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基于 1,4-二氢茚并[1,2-c]吡唑类 VEGFR-2 激酶抑制剂的三维定量构效关系建模和分子对接研究。

Combined 3D-QSAR modeling and molecular docking study on 1,4-dihydroindeno[1,2-c]pyrazoles as VEGFR-2 kinase inhibitors.

机构信息

Key Laboratory of radiopharmaceuticals of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, China.

出版信息

J Mol Graph Model. 2010 Aug 24;29(1):54-71. doi: 10.1016/j.jmgm.2010.04.004. Epub 2010 Apr 24.

Abstract

The vascular endothelial growth factor (VEGF) and its receptor tyrosine kinases VEGFR-2 are attractive targets for the development of novel anticancer agents. To understand the structure-activity correlation of 1,4-dihydroindeno[1,2-c]pyrazole-based VEGFR-2 inhibitors, we have carried out a combined molecular docking and three-dimensional quantitative structure-activity relationship (3D-QSAR) modeling study. The study has resulted in two types of satisfactory substructure-based 3D-QSAR models, including the CoMFA model (r(2), 0.931; q(2), 0.600) and CoMSIA model (r(2), 0.928; q(2), 0.569), for predicting the biological activity of new compounds. The detailed microscopic structures of VEGFR-2 binding with inhibitors have been studied by molecular docking. We have also developed docking based 3D-QSAR models (CoMFA with r(2), 0.958; q(2), 0.563; CoMSIA with r(2), 0.965; q(2), 0.567). The contour maps obtained from the 3D-QSAR models in combination with the docked binding structures help to better interpret the structure-activity relationship. All of the structural insights obtained from both the 3D-QSAR contour maps and molecular docking are consistent with the available experimental activity data. The satisfactory results strongly suggest that the developed 3D-QSAR models and the obtained VEGFR-2 inhibitor binding structures are reasonable for the prediction of the activity of new inhibitors and in future drug design.

摘要

血管内皮生长因子 (VEGF) 及其受体酪氨酸激酶 VEGFR-2 是开发新型抗癌药物的有吸引力的靶点。为了了解基于 1,4-二氢茚并[1,2-c]吡唑的 VEGFR-2 抑制剂的结构-活性关系,我们进行了组合分子对接和三维定量构效关系 (3D-QSAR) 建模研究。该研究产生了两种类型的令人满意的基于亚结构的 3D-QSAR 模型,包括 CoMFA 模型 (r(2),0.931;q(2),0.600) 和 CoMSIA 模型 (r(2),0.928;q(2),0.569),用于预测新化合物的生物活性。通过分子对接研究了 VEGFR-2 与抑制剂结合的详细微观结构。我们还开发了基于对接的 3D-QSAR 模型 (CoMFA 为 r(2),0.958;q(2),0.563;CoMSIA 为 r(2),0.965;q(2),0.567)。结合对接结合结构获得的 3D-QSAR 模型的等高线图有助于更好地解释结构-活性关系。从 3D-QSAR 等高线图和分子对接获得的所有结构见解与可用的实验活性数据一致。令人满意的结果强烈表明,开发的 3D-QSAR 模型和获得的 VEGFR-2 抑制剂结合结构可用于预测新抑制剂的活性和未来的药物设计。

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