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Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico

Author

Listed:
  • Aron Broom

    (University of Ottawa)

  • Rojo V. Rakotoharisoa

    (University of Ottawa)

  • Michael C. Thompson

    (University of California, San Francisco
    University of California, Merced)

  • Niayesh Zarifi

    (University of Ottawa)

  • Erin Nguyen

    (University of Ottawa)

  • Nurzhan Mukhametzhanov

    (University of Ottawa)

  • Lin Liu

    (University of California, San Francisco)

  • James S. Fraser

    (University of California, San Francisco)

  • Roberto A. Chica

    (University of Ottawa)

Abstract

The creation of artificial enzymes is a key objective of computational protein design. Although de novo enzymes have been successfully designed, these exhibit low catalytic efficiencies, requiring directed evolution to improve activity. Here, we use room-temperature X-ray crystallography to study changes in the conformational ensemble during evolution of the designed Kemp eliminase HG3 (kcat/KM 146 M−1s−1). We observe that catalytic residues are increasingly rigidified, the active site becomes better pre-organized, and its entrance is widened. Based on these observations, we engineer HG4, an efficient biocatalyst (kcat/KM 103,000 M−1s−1) containing key first and second-shell mutations found during evolution. HG4 structures reveal that its active site is pre-organized and rigidified for efficient catalysis. Our results show how directed evolution circumvents challenges inherent to enzyme design by shifting conformational ensembles to favor catalytically-productive sub-states, and suggest improvements to the design methodology that incorporate ensemble modeling of crystallographic data.

Suggested Citation

  • Aron Broom & Rojo V. Rakotoharisoa & Michael C. Thompson & Niayesh Zarifi & Erin Nguyen & Nurzhan Mukhametzhanov & Lin Liu & James S. Fraser & Roberto A. Chica, 2020. "Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18619-x
    DOI: 10.1038/s41467-020-18619-x
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