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针对c-Src酪氨酸激酶抑制剂的对接、三维定量构效关系研究及计算机辅助药物代谢动力学预测

Docking, 3D-QSAR studies and in silico ADME prediction on c-Src tyrosine kinase inhibitors.

作者信息

Tintori Cristina, Magnani Matteo, Schenone Silvia, Botta Maurizio

机构信息

Dipartimento Farmaco Chimico Tecnologico, Università degli Studi di Siena, Via Alcide de Gasperi, 2, I-53100 Siena, Italy.

出版信息

Eur J Med Chem. 2009 Mar;44(3):990-1000. doi: 10.1016/j.ejmech.2008.07.002. Epub 2008 Jul 11.

DOI:10.1016/j.ejmech.2008.07.002
PMID:18722033
Abstract

Docking simulations and three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis were performed on a wide set of c-Src inhibitors. The study was conducted using a structure-based alignment and by applying the GRID/GOLPE approach. The present 3D-QSAR investigation proved to be of good statistical value, displaying r(2), q(2) and cross-validation SDEP values of 0.94, 0.84 and 0.42, respectively. Moreover, such a model also proved to be capable of predicting the activities of an external test set of compounds. The availability of the 3D structure of the target made possible the interpretation of steric and electrostatic maps within the binding site environment and provided useful insight into the structural requirements for inhibitory activity against c-Src. Two regions whose occupation by hydrophobic portions of ligands would favourably affect the activity were clearly identified. Moreover, hydrogen bond interactions involving residues Met343, Asp406 and Ser347 emerged as playing a key role in determining the affinity of the active inhibitors toward c-Src. Furthermore, the inhibitors bearing a basic nitrogen provided enhanced potency through protonation and salt bridge formation with Asp350. A preliminary pharmacokinetic profile of the molecules under analysis was also drawn on the basis of Volsurf predictions.

摘要

对一系列广泛的c-Src抑制剂进行了对接模拟和三维定量构效关系(3D-QSAR)分析。该研究采用基于结构的比对并应用GRID/GOLPE方法进行。目前的3D-QSAR研究证明具有良好的统计价值,其r(2)、q(2)和交叉验证SDEP值分别为0.94、0.84和0.42。此外,该模型还证明能够预测一组外部化合物测试集的活性。目标三维结构的可用性使得能够解释结合位点环境内的空间和静电图谱,并为针对c-Src的抑制活性的结构要求提供了有用的见解。明确确定了两个区域,配体的疏水部分占据这些区域将有利于活性。此外,涉及残基Met343、Asp406和Ser347的氢键相互作用在决定活性抑制剂对c-Src的亲和力方面起着关键作用。此外,带有碱性氮的抑制剂通过质子化和与Asp350形成盐桥提高了效力。还根据Volsurf预测绘制了所分析分子的初步药代动力学概况。

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