Abstract

A review. In recent years, significant progress has been made in the computational design of functional artificial enzymes. When combined with directed evolution protocols, their efficiencies are comparable to those obtained with catalytic antibodies. In comparison, the in silico creation of artificial metalloenzymes remains challenging. This could be due to the difficulty in computing both the transition states for metal-catalyzed reactions and the corresponding entatic state for a metalloenzyme. In a recent study, structurally characterized a functional bacterial nitric oxide reductase within a myoglobin scaffold has been rationally designed. This ground-breaking study by Lu and coworkers has opened the way towards the rational design of artificial metalloenzymes for more challenging reactions. For the artificial nitric oxide reductase, several issues deserve further scrutiny: catalytic efficiency as well as detailed reaction mechanism. In a broader perspective, the use of more elaborate computational algorithms, combined with efficient directed-evolution protocols should enable the creation and optimization of highly versatile artificial metalloenzymes in a variety of protein folds. [on SciFinder(R)]

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.