Future systems and control research in synthetic biology

被引:44
|
作者
Del Vecchio, Domitilla [1 ]
Qian, Yili [1 ]
Murray, Richard M. [2 ]
Sontag, Eduardo D. [3 ,4 ]
机构
[1] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
[2] CALTECH, Pasadena, CA 91125 USA
[3] Northeastern Univ, Dept Elect & Comp Engn, Boston, MA 02115 USA
[4] Northeastern Univ, Dept Bioengn, Boston, MA 02115 USA
关键词
STOCHASTIC GENE-EXPRESSION; ROBUST PERFECT ADAPTATION; TOGGLE SWITCH; FEEDBACK; DESIGN; NETWORK; NOISE; TRANSCRIPTION; TRANSLATION; SIMULATION;
D O I
10.1016/j.arcontrol.2018.04.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Synthetic biology is the application of engineering principles to the fundamental components of biology, with the aim of creating systems with novel functionalities that can be used for energy, environment, and medical applications. While the potential impact of this new technology is enormous, there are challenges that we need to overcome before the impact of synthetic biology can be fully realized. Many of these challenges fall beyond the scope of molecular biology and are indeed "system-level" problems, where very little research is being performed. This paper identifies pressing challenges in synthetic biology that can be formulated as systems and control theoretic problems and outlines potentially new systems and control theories/tools that are required to tackle such problems. The aim is to attract more systems and control theorists to collaborate with molecular biologists and biophysicists and help synthetic biology reach its promise. At the same time, engaging the systems and control community more broadly into the rich research opportunities and life-changing applications of synthetic biology may provide added visibility to the field of systems and controls. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:5 / 17
页数:13
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