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Enzyme evolution: innovation is easy, optimization is complicated

Abstract
Enzymes have been evolving to catalyze new chemical reactions for billions of years, and will continue to do so for billions more. Here, we review examples in which evolutionary biochemists have used big data and high-throughput experimental tools to shed new light on the enormous functional diversity of extant enzymes, and the evolutionary processes that gave rise to it. We discuss the role that gene loss has played in enzyme evolution, as well as the more familiar processes of gene duplication and divergence. We also review insightful studies that relate not only catalytic activity, but also a host of other biophysical and cellular parameters, to organismal fitness. Finally, we provide an updated perspective on protein engineering, based on our new-found appreciation that most enzymes are sloppy and mediocre.
Type
Journal Article
Type of thesis
Series
Citation
Newton, M. S., Arcus, V. L., Gerth, M. L., & Patrick, W. M. (2018). Enzyme evolution: innovation is easy, optimization is complicated. Current Opinion in Structural Biology, 48, 110–116. https://doi.org/10.1016/j.sbi.2017.11.007
Date
2018
Publisher
Elsevier
Degree
Supervisors
Rights
© 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).