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用于设计强效CDK2-细胞周期蛋白A抑制剂的虚拟筛选研究。

Virtual screening studies to design potent CDK2-cyclin A inhibitors.

作者信息

Vadivelan S, Sinha Barij Nayan, Irudayam Sheeba Jem, Jagarlapudi Sarma A R P

机构信息

GVK Biosciences Pvt. Ltd. S-1, Phase-1, T.I.E. Balanagar, Hyderabad-500037, India.

出版信息

J Chem Inf Model. 2007 Jul-Aug;47(4):1526-35. doi: 10.1021/ci7000742. Epub 2007 May 25.

DOI:10.1021/ci7000742
PMID:17523616
Abstract

The cell division cycle is controlled by cyclin-dependent kinases (CDK), which consist of a catalytic subunit (CDK1-CDK8) and a regulatory subunit (cyclin A-H). Pharmacophore analysis indicates that the best inhibitor model consists of (1) two hydrogen bond acceptors, (2) one hydrogen bond donor, and (3) one hydrophobic feature. The HypoRefine pharmacophore model gave an enrichment factor of 1.31 and goodness of fit score of 0.76. Docking studies were carried out to explore the structural requirements for the CDK2-cyclin A inhibitors and to construct highly predictive models for the design of new inhibitors. Docking studies demonstrate the important role of hydrogen bond and hydrophobic interactions in determining the inhibitor-receptor binding affinity. The validated pharmacophore model is further used for retrieving the most active hits/lead from a virtual library of molecules. Subsequently, docking studies were performed on the hits, and novel series of potent leads were suggested based on the interaction energy between CDK2-cyclin A and the putative inhibitors.

摘要

细胞分裂周期由细胞周期蛋白依赖性激酶(CDK)控制,CDK由一个催化亚基(CDK1 - CDK8)和一个调节亚基(细胞周期蛋白A - H)组成。药效团分析表明,最佳抑制剂模型包括:(1)两个氢键受体;(2)一个氢键供体;(3)一个疏水特征。HypoRefine药效团模型的富集因子为1.31,拟合优度评分为0.76。进行对接研究以探索CDK2 - 细胞周期蛋白A抑制剂的结构要求,并构建用于设计新抑制剂的高预测性模型。对接研究证明了氢键和疏水相互作用在确定抑制剂 - 受体结合亲和力方面的重要作用。经过验证的药效团模型进一步用于从虚拟分子库中检索最具活性的命中物/先导物。随后,对命中物进行对接研究,并根据CDK2 - 细胞周期蛋白A与推定抑制剂之间的相互作用能提出了一系列新的有效先导物。

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