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Designed divergent evolution of enzyme function

Author

Listed:
  • Yasuo Yoshikuni

    (UCSF/UCB Joint Graduate Group in Bioengineering
    Lawrence Berkeley National Laboratory)

  • Thomas E. Ferrin

    (UCSF/UCB Joint Graduate Group in Bioengineering
    University of California at San Francisco)

  • Jay D. Keasling

    (UCSF/UCB Joint Graduate Group in Bioengineering
    Department of Chemical Engineering
    University of California at Berkeley
    Lawrence Berkeley National Laboratory)

Abstract

Enzymes to order Natural molecular evolution has created enzymes designed to catalyse a single reaction, by modifying enzymes that were once much less choosy. Yoshikuni et al. have developed a method of designing synthetic enzymes using a mathematical model that mimics the mechanisms of molecular evolution. They use the system to produce a series of novel sesquiterpene cyclases that use different reaction pathways to produce different end-products. This demonstrates the feasibility of exploiting the evolvability of an enzyme scaffold to produce more pure versions of existing molecules or to create new molecules that do not exist in nature.

Suggested Citation

  • Yasuo Yoshikuni & Thomas E. Ferrin & Jay D. Keasling, 2006. "Designed divergent evolution of enzyme function," Nature, Nature, vol. 440(7087), pages 1078-1082, April.
    • Handle: RePEc:nat:nature:v:440:y:2006:i:7087:d:10.1038_nature04607
    DOI: 10.1038/nature04607
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    Cited by:

    1. Codruta Ignea & Morten H. Raadam & Aikaterini Koutsaviti & Yong Zhao & Yao-Tao Duan & Maria Harizani & Karel Miettinen & Panagiota Georgantea & Mads Rosenfeldt & Sara E. Viejo-Ledesma & Mikael A. Pete, 2022. "Expanding the terpene biosynthetic code with non-canonical 16 carbon atom building blocks," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    2. Boxue Tian & C Dale Poulter & Matthew P Jacobson, 2016. "Defining the Product Chemical Space of Monoterpenoid Synthases," PLOS Computational Biology, Public Library of Science, vol. 12(8), pages 1-13, August.
    3. Janani Durairaj & Elena Melillo & Harro J Bouwmeester & Jules Beekwilder & Dick de Ridder & Aalt D J van Dijk, 2021. "Integrating structure-based machine learning and co-evolution to investigate specificity in plant sesquiterpene synthases," PLOS Computational Biology, Public Library of Science, vol. 17(3), pages 1-21, March.

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