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 accessAbstract
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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Cites
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Cited by
Zahrt, A. F., Athavale, S. V., & Denmark, S. E. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00425 · Cited by 212
Henle, J. J., Zahrt, A. F., Rose, B. T., Darrow, W. T., Wang, Y., & Denmark, S. E. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.0c04715 · Cited by 93
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Ring Closure To Form Metal Chelates in 3D Fragment-Based de Novo Design
Foscato, M., Houghton, B. J., Occhipinti, G., Deeth, R. J., & Jensen, V. R. (2015) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5b00424 · Cited by 21
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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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