Rxivist logo

Systematic Engineering of Artificial Metalloenzymes for New-to-Nature Reactions

By Tobias Vornholt, Fadri Christoffel, Michela M. Pellizzoni, Sven Panke, Thomas R. Ward, Markus Jeschek

Posted 15 Jul 2020
bioRxiv DOI: 10.1101/2020.07.15.204206

Artificial metalloenzymes (ArMs) catalyzing new-to-nature reactions under mild conditions could play an important role in the transition to a sustainable, circular economy. While ArMs have been created for a variety of bioorthogonal transformations, attempts at optimizing their performance by enzyme engineering have been case-specific and resulted only in modest improvements. To realize the full potential of ArMs, methods that enable the rapid discovery of highly active ArM variants for any reaction of interest are required. Here, we introduce a broadly applicable, automation-compatible ArM engineering platform, which relies on periplasmic compartmentalization in Escherichia coli to rapidly and reliably identify improved ArM variants based on the biotin-streptavidin technology. We systematically assess 400 ArM mutants for five bioorthogonal transformations involving different metal cofactors, reaction mechanisms and substrate-product pairs, including novel ArMs for gold-catalyzed hydroamination and hydroarylation. The achieved activity enhancements of up to fifteen-fold over wild type highlight the potential of the systematic approach to ArM engineering. We further capitalize on the sequence-activity data to suggest and validate smart strategies for future screening campaigns. This systematic, multi-reaction study has important implications for the development of highly active ArMs for novel applications in biocatalysis and synthetic biology. ### Competing Interest Statement The authors have declared no competing interest.

Download data

  • Downloaded 861 times
  • Download rankings, all-time:
    • Site-wide: 29,482
    • In synthetic biology: 377
  • Year to date:
    • Site-wide: 42,347
  • Since beginning of last month:
    • Site-wide: 48,949

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

News