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Cited by 513

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Redox-based reagents for chemoselective methionine bioconjugation

Open access
Lin, Shixian, Yang, Xiaoyu, Jia, Shang, Weeks, Amy M., Hornsby, Michael, Lee, Peter S., Nichiporuk, Rita V., Iavarone, Anthony T., Wells, James A., Toste, F. Dean, Chang, Christopher J.·2017·Science

Abstract

Targeting proteins at the other sulfur: As the only amino acid with a thiol (SH) group, cysteine is easily targeted for site-selective protein modifications. Hydrophobic methionine also has sulfur in its side chain, but its capping methyl group has hindered analogous targeting efforts. Lin et al. introduce a complementary protocol to tether new substituents exclusively to methionine, even in the presence of cysteine. They used an oxaziridine group as an oxidant to form sulfimide (S=N) linkages. The approach allowed antibody-drug conjugation and chemoproteomic screening for reactive methionine surface residues. Science , this issue p. 597

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Crossref · 10.1126/science.aal3316

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Metadata

Authors
Lin, S., Yang, X., Jia, S., Weeks, A. M., Hornsby, M., Lee, P. S., Nichiporuk, R. V., Iavarone, A. T., Wells, J. A., Toste, F. D., & Chang, C. J.
Venue
Science
Published
2017-02-10
Volume
355
Issue
6325
Pages
597-602
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2593943479
Cited by
513
References
56
FWCI
17.58
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Redox-based reagents for chemoselective methionine bioconjugation. https://app.cochat.ai/papers/10.1126/science.aal3316
The paper
Lin, S., Yang, X., Jia, S., Weeks, A. M., Hornsby, M., Lee, P. S., Nichiporuk, R. V., Iavarone, A. T., Wells, J. A., Toste, F. D., & Chang, C. J. (2017). Redox-based reagents for chemoselective methionine bioconjugation. Science. https://doi.org/10.1126/science.aal3316

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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.