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Family Clustering of Baeyer–Villiger Monooxygenases Based on Protein Sequence and Stereopreference
Author(s) -
Mihovilovic Marko D.,
Rudroff Florian,
Grötzl Birgit,
Kapitan Peter,
Snajdrova Radka,
Rydz Joanna,
Mach Robert
Publication year - 2005
Publication title -
angewandte chemie international edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.831
H-Index - 550
eISSN - 1521-3773
pISSN - 1433-7851
DOI - 10.1002/anie.200462964
Subject(s) - monooxygenase , biocatalysis , similarity (geometry) , cluster analysis , computational biology , phylogenetic tree , biology , structural similarity , sequence (biology) , stereochemistry , enzyme , chemistry , computer science , genetics , biochemistry , gene , artificial intelligence , image (mathematics) , catalysis , cytochrome p450 , ionic liquid
The identification of enzyme pairs with overlapping substrate specificity and enantiocomplementary transformations is a key challenge in biocatalysis. Enantio‐ and regiodivergent Baeyer–Villiger oxidations were successfully carried out by using a small library of recombinant Escherichia coli strains expressing monooxygenases of various microbial origin (see picture). The clustering of enzymes based on stereopreference is in good agreement with phylogenetic similarity.