Directed Evolution of Artificial Metalloenzymes: Bridging Synthetic Chemistry and Biology

Abstract

Directed evolution is a powerful algorithm for engineering proteins to have novel and useful properties. However, we do not yet fully understand the characteristics of an evolvable system. In this chapter, we present examples where directed evolution has been used to enhance the performance of metalloenzymes, focusing first on “classical” cases such as improving enzyme stability or expanding the scope of natural reactivity. We then discuss how directed evolution has been extended to artificial systems, in which a metalloprotein catalyzes reactions using abiological reagents or in which the protein utilizes a nonnatural cofactor for catalysis. These examples demonstrate that directed evolution can also be applied to artificial systems to improve catalytic properties, such as activity and enantioselectivity, and to favor a different product than that favored by small‐molecule catalysts. Future work will help define the extent to which artificial metalloenzymes can be altered and optimized by directed evolution and the best approaches for doing so.