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dc.contributor.authorDaletos, Georgios
dc.contributor.authorStephanopoulos, Gregory
dc.date.accessioned2021-10-27T20:22:56Z
dc.date.available2021-10-27T20:22:56Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/135314
dc.description.abstract© 2020 The Authors Isoprenoids comprise one of the most chemically diverse family of natural products with high commercial interest. The structural diversity of isoprenoids is mainly due to the modular activity of three distinct classes of enzymes, including prenyl diphosphate synthases, terpene synthases, and cytochrome P450s. The heterologous expression of these enzymes in microbial systems is suggested to be a promising sustainable way for the production of isoprenoids. Several limitations are associated with native enzymes, such as low stability, activity, and expression profiles. To address these challenges, protein engineering has been applied to improve the catalytic activity, selectivity, and substrate turnover of enzymes. In addition, the natural promiscuity and modular fashion of isoprenoid enzymes render them excellent targets for combinatorial studies and the production of new-to-nature metabolites. In this review, we discuss key individual and multienzyme level strategies for the successful implementation of enzyme engineering towards efficient microbial production of high-value isoprenoids. Challenges and future directions of protein engineering as a complementary strategy to metabolic engineering are likewise outlined.
dc.language.isoen
dc.publisherElsevier BV
dc.relation.isversionof10.1016/J.MEC.2020.E00129
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceElsevier
dc.titleProtein engineering strategies for microbial production of isoprenoids
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.relation.journalMetabolic Engineering Communications
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-06-22T16:42:58Z
dspace.orderedauthorsDaletos, G; Stephanopoulos, G
dspace.date.submission2021-06-22T16:43:00Z
mit.journal.volume11
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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