合成生物学中的自适应电路

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Current Opinion in Systems Biology Pub Date : 2021-12-01 DOI:10.1016/j.coisb.2021.100399

Timothy Frei, Mustafa Khammash

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引用次数: 10

摘要

生物系统最显著的特征之一是它们适应不断变化的环境的能力。通过利用控制论的原理，合成生物学家开始在调控基因回路中模仿这种适应。这样做可以构建在非最佳条件下可靠运行的系统。此外，使系统具有适应性可以弥补对潜在生物学知识的不完善，从而避免在实现中出现不可预见的复杂情况。在这里，我们回顾了合成生物学中自适应调控网络的分析和实施的最新进展，特别关注可以实现完美适应的遗传电路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Adaptive circuits in synthetic biology

One of the most remarkable features of biological systems is their ability to adapt to the constantly changing environment. By harnessing principles of control theory, synthetic biologists are starting to mimic this adaptation in regulatory gene circuits. Doing so allows for the construction of systems that perform reliably under non-optimal conditions. Furthermore, making a system adaptive can make up for imperfect knowledge of the underlying biology and, hence, avoid unforeseen complications in the implementation. Here, we review recent developments in the analysis and implementation of adaptive regulatory networks in synthetic biology with a particular focus on genetic circuits that can realize perfect adaptation.

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来源期刊

Current Opinion in Systems Biology Mathematics-Applied Mathematics

CiteScore

7.10

自引率

2.70%

发文量

期刊介绍： Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution