Engineering an efficient and enantioselective enzyme for the Morita-Baylis-Hillman reaction

Nat Chem. 2022 Mar;14(3):313-320. doi: 10.1038/s41557-021-00833-9. Epub 2021 Dec 16.


The combination of computational design and directed evolution could offer a general strategy to create enzymes with new functions. So far, this approach has delivered enzymes for a handful of model reactions. Here we show that new catalytic mechanisms can be engineered into proteins to accelerate more challenging chemical transformations. Evolutionary optimization of a primitive design afforded an efficient and enantioselective enzyme (BH32.14) for the Morita-Baylis-Hillman (MBH) reaction. BH32.14 is suitable for preparative-scale transformations, accepts a broad range of aldehyde and enone coupling partners and is able to promote selective monofunctionalizations of dialdehydes. Crystallographic, biochemical and computational studies reveal that BH32.14 operates via a sophisticated catalytic mechanism comprising a His23 nucleophile paired with a judiciously positioned Arg124. This catalytic arginine shuttles between conformational states to stabilize multiple oxyanion intermediates and serves as a genetically encoded surrogate of privileged bidentate hydrogen-bonding catalysts (for example, thioureas). This study demonstrates that elaborate catalytic devices can be built from scratch to promote demanding multi-step processes not observed in nature.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Catalysis
  • Hydrogen Bonding
  • Molecular Conformation
  • Proteins*
  • Stereoisomerism


  • Proteins