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Future systems and control research in synthetic biology

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Del Vecchio_Future systems and control research in synthetic biology.pdf

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sword-2019-09-26T13:26:58.original.xml (130 B)
Original SWORD entry document
Author(s)
Del Vecchio, Domitilla
•
Qian, Yili
•
Murray, Richard A.
•
Sontag, Eduardo D.
Date Issued
May 2018
Journal
Annual Reviews in Control
Publisher
Elsevier BV
Citation
Del Vecchio, Domitilla et al. “Future Systems and Control Research in Synthetic Biology.” Annual Reviews in Control 45 (2018): 5–17.
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
http://creativecommons.org/licenses/by-nc-nd/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/125673
DOI of Published Version
https://doi.org/10.1016/J.ARCONTROL.2018.04.007
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