Future systems and control research in synthetic biology
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, ther...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier BV
2020
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| Online Access: | https://hdl.handle.net/1721.1/125673 |
| _version_ | 1826201316055056384 |
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| author | Del Vecchio, Domitilla Qian, Yili Murray, Richard A. Sontag, Eduardo D. |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Del Vecchio, Domitilla Qian, Yili Murray, Richard A. Sontag, Eduardo D. |
| author_sort | Del Vecchio, Domitilla |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:50:00Z |
| format | Article |
| id | mit-1721.1/125673 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:50:00Z |
| publishDate | 2020 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1256732022-10-01T06:19:54Z Future systems and control research in synthetic biology Del Vecchio, Domitilla Qian, Yili Murray, Richard A. Sontag, Eduardo D. Massachusetts Institute of Technology. Department of Mechanical Engineering 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. 2020-06-04T17:36:59Z 2020-06-04T17:36:59Z 2018-05 2018-04 2019-09-26T13:26:58Z Article http://purl.org/eprint/type/JournalArticle 1872-9088 https://hdl.handle.net/1721.1/125673 Del Vecchio, Domitilla et al. “Future Systems and Control Research in Synthetic Biology.” Annual Reviews in Control 45 (2018): 5–17. en http://dx.doi.org/10.1016/J.ARCONTROL.2018.04.007 Annual Reviews in Control Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV MIT web domain |
| spellingShingle | Del Vecchio, Domitilla Qian, Yili Murray, Richard A. Sontag, Eduardo D. Future systems and control research in synthetic biology |
| title | Future systems and control research in synthetic biology |
| title_full | Future systems and control research in synthetic biology |
| title_fullStr | Future systems and control research in synthetic biology |
| title_full_unstemmed | Future systems and control research in synthetic biology |
| title_short | Future systems and control research in synthetic biology |
| title_sort | future systems and control research in synthetic biology |
| url | https://hdl.handle.net/1721.1/125673 |
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