| Autor: |
Johannes Büchler, Sumire Honda Malca, David Patsch, Moritz Voss, Nicholas J. Turner, Uwe T. Bornscheuer, Oliver Allemann, Camille Le Chapelain, Alexandre Lumbroso, Olivier Loiseleur, Rebecca Buller |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-022-27999-1 |
| Popis: |
The late-stage functionalization of unactivated carbon–hydrogen bonds is a difficult but important task, which has been met with promising but limited success through synthetic organic chemistry. Here the authors use machine learning to engineer WelO5* halogenase variants, which led to regioselective chlorination of inert C–H bonds on a representative polyketide that is a non-natural substrate for the enzyme. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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