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Cited by 329

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Computational prediction of small-molecule catalysts

Open access
Houk, K. N., Cheong, Paul Ha-Yeon·2008·Nature

Abstract

Most organic and organometallic catalysts have been discovered through serendipity or trial and error, rather than by rational design. Computational methods, however, are rapidly becoming a versatile tool for understanding and predicting the roles of such catalysts in asymmetric reactions. Such methods should now be regarded as a first line of attack in the design of catalysts.

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Crossref · 10.1038/nature07368

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Metadata

Authors
Houk, K. N., & Cheong, P. H.-Y.
Venue
Nature
Published
2008-09
Volume
455
Issue
7211
Pages
309-313
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W1992680140
Cited by
329
References
16
FWCI
8.25
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Computational prediction of small-molecule catalysts. https://app.cochat.ai/papers/10.1038/nature07368
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Houk, K. N., & Cheong, P. H.-Y. (2008). Computational prediction of small-molecule catalysts. Nature. https://doi.org/10.1038/nature07368

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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.