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Expanding the Enzyme Universe: Accessing Non‐Natural Reactions by Mechanism‐Guided Directed Evolution
Open accessAbstract
High selectivity and exquisite control over the outcome of reactions entice chemists to use biocatalysts in organic synthesis. However, many useful reactions are not accessible because they are not in nature’s known repertoire. In this Review, we outline an evolutionary approach to engineering enzymes to catalyze reactions not found in nature. We begin with examples of how nature has discovered new catalytic functions and how such evolutionary progression has been recapitulated in the laboratory starting from extant enzymes. We then examine non‐native enzyme activities that have been exploited for chemical synthesis, with an emphasis on reactions that do not have natural counterparts. Non‐natural activities can be improved by directed evolution, thus mimicking the process used by nature to create new catalysts. Finally, we describe the discovery of non‐native catalytic functions that may provide future opportunities for the expansion of the enzyme universe.
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Cites
Non-fermentative pathways for synthesis of branched-chain higher alcohols as biofuels
Atsumi, S., Hanai, T., & Liao, J. C. (2008) · Nature · doi:10.1038/nature06450 · Cited by 1,945
Directed evolution drives the next generation of biocatalysts
Turner, N. J. (2009) · Nature Chemical Biology · doi:10.1038/nchembio.203 · Cited by 785
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Nielsen, J., & Keasling, J. D. (2016) · Cell · doi:10.1016/j.cell.2016.02.004 · Cited by 1,378
Artificial Metalloenzymes: Reaction Scope and Optimization Strategies
Schwizer, F., Okamoto, Y., Heinisch, T., Gu, Y., Pellizzoni, M. M., Lebrun, V., Reuter, R., Köhler, V., Lewis, J. C., & Ward, T. R. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00014 · Cited by 831
Directed Evolution: Methodologies and Applications
Wang, Y., Xue, P., Cao, M., Yu, T., Lane, S. T., & Zhao, H. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00260 · Cited by 719
Single-sequence protein structure prediction using language models from deep learning
Chowdhury, R., Bouatta, N., Biswas, S., Rochereau, C., Church, G. M., Sorger, P. K., & AlQuraishi, M. (2021) · doi:10.1101/2021.08.02.454840 · Cited by 455
Metadata
- Authors
- Renata, H., Wang, Z. J., & Arnold, F. H.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2015-02-03
- Volume
- 54
- Issue
- 11
- Pages
- 3351-3367
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2119414767
- Cited by
- 525
- References
- 2
- FWCI
- 25.60
- Type
- journal article
- Language
- en
- Open access
- green
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- Renata, H., Wang, Z. J., & Arnold, F. H. (2015). Expanding the Enzyme Universe: Accessing Non‐Natural Reactions by Mechanism‐Guided Directed Evolution. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201409470
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