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Cited by 181

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Small Molecules as Inhibitors of Cyclin‐Dependent Kinases

Huwe, Axel, Mazitschek, Ralph, Giannis, Athanassios·2003·Angewandte Chemie International Edition

Abstract

Cell division (mitosis) is one of the basic requirements for multicellular oranisms. The capability of a cell to replicate enables a complex assembly to be created. Faulty regulation of the control mechanism in the cell cycle leads to an excessive cell proliferation and is the cause of cancer. The key position of the cyclin‐dependent kinases (CDKs) and their direct partners, as well as the fact that the majority of malign illnesses show defects in at least one of these key players of the cell cycle, is of great interest for the development of low‐molecular‐weight CDK inhibitors. In this Review an overview of the different structural classes of ATP‐competitive inhibitors of CDKs are given, whose devlopment was aimed at battling cancer. The Review shows how far the development of selective CDK inhibitors has progressed and to what extent the expectations for such drugs have so far been fulfilled.

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Crossref · 10.1002/anie.200200540

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Metadata

Authors
Huwe, A., Mazitschek, R., & Giannis, A.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2003-05-14
Volume
42
Issue
19
Pages
2122-2138
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2166317851
Cited by
181
References
10
FWCI
9.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Small Molecules as Inhibitors of Cyclin‐Dependent Kinases. https://app.cochat.ai/papers/10.1002/anie.200200540
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Huwe, A., Mazitschek, R., & Giannis, A. (2003). Small Molecules as Inhibitors of Cyclin‐Dependent Kinases. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200200540

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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.