Issue 40, 2023

From random to rational: improving enzyme design through electric fields, second coordination sphere interactions, and conformational dynamics

Abstract

Enzymes are versatile and efficient biological catalysts that drive numerous cellular processes, motivating the development of enzyme design approaches to tailor catalysts for diverse applications. In this perspective, we investigate the unique properties of natural, evolved, and designed enzymes, recognizing their strengths and shortcomings. We highlight the challenges and limitations of current enzyme design protocols, with a particular focus on their limited consideration of long-range electrostatic and dynamic effects. We then delve deeper into the impact of the protein environment on enzyme catalysis and explore the roles of preorganized electric fields, second coordination sphere interactions, and protein dynamics for enzyme function. Furthermore, we present several case studies illustrating successful enzyme-design efforts incorporating enzyme strategies mentioned above to achieve improved catalytic properties. Finally, we envision the future of enzyme design research, spotlighting the challenges yet to be overcome and the synergy of intrinsic electric fields, second coordination sphere interactions, and conformational dynamics to push the state-of-the-art boundaries.

Graphical abstract: From random to rational: improving enzyme design through electric fields, second coordination sphere interactions, and conformational dynamics

Article information

Article type
Perspective
Submitted
11 jun. 2023
Accepted
11 sep. 2023
First published
13 sep. 2023
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY-NC license

Chem. Sci., 2023,14, 10997-11011

From random to rational: improving enzyme design through electric fields, second coordination sphere interactions, and conformational dynamics

S. S. Chaturvedi, D. Bím, C. Z. Christov and A. N. Alexandrova, Chem. Sci., 2023, 14, 10997 DOI: 10.1039/D3SC02982D

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