The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Picture of Gyula Hoffka

Gyula Hoffka

Postdoctoral fellow

Picture of Gyula Hoffka

Complete computational design of high-efficiency Kemp elimination enzymes

Author

  • Dina Listov
  • Eva Vos
  • Gyula Hoffka
  • Shlomo Yakir Hoch
  • Andrej Berg
  • Shelly Hamer-Rogotner
  • Orly Dym
  • Shina Caroline Lynn Kamerlin
  • Sarel J. Fleishman

Summary, in English

Until now, computationally designed enzymes exhibited low catalytic rates1, 2, 3, 4–5 and required intensive experimental optimization to reach activity levels observed in comparable natural enzymes5, 6, 7, 8–9. These results exposed limitations in design methodology and suggested critical gaps in our understanding of the fundamentals of biocatalysis10,11. We present a fully computational workflow for designing efficient enzymes in TIM-barrel folds using backbone fragments from natural proteins and without requiring optimization by mutant-library screening. Three Kemp eliminase designs exhibit efficiencies greater than 2,000 M−1 s−1. The most efficient shows more than 140 mutations from any natural protein, including a novel active site. It exhibits high stability (greater than 85 °C) and remarkable catalytic efficiency (12,700 M−1 s−1) and rate (2.8 s−1), surpassing previous computational designs by two orders of magnitude1, 2, 3, 4–5. Furthermore, designing a residue considered essential in all previous Kemp eliminase designs increases efficiency to more than 105 M−1 s−1 and rate to 30 s−1, achieving catalytic parameters comparable to natural enzymes and challenging fundamental biocatalytic assumptions. By overcoming limitations in design methodology11, our strategy enables programming stable, high-efficiency, new-to-nature enzymes through a minimal experimental effort.

Department/s

  • Department of Chemistry

Publishing year

2025-07-31

Language

English

Pages

1421-1427

Publication/Series

Nature

Volume

643

Issue

8074

Document type

Journal article

Publisher

Nature Publishing Group

Topic

  • Molecular Biology
  • Theoretical Chemistry (including Computational Chemistry)

Status

Published

ISBN/ISSN/Other

  • ISSN: 0028-0836