Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-23998
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Algorithm-aided engineering of aliphatic halogenase WelO5* for the asymmetric late-stage functionalization of soraphens
Authors: Büchler, Johannes
Malca, Sumire Honda
Patsch, David
Voss, Moritz
Turner, Nicholas J.
Bornscheuer, Uwe T.
Allemann, Oliver
Le Chapelain, Camille
Lumbroso, Alexandre
Loiseleur, Olivier
Buller, Rebecca
et. al: No
DOI: 10.1038/s41467-022-27999-1
10.21256/zhaw-23998
Published in: Nature Communications
Volume(Issue): 13
Issue: 371
Issue Date: 18-Jan-2022
Publisher / Ed. Institution: Nature Publishing Group
ISSN: 2041-1723
Language: English
Subject (DDC): 660.6: Biotechnology
Abstract: Late-stage functionalization of natural products offers an elegant route to create novel entities in a relevant biological target space. In this context, enzymes capable of halogenating sp3 carbons with high stereo- and regiocontrol under benign conditions have attracted particular attention. Enabled by a combination of smart library design and machine learning, we engineer the iron/α-ketoglutarate dependent halogenase WelO5* for the late-stage functionalization of the complex and chemically difficult to derivatize macrolides soraphen A and C, potent anti-fungal agents. While the wild type enzyme WelO5* does not accept the macrolide substrates, our engineering strategy leads to active halogenase variants and improves upon their apparent kcat and total turnover number by more than 90-fold and 300-fold, respectively. Notably, our machine-learning guided engineering approach is capable of predicting more active variants and allows us to switch the regio-selectivity of the halogenases facilitating the targeted analysis of the derivatized macrolides’ structure-function activity in biological assays.
URI: https://digitalcollection.zhaw.ch/handle/11475/23998
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Chemistry and Biotechnology (ICBT)
Published as part of the ZHAW project: PgB P-14 Engineered Halogenases
NCCR Catalysis
Appears in collections:Publikationen Life Sciences und Facility Management

Files in This Item:
File Description SizeFormat 
2022_Buechler-etal_Algorithm-aided-engineering-aliphatic-halogenase-WelO5.pdf2.3 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.