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Machine learning discovery of missing links that mediate alternative branches to plant alkaloids

Machine learning discovery of missing links that mediate alternative branches to plant alkaloids

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_baf664b334934b1d89704e14d973d831

Machine learning discovery of missing links that mediate alternative branches to plant alkaloids

About this item

Full title

Machine learning discovery of missing links that mediate alternative branches to plant alkaloids

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2022-03, Vol.13 (1), p.1405-1405, Article 1405

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Engineering the microbial production of secondary metabolites is limited by the known reactions of correctly annotated enzymes. Therefore, the machine learning discovery of specialized enzymes offers great potential to expand the range of biosynthesis pathways. Benzylisoquinoline alkaloid production is a model example of metabolic engineering with...

Alternative Titles

Full title

Machine learning discovery of missing links that mediate alternative branches to plant alkaloids

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_baf664b334934b1d89704e14d973d831

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_baf664b334934b1d89704e14d973d831

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-022-28883-8

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