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      Enzyme evolution: innovation is easy, optimization is complicated

      Newton, Matilda S.; Arcus, Vickery L.; Gerth, Monica L.; Patrick, Wayne M.
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      2018 newton arcus gerth patrick Current Opinion in Structural Biology.pdf
      Published version, 1.009Mb
      DOI
       10.1016/j.sbi.2017.11.007
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      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
      Permanent Research Commons link: https://hdl.handle.net/10289/11750
      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.
      Date
      2018
      Type
      Journal Article
      Publisher
      Elsevier
      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/).
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      • Science and Engineering Papers [3025]
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