The combination of computational design and laboratory evolution is a powerful and potentially versatile strategy for the development of enzymes with new functions 1-4 . However, the limited functionality presented by the genetic code restricts the range of catalytic mechanisms that are accessible in designed active sites ...
The combination of computational design and laboratory evolution is a powerful and potentially versatile strategy for the development of enzymes with new functions 1-4 . However, the limited functionality presented by the genetic code restricts the range of catalytic mechanisms that are accessible in designed active sites. Inspired by mechanistic strategies from small-molecule organocatalysis 5 , here we report the generation of a hydrolytic enzyme that uses N δ -methylhistidine as a non-canonical catalytic nucleophile. Histidine methylation is essential for catalytic function because it prevents the formation of unreactive acyl-enzyme intermediates, which has been a long-standing challenge when using canonical nucleophiles in enzyme design 6-10 . Enzyme performance was optimized using directed evolution protocols adapted to an expanded genetic code, affording a biocatalyst capable of accelerating ester hydrolysis with greater than 9,000-fold increased efficiency over free N δ -methylhistidine in solution. Crystallographic snapshots along the evolutionary trajectory highlight the catalytic devices that are responsible for this increase in efficiency. N δ -methylhistidine can be considered to be a genetically encodable surrogate of the widely employed nucleophilic catalyst dimethylaminopyridine 11 , and its use will create opportunities to design and engineer enzymes for a wealth of valuable chemical transformations.
Organizational Affiliation:
Manchester Institute of Biotechnology, School of Chemistry, University of Manchester, Manchester, UK. anthony.green@manchester.ac.uk.
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