The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Synthesis and Biological Evaluations of 3-Substituted Indolin-2-ones: A Novel Class of Tyrosine Kinase Inhibitors That Exhibit Selectivity toward Particular Receptor Tyrosine Kinases
Open accessAbstract
3-Substituted indolin-2-ones have been designed and synthesized as a novel class of tyrosine kinase inhibitors which exhibit selectivity toward different receptor tyrosine kinases (RTKs). These compounds have been evaluated for their relative inhibitory properties against a panel of RTKs in intact cells. By modifying the 3-substituted indolin-2-ones, we have identified compounds which showed selective inhibition of the ligand-dependent autophosphorylation of various RTKs at submicromolar levels in cells. Structure-activity analysis for these compounds and their relative potency and selectivity to inhibit particular RTKs has determined that (1) 3-[(five-membered heteroaryl ring)methylidenyl]indolin-2-ones are highly specific against the VEGF (Flk-1) RTK activity, (2) 3-(substituted benzylidenyl)indolin-2-ones containing bulky group(s) in the phenyl ring at the C-3 position of indolin-2-ones showed high selectivity toward the EGF and Her-2 RTKs, and (3) the compound containing an extended side chain at the C-3 position of the indolin-2-one (16) exhibited high potency and selectivity when tested against the PDGF and VEGF (Flk-1) RTKs. Recent published crystallographic data for two of these 3-substituted indolin-2-ones provides a rationale to suggest that these compounds may bind in the ATP binding pocket of RTKs. The structure-activity analysis supports the use of subsets of these compounds as specific chemical leads for the development of RTK-specific drugs with broad application for the treatment of human diseases.
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Cites
Signal transduction by receptors with tyrosine kinase activity
Ullrich, A., & Schlessinger, J. (1990) · Cell · doi:10.1016/0092-8674(90)90801-k · Cited by 5,435
Mohammadi, M., McMahon, G., Sun, L., Tang, C., Hirth, P., Yeh, B. K., Hubbard, S. R., & Schlessinger, J. (1997) · Science · doi:10.1126/science.276.5314.955 · Cited by 1,097
Self-citationKinetics of Response in Lymphoid Tissues to Antiretroviral Therapy of HIV-1 Infection
Cavert, W., Notermans, D. W., Staskus, K., Wietgrefe, S. W., Zupancic, M., Gebhard, K., Henry, K., Zhang, Z.-Q., Mills, R., McDade, H., et al. (1997) · Science · doi:10.1126/science.276.5314.960 · Cited by 622
Bridges, A. J., Zhou, H., Cody, D. R., Rewcastle, G. W., McMichael, A., Showalter, H. D. H., Fry, D. W., Kraker, A. J., & Denny, W. A. (1996) · Journal of Medicinal Chemistry · doi:10.1021/jm9503613 · Cited by 320
Traxler, P., Bold, G., Frei, J., Lang, M., Lydon, N., Mett, H., Buchdunger, E., Meyer, T., Mueller, M., & Furet, P. (1997) · Journal of Medicinal Chemistry · doi:10.1021/jm970124v · Cited by 203
Klohs, W. D., Fry, D. W., & Kraker, A. J. (1997) · Current Opinion in Oncology · doi:10.1097/00001622-199711000-00012 · Cited by 106
Receptor tyrosine kinases as targets for inhibition of angiogenesis
Shawver, L. K., Lipson, K. E., Fong, T. A. T., McMahon, G., Plowman, G. D., & Strawn, L. M. (1997) · Drug Discovery Today · doi:10.1016/s1359-6446(96)10053-2 · Cited by 79
Self-citationProtein tyrosine kinase inhibitors in cancer treatment
Traxler, P. M. (1997) · Expert Opinion on Therapeutic Patents · doi:10.1517/13543776.7.6.571 · Cited by 75
Growth factors and tyrosine protein kinases in normal and malignant melanocytes
Halaban, R. (1991) · Cancer and Metastasis Reviews · doi:10.1007/bf00049410 · Cited by 59
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A Common Mechanism Underlying Promiscuous Inhibitors from Virtual and High-Throughput Screening
McGovern, S. L., Caselli, E., Grigorieff, N., & Shoichet, B. K. (2002) · Journal of Medicinal Chemistry · doi:10.1021/jm010533y · Cited by 1,042
VEGF is an essential mediator of the neurogenic and behavioral actions of antidepressants
Warner-Schmidt, J. L., & Duman, R. S. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610282104 · Cited by 438
Tyrosine kinase inhibitors: From rational design to clinical trials
Traxler, P., Bold, G., Buchdunger, E., Caravatti, G., Furet, P., Manley, P., O'Reilly, T., Wood, J., & Zimmermann, J. (2001) · Medicinal Research Reviews · doi:10.1002/med.1022 · Cited by 324
Metadata
- Authors
- Sun, L., Tran, N., Tang, F., App, H., Hirth, P., McMahon, G., & Tang, C.
- Venue
- Journal of Medicinal Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 1998-06-09
- Volume
- 41
- Issue
- 14
- Pages
- 2588-2603
- ISSN
- 0022-2623 (ISSN-L)
- 1520-4804
- OpenAlex
- W1969855058
- Cited by
- 489
- References
- 9
- FWCI
- 11.83
- Type
- journal article
- Language
- en
- Open access
- green
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