundation of China (61773230, 61721003)
More Information
    Author Bio:

    YAN Qian-Ming Ph.D. candidate in the Department of Automation, Tsinghua University. He received his bachelor degree from the Department of Automation, Tsinghua University in 2018. His research interest covers modeling and control of biological systems, and coupling control of cells and computer

    ZHANG Peng-Cheng Ph.D. candidate in the Department of Automation, Tsinghua University. He received his bachelor degree from Beijing Institute of Technology in 2018. His research interest covers optogenetics and cell control

    QIAO Rong Master student in the Department of Automation, Tsinghua University. She received her bachelor degree from Jilin University in 2018. Her research interest covers computation with competition in molecular regulatory network

    GU Jin Associate professor in the Department of Automation, Tsinghua University. He received his Ph.D. degree from the Department of Automation, Tsinghua University in 2009. His research interest covers bioinformatics and machine learning

    WANG Xiao-Wo Professor in the Department of Automation, Tsinghua University. He received his bachelor and Ph.D. degrees from Tsinghua University in 2003 and 2008, respectively. His research interest covers modeling and control of biological systems, pattern recognition, and machine learning. Corresponding author of this paper

  • 摘要:

    Wiener在控制论(Cybernetics)中强调了两大类控制对象: 机器与动物. 半个世纪以来, 机器控制领域已形成一套较为完备且先进的控制理论, 而在生物控制方面, 由于生物系统的特殊性和复杂性, 对生命的基本组成单位—细胞的控制仍然进展缓慢. 近年来, 随着合成生物学技术的发展, 基于细胞—计算机交互的胞外控制手段开始引起研究者们的关注, 为细胞控制带来了前所未有的机遇. 胞机交互的方式能够适应生物系统的特殊性, 发挥计算机控制的优势, 实现细胞的自动化实时控制, 为人类研究细胞内部基因调控机制与其他各项生命活动提供了大量的数据与方法支持. 本文根据目前基于胞机交互的细胞控制工作, 归纳与总结了胞机交互中常用的生物学工具以及控制算法, 分析了细胞控制的特殊性与难点, 指出研究实现细胞智能控制的可行性与重要性.

  • 图  1  利用人工合成基因线路控制细胞的基因表达

    Fig.  1  Control gene expression using artificial synthetic gene circuits

    图  2  胞机交互系统示意图

    Fig.  2  A scheme for cell-computer interface

    图  3  利用光遗传学工具控制细胞的基因表达

    Fig.  3  Control gene expression using optogenetic tools

    表  1  细胞控制常用控制算法优缺点比较

    Table  1  Pros and cons of several control algorithms in cell control

    控制算法是否需要精确建模优点缺点
    PID控制稳定性好, 计算简便, 不依赖模型在快速变化的、长时延的系统上效果较差
    模型预测控制适用于时变的、有时延的系统, 能够预测未来状态计算复杂度高, 易受噪声影响, 建模过程繁琐
    起停式控制结构最简单方便控制动作不连续, 容易造成系统振荡
    ZAD控制适用于时变的、有时延的系统, 减少了输入开关数量在快速变化系统中的表现略逊于模型预测控制[20]
    下载: 导出CSV
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  • 收稿日期:  2019-07-15
  • 录用日期:  2019-10-16
  • 刊出日期:  2021-04-02

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