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Cited by 225

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

The Cysteinome of Protein Kinases as a Target in Drug Development

Chaikuad, Apirat, Koch, Pierre, Laufer, Stefan A., Knapp, Stefan·2018·Angewandte Chemie International Edition

Abstract

Drugs that function through covalent bond formation represent a considerable fraction of our repository of effective medicines but safety concerns and the complexity of developing covalent inhibitors has rendered covalent targeting a less attractive strategy for rational drug design. The recent approval of four covalent kinase inhibitors and the development of highly potent covalent kinase probes with exceptional selectivity has raised significant interest in industry and academic research and validated the concept of covalent kinase targeting for clinical applications. The abundance of cysteines at diverse positions in and around the kinase active site suggests that a large fraction of kinases can be targeted by covalent inhibitors. Herein, we review recent developments of this rapidly growing area in kinase drug development and highlight the unique opportunities and challenges of this strategy.

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Metadata

Authors
Chaikuad, A., Koch, P., Laufer, S. A., & Knapp, S.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2018-02-02
Volume
57
Issue
16
Pages
4372-4385
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2763970918
Cited by
225
References
20
FWCI
8.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Cysteinome of Protein Kinases as a Target in Drug Development. https://app.cochat.ai/papers/10.1002/anie.201707875
The paper
Chaikuad, A., Koch, P., Laufer, S. A., & Knapp, S. (2018). The Cysteinome of Protein Kinases as a Target in Drug Development. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201707875

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.