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Cited by 419

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Towards Perfect Catalytic Asymmetric Synthesis: Dual Activation of the Electrophile and the Nucleophile

Ma, Jun‐An, Cahard, Dominique·2004·Angewandte Chemie International Edition

Abstract

The design and development of new high‐performance catalysts for applications in asymmetric catalytic reactions is of ongoing interest in organic chemistry. The combination of a Lewis acid and a Lewis base working in concert is now considered state of the art in stereoselective syntheses. The synergistic activation by two or more reactive centers allows high reaction rates and excellent transfer of stereochemical information. Despite the self‐quenching reaction between Lewis acids and Lewis bases that might lead to an inactive catalyst, considerable effort has been directed towards the development of the dual‐activation concept. The ultimate goal is to mimic nature by the discovery of catalytic systems analogous to enzymatic processes that involve metal‐ion cocatalysts. With this aim, the dual activation concept greatly broadens the range of artificial catalysts. The most efficient catalytic systems are reviewed, and the mechanisms of action are discussed.

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Metadata

Authors
Ma, J., & Cahard, D.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2004-09
Volume
43
Issue
35
Pages
4566-4583
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2144550306
Cited by
419
References
2
FWCI
16.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Towards Perfect Catalytic Asymmetric Synthesis: Dual Activation of the Electrophile and the Nucleophile. https://app.cochat.ai/papers/10.1002/anie.200300635
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Ma, J., & Cahard, D. (2004). Towards Perfect Catalytic Asymmetric Synthesis: Dual Activation of the Electrophile and the Nucleophile. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200300635

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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.