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通过联合计算研究探索CX-4945衍生物作为蛋白激酶CK2抑制剂的卓越性能。

Exploring the prominent performance of CX-4945 derivatives as protein kinase CK2 inhibitors by a combined computational study.

作者信息

Wang Xuwen, Pan Peichen, Li Youyong, Li Dan, Hou Tingjun

机构信息

Institute of Functional Nano & Soft Materials (FUNSOM) and Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, Jiangsu 215123, China.

出版信息

Mol Biosyst. 2014 May;10(5):1196-210. doi: 10.1039/c4mb00013g.

Abstract

Protein kinase CK2, also known as casein kinase II, is related to various cellular events and is a potential target for numerous cancers. In this study, we attempted to gain more insight into the inhibition process of CK2 by a series of CX-4945 derivatives through an integrated computational study that combines molecular docking, molecular dynamics (MD) simulations, and binding free energy calculations. Based on the binding poses predicted by molecular docking, the MD simulations were performed to explore the dynamic binding processes for ten selected inhibitors. Then, both Molecular Mechanics/Poisson Boltzmann Surface Area (MM/PBSA) and Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) techniques were employed to predict the binding affinities of the studied systems. The predicted binding energies of the selected inhibitors correlate well with their experimental activities (r(2) = 0.78). The van der Waals term is the most favorable component for the total energies. The free energy decomposition on a per residue basis reveals that the residue K68 is essential for the electrostatic interactions between CK2 and the studied inhibitors and numerous residues, including L45, V53, V66, F113, M163 and I174, play critical roles in forming van der Waals interactions with the inhibitors. Finally, a number of new derivatives were designed and the binding affinity and the predicted binding free energies of each designed molecule were obtained on the basis of molecular docking and MM/PBSA. It is expected that our research will benefit the future rational design of novel and potent inhibitors of CK2.

摘要

蛋白激酶CK2,也被称为酪蛋白激酶II,与多种细胞事件相关,是众多癌症的潜在靶点。在本研究中,我们试图通过结合分子对接、分子动力学(MD)模拟和结合自由能计算的综合计算研究,更深入地了解一系列CX - 4945衍生物对CK2的抑制过程。基于分子对接预测的结合姿势,对十种选定的抑制剂进行MD模拟,以探索动态结合过程。然后,采用分子力学/泊松玻尔兹曼表面积(MM/PBSA)和分子力学/广义玻恩表面积(MM/GBSA)技术预测所研究体系的结合亲和力。所选抑制剂的预测结合能与其实验活性具有良好的相关性(r(2) = 0.78)。范德华项是总能量中最有利的组成部分。基于每个残基的自由能分解表明,残基K68对于CK2与所研究抑制剂之间的静电相互作用至关重要,包括L45、V53、V66、F113、M163和I174在内的许多残基在与抑制剂形成范德华相互作用中起关键作用。最后,设计了一些新的衍生物,并基于分子对接和MM/PBSA获得了每个设计分子的结合亲和力和预测的结合自由能。预计我们的研究将有助于未来合理设计新型高效的CK2抑制剂。

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