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Structure-Based Generation of a New Class of Potent Cdk4 Inhibitors: New de Novo Design Strategy and Library Design
Open accessAbstract
As a first step in structure-based design of highly selective and potent Cdk4 inhibitors, we performed structure-based generation of a novel series of Cdk4 inhibitors. A Cdk4 homology model was constructed according to X-ray analysis of an activated form of Cdk2. Using this model, we applied a new de novo design strategy which combined the de novo design program LEGEND with our in-house structure selection supporting system SEEDS to generate new scaffold candidates. In this way, four classes of scaffold candidates including diarylurea were identified. By constructing diarylurea informer libraries based on the structural requirements of Cdk inhibitors in the ATP binding pocket of the Cdk4 model, we were able to identify a potent Cdk4 inhibitor N-(9-oxo-9H-fluoren-4-yl)-N'-pyridin-2-ylurea 15 (IC(50) = 0.10 microM), together with preliminary SAR. We performed a docking study between 15 and the Cdk4 model and selected a reasonable binding mode which is consistent with the SAR. Further modification based on the proposed binding mode provided a more potent compound, N-[(9bR)-5-oxo-2,3,5,9b-tetrahydro-1H-pyrrolo[2,1-a]isoindol-9-yl]-N'-pyridin-2-ylurea 26a (IC(50) = 0.042 microM), X-ray analysis of which was accomplished by the soaking method. The predicted binding mode of 15 in Cdk4 was validated by X-ray analysis of the Cdk2-26a complex.
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The retinoblastoma protein and cell cycle control
Weinberg, R. A. (1995) · Cell · doi:10.1016/0092-8674(95)90385-2 · Cited by 4,862
Brotherton, D. H., Dhanaraj, V., Wick, S., Brizuela, L., Domaille, P. J., Volyanik, E., Xu, X., Parisini, E., Smith, B. O., Archer, S. J., et al. (1998) · Nature · doi:10.1038/26164 · Cited by 210
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Combining docking and molecular dynamic simulations in drug design
Alonso, H., Bliznyuk, A. A., & Gready, J. E. (2006) · Medicinal Research Reviews · doi:10.1002/med.20067 · Cited by 759
Pharmacological inhibitors of cyclin-dependent kinases
Knockaert, M., Greengard, P., & Meijer, L. (2002) · Trends in Pharmacological Sciences · doi:10.1016/s0165-6147(02)02071-0 · Cited by 537
Wyatt, P. G., Woodhead, A. J., Berdini, V., Boulstridge, J. A., Carr, M. G., Cross, D. M., Davis, D. J., Devine, L. A., Early, T. R., Feltell, R. E., et al. (2008) · Journal of Medicinal Chemistry · doi:10.1021/jm800382h · Cited by 340
Utility of homology models in the drug discovery process
Hillisch, A., Pineda, L. F., & Hilgenfeld, R. (2004) · Drug Discovery Today · doi:10.1016/s1359-6446(04)03196-4 · Cited by 310
McGovern, S. L., & Shoichet, B. K. (2003) · Journal of Medicinal Chemistry · doi:10.1021/jm0300330 · Cited by 276
Metadata
- Authors
- Honma, T., Hayashi, K., Aoyama, T., Hashimoto, N., Machida, T., Fukasawa, K., Iwama, T., Ikeura, C., Ikuta, M., Suzuki-Takahashi, I., Iwasawa, Y., Hayama, T., Nishimura, S., & Morishima, H.
- Venue
- Journal of Medicinal Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2001-12-01
- Volume
- 44
- Issue
- 26
- Pages
- 4615-4627
- ISSN
- 0022-2623 (ISSN-L)
- 1520-4804
- OpenAlex
- W2036034114
- Cited by
- 203
- References
- 2
- FWCI
- 16.89
- Type
- journal article
- Language
- en
- Open access
- green
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