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• Tian, Y
• Xu, J
• Li, Z
• Zhu, Z
• Zhang, J
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• Xu, J
• Li, Z
• Zhu, Z
• Zhang, J
• Wu, S
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• Xu, J
• Li, Z
• Zhu, Z
• Zhang, J
• Wu, S

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Int. J. Mol. Sci. 2011, 12(8), 5080-5097; doi:10.3390/ijms12085080

Article

Combined 3D-QSAR and Docking Modelling Study on Indolocarbazole Series Compounds as Tie-2 Inhibitors

Yuanxin Tian, Jian Xu, Zhonghuang Li, Zhengguang Zhu, Jiajie Zhang*  and Shuguang Wu

School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China

* Author to whom correspondence should be addressed.

Received: 24 May 2011; in revised form: 1 August 2011 / Accepted: 2 August 2011 / Published: 10 August 2011

(This article belongs to the Section Physical Chemistry, Theoretical and Computational Chemistry)

Download PDF Full-Text [851 KB, uploaded 10 August 2011 11:52 CEST]

Abstract: Tie-2, a kind of endothelial cell tyrosine kinase receptor, is required for embryonic blood vessel development and tumor angiogenesis. Several compounds that showed potent activity toward this attractive anticancer drug target in the assay have been reported. In order to investigate the structure-activity correlation of indolocarbazole series compounds and modify them to improve their selectivity and activity, 3D-QSAR models were built using CoMFA and CoMSIA methods and molecular docking was used to check the results. Based on the common sketch align, two good QSAR models with high predictabilities (CoMFA model: q² = 0.823, r² = 0.979; CoMSIA model: q² = 0.804, r² = 0.967) were obtained and the contour maps obtained from both models were applied to identify the influence on the biological activity. Molecular docking was then used to confirm the results. Combined with the molecular docking results, the detail binding mode between the ligands and Tie-2 was elucidated, which enabled us to interpret the structure-activity relationship. These satisfactory results not only offered help to comprehend the action mechanism of indolocarbazole series compounds, but also provide new information for the design of new potent inhibitors.

Keywords: Tie-2 kinase inhibitor; 3D-QSAR, CoMFA; CoMSIA; docking

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