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Cited by 367

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Methods for converting cysteine to dehydroalanine on peptides and proteins

Chalker, Justin M., Gunnoo, Smita B., Boutureira, Omar, Gerstberger, Stefanie C., Fernández-González, Marta, Bernardes, Gonçalo J. L., Griffin, Laura, Hailu, Hanna, Schofield, Christopher J., Davis, Benjamin G.·2011·Chemical Science

Abstract

Dehydroalanine is a synthetic precursor to a wide array of protein modifications. We describe multiple methods for the chemical conversion of cysteine to dehydroalanine on peptides and proteins. The scope and limitations of these methods were investigated with attention paid to side reactions, scale, and aqueous- and bio-compatibility. The most general method investigated—a bis-alkylation–elimination of cysteine to dehydroalanine—was applied successfully to multiple proteins and enabled the site-selective synthesis of a glycosylated antibody.

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Metadata

Authors
Chalker, J. M., Gunnoo, S. B., Boutureira, O., Gerstberger, S. C., Fernández-González, M., Bernardes, G. J. L., Griffin, L., Hailu, H., Schofield, C. J., & Davis, B. G.
Venue
Chemical Science
Published
2011
Volume
2
Issue
9
Pages
1666
ISSN
  • 2041-6520 (ISSN-L)
  • 2041-6539
OpenAlex
W2167023708
Cited by
367
References
62
FWCI
4.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Methods for converting cysteine to dehydroalanine on peptides and proteins. https://app.cochat.ai/papers/10.1039/c1sc00185j
The paper
Chalker, J. M., Gunnoo, S. B., Boutureira, O., Gerstberger, S. C., Fernández-González, M., Bernardes, G. J. L., Griffin, L., Hailu, H., Schofield, C. J., & Davis, B. G. (2011). Methods for converting cysteine to dehydroalanine on peptides and proteins. Chemical Science. https://doi.org/10.1039/c1sc00185j

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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.