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Tyrphostins I: synthesis and biological activity of protein tyrosine kinase inhibitors

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Gazit, Aviv, Yaish, Pnina, Gilon, Chaim, Levitzki, Alexander·1989·Journal of Medicinal Chemistry

Abstract

A novel class of low molecular weight protein tyrosine kinase inhibitors is described. These compounds constitute a systematic series of molecules with a progressive increase in affinity toward the substrate site of the EGF receptor kinase domain. These competitive inhibitors also effectively block the EGF-dependent autophosphorylation of the receptor. The potent EGF receptor kinase blockers examined were found to competitively inhibit the homologous insulin receptor kinase at 10(2)-10(3) higher inhibitor concentrations in spite of the significant homology between these protein tyrosine kinases. These results demonstrate the ability to synthesize selective tyrosine kinase inhibitors. The most potent EGF receptor kinase inhibitors also inhibit the EGF-dependent proliferation of A431/clone 15 cells with little or no effect on EGF independent cell growth. These results demonstrate the potential use of protein tyrosine kinase inhibitors as selective antiproliferative agents for proliferative diseases caused by the hyperactivity of protein tyrosine kinases. We have suggested the name "tyrphostins" for this class of antiproliferative compounds which act as protein tyrosine kinase blockers.

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Metadata

Authors
Gazit, A., Yaish, P., Gilon, C., & Levitzki, A.
Venue
Journal of Medicinal Chemistry
Published
1989-10
Volume
32
Issue
10
Pages
2344-2352
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W1966112698
Cited by
600
References
0
FWCI
7.69
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tyrphostins I: synthesis and biological activity of protein tyrosine kinase inhibitors. https://app.cochat.ai/papers/10.1021/jm00130a020
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Gazit, A., Yaish, P., Gilon, C., & Levitzki, A. (1989). Tyrphostins I: synthesis and biological activity of protein tyrosine kinase inhibitors. Journal of Medicinal Chemistry. https://doi.org/10.1021/jm00130a020

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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.