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Artificial Enzymes
Abstract
Simple chemical catalysts have been designed to achieve some desirable features of enzymes. These novel catalysts are not proteins, but they may incorporate the typical enzyme catalytic groups and they achieve selectivity in their reactions by use of geometric control, as do enzymes. Catalysts that carry out geometrically controlled chlorinations of aromatic rings and steroids have been constructed. Other catalysts achieve the selective synthesis of amino acids, and still others imitate ribonuclease in detailed mechanism and hydrolyze RNA. Optimization of geometries has led to a rate acceleration of over 10 8 in one instance.
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Citations
Cited by
The RNA moiety of ribonuclease P is the catalytic subunit of the enzyme
Guerrier-Takada, C., Gardiner, K., Marsh, T., Pace, N., & Altman, S. (1983) · Cell · doi:10.1016/0092-8674(83)90117-4 · Cited by 2,684
Self‐Assembly in Natural and Unnatural Systems
Philp, D., & Stoddart, J. F. (1996) · Angewandte Chemie International Edition in English · doi:10.1002/anie.199611541 · Cited by 2,115
Review: A History of Cyclodextrins
Crini, G. (2014) · Chemical Reviews · doi:10.1021/cr500081p · Cited by 1,906
Selbstorganisation in natürlichen und in nichtnatürlichen Systemen
Philp, D., & Stoddart, J. F. (1996) · Angewandte Chemie · doi:10.1002/ange.19961081105 · Cited by 466
Li, J., Harada, A., & Kamachi, M. (1994) · Polymer Journal · doi:10.1295/polymj.26.1019 · Cited by 317
Metadata
- Authors
- Breslow, R.
- Venue
- Science
- Published
- 1982-11-05
- Volume
- 218
- Issue
- 4572
- Pages
- 532-537
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W4256519037
- Cited by
- 343
- References
- 0
- FWCI
- 5.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- Breslow, R. (1982). Artificial Enzymes. Science. https://doi.org/10.1126/science.7123255
Data sources
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
