Show simple item record

dc.contributor.authorIlia, Katherine
dc.contributor.authorDel Vecchio, Domitilla
dc.date.accessioned2024-07-17T20:45:47Z
dc.date.available2024-07-17T20:45:47Z
dc.date.issued2022-04-01
dc.identifier.issn2768-1572
dc.identifier.issn2768-1556
dc.identifier.urihttps://hdl.handle.net/1721.1/155699
dc.description.abstractSynthetic biology has been significantly shaped by modular design principles through analogies to electrical and computer engineering. Although convenient, these parallels often break down in practice, and we are still largely unable to engineer sophisticated systems that behave as predicted. As nature has achieved robust and intricate programs without requiring strict modularity, we may want to revisit genetic circuit design approaches. Rather than pursuing modularity, we could aim for a robust and scalable design framework that embraces the uncertainty that context dependence brings to engineering in a biological chassis. Systems and control theory offer a starting point, but a substantial conceptual leap will be needed to quantitatively predict system behavior and establish flexible context-aware design processes. Only by overcoming these hurdles shall we be able to capitalize on synthetic biology in particular—and on biotechnology in general—for medicine, environmental engineering, and energy production.en_US
dc.language.isoen
dc.publisherMary Ann Liebert Incen_US
dc.relation.isversionof10.1089/genbio.2021.0014en_US
dc.rightsCreative Commons Attribution-Noncommercial-ShareAlikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceAuthoren_US
dc.titleSquaring a Circle: To What Extent Are Traditional Circuit Analogies Impeding Synthetic Biology?en_US
dc.typeArticleen_US
dc.identifier.citationIlia, Katherine and Del Vecchio, Domitilla. 2022. "Squaring a Circle: To What Extent Are Traditional Circuit Analogies Impeding Synthetic Biology?." GEN Biotechnology, 1 (2).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Synthetic Biology Center
dc.relation.journalGEN Biotechnologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-07-17T20:40:41Z
dspace.orderedauthorsIlia, K; Del Vecchio, Den_US
dspace.date.submission2024-07-17T20:40:45Z
mit.journal.volume1en_US
mit.journal.issue2en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record