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通过三维定量构效关系(3D-QSAR)和分子动力学模拟对N-苯基嘧啶-2-胺对细胞周期蛋白依赖性激酶2(CDK2)和细胞周期蛋白依赖性激酶4(CDK4)的选择性进行表征的分子建模研究。

Molecular modeling studies to characterize N-phenylpyrimidin-2-amine selectivity for CDK2 and CDK4 through 3D-QSAR and molecular dynamics simulations.

作者信息

Chohan Tahir Ali, Chen Jiong-Jiong, Qian Hai-Yan, Pan You-Lu, Chen Jian-Zhong

机构信息

College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China.

出版信息

Mol Biosyst. 2016 Apr;12(4):1250-68. doi: 10.1039/c5mb00860c. Epub 2016 Feb 17.

Abstract

CDK2 is a promising target for the development of anti-cancer agents. It is not an easy task to design CDK2-selective inhibitors which do not exhibit activity for other CDK family members, particularly CDK4, due to a high degree of structural homology among CDK family members. In this study, 4-substituted N-phenylpyrimidin-2-amine derivatives as CDK2 inhibitors were examined to understand the selectivity mechanism against CDK4 using a combined approach of 3D-QSAR, molecular docking, MESP, MD simulations, and binding free energy calculations. 3D-QSAR models were developed to propose structural determinants for CDK2 and CDK4 inhibition. High q(2) and r(2) values for CoMFA and CoMSIA models based on both internal and external validations suggested that the generated 3D-QSAR models may exhibit good capability to predict bioactivities of inhibitors against CDK2 or CDK4. Electrostatic potentials on the molecular surface have been discussed in detail for determining the binding affinity of studied inhibitors by combining molecular docking with MESP and Mulliken charge analyses. Binding free energy calculations suggested that the residues Gln85, Asp86, and Lys89 of CDK2 would play a critical role in selective CDK2 inhibition. The electrostatic interactions of an inhibitor with Glu144 and Asn145 of CDK4 may predominately drive CDK4 inhibition. These findings may provide a better structural understanding of the mechanism of CDK2 selective inhibition. The results obtained in the current study may provide valuable guidelines for developing novel potent and selective CDK2 inhibitors.

摘要

细胞周期蛋白依赖性激酶2(CDK2)是开发抗癌药物的一个有前景的靶点。由于CDK家族成员之间存在高度的结构同源性,设计对其他CDK家族成员(尤其是CDK4)无活性的CDK2选择性抑制剂并非易事。在本研究中,通过三维定量构效关系(3D-QSAR)、分子对接、分子静电势(MESP)、分子动力学(MD)模拟和结合自由能计算等综合方法,研究了作为CDK2抑制剂的4-取代N-苯基嘧啶-2-胺衍生物,以了解其对CDK4的选择性机制。建立了3D-QSAR模型,以提出CDK2和CDK4抑制的结构决定因素。基于内部和外部验证的比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)模型的高q(2)和r(2)值表明,所生成的3D-QSAR模型可能具有良好的预测抑制剂对CDK2或CDK4生物活性的能力。通过将分子对接与MESP和Mulliken电荷分析相结合,详细讨论了分子表面的静电势,以确定所研究抑制剂的结合亲和力。结合自由能计算表明,CDK2的Gln85、Asp86和Lys89残基在选择性抑制CDK2中起关键作用。抑制剂与CDK4的Glu144和Asn145的静电相互作用可能主要驱动CDK4的抑制。这些发现可能为CDK2选择性抑制机制提供更好的结构理解。本研究获得的结果可能为开发新型高效且选择性的CDK2抑制剂提供有价值的指导。

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