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Catalytic DNA (deoxyribozymes) for synthetic applications—current abilities and future prospects

Silverman, Scott K.·2008·Chemical Communications

Abstract

The discovery of naturally occurring catalytic RNA (RNA enzymes, or ribozymes) in the 1980s immediately revised the view of RNA as a passive messenger that solely carries information from DNA to proteins. Because DNA and RNA differ only by the absence or presence of a 2'-hydroxyl group on each ribose ring of the polymer, the question of 'catalytic DNA?' arises. Although no natural DNA catalysts have been reported, since 1994 many artificial DNA enzymes, or 'deoxyribozymes', have been described. Deoxyribozymes offer insight into the mechanisms of natural and artificial ribozymes. DNA enzymes are also used as tools for in vitro and in vivo biochemistry, and they are key components of analytical sensors. This review focuses primarily on catalytic DNA for synthetic applications. Broadly defined, deoxyribozymes may have the greatest potential for catalyzing reactions in which the high selectivities of 'enzymes' are advantageous relative to traditional small-molecule catalysts. Although the scope of DNA-catalyzed synthesis is currently limited in most cases to oligonucleotide substrates, recent efforts have began to expand this frontier in promising new directions.

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Metadata

Authors
Silverman, S. K.
Venue
Chemical Communications
Published
2008
Issue
30
Pages
3467
ISSN
  • 1359-7345 (ISSN-L)
  • 1364-548X
OpenAlex
W1987627447
Cited by
183
References
9
FWCI
7.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Catalytic DNA (deoxyribozymes) for synthetic applications—current abilities and future prospects. https://app.cochat.ai/papers/10.1039/b807292m
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Silverman, S. K. (2008). Catalytic DNA (deoxyribozymes) for synthetic applications—current abilities and future prospects. Chemical Communications. https://doi.org/10.1039/b807292m

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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.