| dc.contributor.author | Del Vecchio, Domitilla | |
| dc.contributor.author | Qian, Yili | |
| dc.contributor.author | McBride, Cameron David | |
| dc.date.accessioned | 2018-11-14T18:12:44Z | |
| dc.date.available | 2018-11-14T18:12:44Z | |
| dc.date.issued | 2018-05 | |
| dc.identifier.issn | 2573-5144 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/119007 | |
| dc.description.abstract | The past decade has witnessed the rise of an exciting new field of engineering: synthetic biology. Synthetic biology is the application of engineering principles to the fundamental components of biology with the aim of programming cells with novel functionalities for utilization in the health, environment, and energy industries. Since its beginnings in the early 2000s, control design principles have been used in synthetic biology to design dynamics, mitigate the effects of uncertainty, and aid modular and layered design. In this review, we provide a basic introduction to synthetic biology, its applications, and its foundations and then describe in more detail how control design approaches have permeated the field since its inception. We conclude with a discussion of pressing challenges in this field that will require new control theory, with the hope of attracting researchers in the control theory community to this exciting engineering area. Keywords: synthetic biology, gene regulation, genetic circuits, control and dynamical systems, robustness, modularity | en_US |
| dc.description.sponsorship | United States. Air Force. Office of Scientific Research (Grant FA9550-14- 1-0060) | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (Expeditions in Computing Award 1521925) | en_US |
| dc.description.sponsorship | United States. Office of Naval Research (Award N000141310074) | en_US |
| dc.publisher | Annual Reviews | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1146/ANNUREV-CONTROL-060117-105052 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | MIT Web Domain | en_US |
| dc.title | Programming Cells to Work for Us | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Qian, Yili, et al. “Programming Cells to Work for Us.” Annual Review of Control, Robotics, and Autonomous Systems, vol. 1, no. 1, May 2018, pp. 411–40. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
| dc.contributor.mitauthor | Qian, Yili | |
| dc.contributor.mitauthor | McBride, Cameron David | |
| dc.relation.journal | Annual Review of Control, Robotics, and Autonomous Systems | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2018-11-09T16:30:45Z | |
| dspace.orderedauthors | Qian, Yili; McBride, Cameron; Del Vecchio, Domitilla | en_US |
| dspace.embargo.terms | N | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0002-1097-0401 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-9163-8821 | |
| mit.license | OPEN_ACCESS_POLICY | en_US |
