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dc.contributor.authorSankaranarayanan, Karthik
dc.contributor.authorHeid, Esther
dc.contributor.authorColey, Connor W
dc.contributor.authorVerma, Deeptak
dc.contributor.authorGreen, William H
dc.contributor.authorJensen, Klavs F
dc.date.accessioned2022-11-18T19:48:00Z
dc.date.available2022-11-18T19:48:00Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/146554
dc.description.abstract<jats:p>Using a large database of enzymatic transformations, similarity based enzymatic retrosynthesis search algorithm takes a holistic approach to enzymatic synthesis planning to yield a diverse set of single-step suggestions.</jats:p>en_US
dc.language.isoen
dc.publisherRoyal Society of Chemistry (RSC)en_US
dc.relation.isversionof10.1039/D2SC01588Aen_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceRoyal Society of Chemistry (RSC)en_US
dc.titleSimilarity based enzymatic retrosynthesisen_US
dc.typeArticleen_US
dc.identifier.citationSankaranarayanan, Karthik, Heid, Esther, Coley, Connor W, Verma, Deeptak, Green, William H et al. 2022. "Similarity based enzymatic retrosynthesis." Chemical Science, 13 (20).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.relation.journalChemical Scienceen_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.updated2022-11-18T19:41:47Z
dspace.orderedauthorsSankaranarayanan, K; Heid, E; Coley, CW; Verma, D; Green, WH; Jensen, KFen_US
dspace.date.submission2022-11-18T19:41:48Z
mit.journal.volume13en_US
mit.journal.issue20en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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