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The binding conformation of Taxol in β-tubulin: A model based on electron crystallographic density

Open access
Snyder, James P., Nettles, James H., Cornett, Ben, Downing, Kenneth H., Nogales, Eva·2001·Proceedings of the National Academy of Sciences

Abstract

The chemotherapeutic drug Taxol is known to interact within a specific site on β-tubulin. Although the general location of the site has been defined by photoaffinity labeling and electron crystallography, the original data were insufficient to make an absolute determination of the bound conformation. We have now correlated the crystallographic density with analysis of Taxol conformations and have found the unique solution to be a T-shaped Taxol structure. This T-shaped or butterfly structure is optimized within the β-tubulin site and exhibits functional similarity to a portion of the B9-B10 loop in the α-tubulin subunit. The model provides structural rationalization for a sizeable body of Taxol structure–activity relationship data, including binding affinity, photoaffinity labeling, and acquired mutation in human cancer cells.

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Metadata

Authors
Snyder, J. P., Nettles, J. H., Cornett, B., Downing, K. H., & Nogales, E.
Venue
Proceedings of the National Academy of Sciences
Published
2001-04-17
Volume
98
Issue
9
Pages
5312-5316
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2009486292
Cited by
362
References
0
FWCI
7.06
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The binding conformation of Taxol in β-tubulin: A model based on electron crystallographic density. https://app.cochat.ai/papers/10.1073/pnas.051309398
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Snyder, J. P., Nettles, J. H., Cornett, B., Downing, K. H., & Nogales, E. (2001). The binding conformation of Taxol in β-tubulin: A model based on electron crystallographic density. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.051309398

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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.