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通过结合三维定量构效关系、分子对接和动力学模拟技术对CP-690550衍生物作为JAK3激酶抑制剂进行分子建模研究。

Molecular modeling study of CP-690550 derivatives as JAK3 kinase inhibitors through combined 3D-QSAR, molecular docking, and dynamics simulation techniques.

作者信息

Wang Jing Li, Cheng Li Ping, Wang Tian Chi, Deng Wei, Wu Fan Hong

机构信息

School of Chemical and Environmental Engineering, Shanghai Institute of Technology, Shanghai 201418, China.

School of Chemical and Environmental Engineering, Shanghai Institute of Technology, Shanghai 201418, China.

出版信息

J Mol Graph Model. 2017 Mar;72:178-186. doi: 10.1016/j.jmgm.2016.12.020. Epub 2017 Jan 4.

Abstract

To develop more potent JAK3 kinase inhibitors, a series of CP-690550 derivatives were investigated using combined molecular modeling techniques, such as 3D-QSAR, molecular docking and molecular dynamics (MD). The leave-one-out correlation (q) and non-cross-validated correlation coefficient (r) of the best CoMFA model are 0.715 and 0.992, respectively. The q and r values of the best CoMSIA model are 0.739 and 0.995, respectively. The steric, electrostatic, and hydrophobic fields played important roles in determining the inhibitory activity of CP-690550 derivatives. Some new JAK3 kinase inhibitors were designed. Some of them have better inhibitory activity than the most potent Tofacitinib (CP-690550). Molecular docking was used to identify some key amino acid residues at the active site of JAK3 protein. 10ns MD simulations were successfully performed to confirm the detailed binding mode and validate the rationality of docking results. The calculation of the binding free energies by MMPBSA method gives a good correlation with the predicted biological activity. To our knowledge, this is the first report on MD simulations and free energy calculations for this series of compounds. The combination results of this study will be valuable for the development of potent and novel JAK3 kinase inhibitors.

摘要

为开发更有效的JAK3激酶抑制剂,使用3D-QSAR、分子对接和分子动力学(MD)等组合分子建模技术研究了一系列CP-690550衍生物。最佳CoMFA模型的留一法相关系数(q)和非交叉验证相关系数(r)分别为0.715和0.992。最佳CoMSIA模型的q和r值分别为0.739和0.995。空间、静电和疏水场在确定CP-690550衍生物的抑制活性中起重要作用。设计了一些新的JAK3激酶抑制剂。其中一些具有比最有效的托法替布(CP-690550)更好的抑制活性。分子对接用于识别JAK3蛋白活性位点的一些关键氨基酸残基。成功进行了10ns的分子动力学模拟,以确认详细的结合模式并验证对接结果的合理性。通过MMPBSA方法计算结合自由能与预测的生物活性具有良好的相关性。据我们所知,这是关于该系列化合物的分子动力学模拟和自由能计算的首次报道。本研究的综合结果将对开发强效和新型JAK3激酶抑制剂具有重要价值。

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