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dc.contributor.authorLin, Geng-Min
dc.contributor.authorWarden-Rothman, Robert L
dc.contributor.authorVoigt, Christopher A.
dc.date.accessioned2020-06-17T19:54:03Z
dc.date.available2020-06-17T19:54:03Z
dc.date.issued2019-04
dc.identifier.urihttps://hdl.handle.net/1721.1/125854
dc.description.abstractBiology produces a universe of chemicals whose precision and complexity is the envy of chemists. Over the last 30 years, the expansive field of metabolic engineering has many successes in optimizing the overproduction of metabolites of industrial interest, including moving natural product pathways to production hosts (e.g., plants to yeast). However, there are stunningly few examples where enzymes are artificially combined to make a chemical that is not found somewhere in nature. Here, we review these efforts and discuss the challenges limiting the construction of such pathways. An analogy is made to the retrosynthesis problem solved in chemistry using algorithmic approaches, recently harnessing artificial intelligence, noting key differences in the needs of the optimization problem. When these issues are addressed, we see a future where chemistry and biology are intertwined in reaction networks that draw on the power of both to build currently unobtainable molecules across consumer, industrial, and defense applications.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/J.COISB.2019.04.004en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceElsevieren_US
dc.titleRetrosynthetic design of metabolic pathways to chemicals not found in natureen_US
dc.typeArticleen_US
dc.identifier.citationLin, Geng-Min et al. "Retrosynthetic design of metabolic pathways to chemicals not found in nature." Biology 14 (April 2019): 82-107 © 2019 The Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Synthetic Biology Centeren_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.relation.journalCurrent Opinion in Systems Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-03-18T13:53:20Z
dspace.date.submission2020-03-18T13:53:32Z
mit.journal.volume14en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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