首页> 美国卫生研究院文献>International Journal of Molecular Sciences >Molecular Modeling Studies of 45-Dihydro-1H-pyrazolo43-h quinazoline Derivatives as Potent CDK2/Cyclin A Inhibitors Using 3D-QSAR and Docking
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Molecular Modeling Studies of 45-Dihydro-1H-pyrazolo43-h quinazoline Derivatives as Potent CDK2/Cyclin A Inhibitors Using 3D-QSAR and Docking

机译:使用3D-QSAR和对接作用的45-二氢-1H-吡唑并43-h喹唑啉衍生物作为有效CDK2 / Cyclin A抑制剂的分子模型研究

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摘要

CDK2/cyclin A has appeared as an attractive drug targets over the years with diverse therapeutic potentials. A computational strategy based on comparative molecular fields analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) followed by molecular docking studies were performed on a series of 4,5-dihydro-1H-pyrazolo[4,3-h]quinazoline derivatives as potent CDK2/cyclin A inhibitors. The CoMFA and CoMSIA models, using 38 molecules in the training set, gave r2cv values of 0.747 and 0.518 and r2 values of 0.970 and 0.934, respectively. 3D contour maps generated by the CoMFA and CoMSIA models were used to identify the key structural requirements responsible for the biological activity. Molecular docking was applied to explore the binding mode between the ligands and the receptor. The information obtained from molecular modeling studies may be helpful to design novel inhibitors of CDK2/cyclin A with desired activity.
机译:多年来,CDK2 /细胞周期蛋白A已作为具有多种治疗潜力的有吸引力的药物靶标出现。对一系列4,5-二氢-1H-吡唑并[4,3-h]喹唑啉衍生物进行了基于比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)然后进行分子对接研究的计算策略作为有效的CDK2 / cyclin A抑制剂。使用训练集中的38个分子的CoMFA和CoMSIA模型分别得出r 2 cv值为0.747和0.518,r 2 值为0.970和0.934。由CoMFA和CoMSIA模型生成的3D等高线图用于识别负责生物活性的关键结构要求。应用分子对接来探索配体与受体之间的结合模式。从分子模型研究中获得的信息可能有助于设计具有所需活性的新型CDK2 / cyclin A抑制剂。

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