高等学校化学学报 ›› 2013, Vol. 34 ›› Issue (5): 1226.doi: 10.7503/cjcu20120797

• 物理化学 • 上一篇    下一篇

人类谷胱甘肽硫转移酶家族等位基因蛋白B与抑制剂作用模型的理论研究

徐钰, 崔颖璐, 郑清川, 张红星, 孙家锺   

  1. 吉林大学理论化学研究所, 理论化学计算国家重点实验室, 长春130021
  • 收稿日期:2012-08-31 出版日期:2013-05-10 发布日期:2013-05-10
  • 通讯作者: 郑清川, 男, 博士, 教授, 博士生导师, 主要从事计算生物学研究. E-mail: zhengqc@jlu.edu.cn E-mail:zhengqc@jlu.edu.cn
  • 基金资助:

    国家自然科学基金(批准号: 20903045, 21273095)和高等学校博士点学科专项基金(批准号: 20070183046)资助.

Theoretical Studies on Interaction Modes Between Human GSTP1*B and Inhibitors

XU Yu, CUI Ying-Lu, ZHENG Qing-Chuan, ZHANG Hong-Xing, SUN Chia-Chung   

  1. State Key Laboratory of Theoretical and Computational Chemistry, Institute of Theoretical Chemistry, Jilin University, Changchun 130021, China
  • Received:2012-08-31 Online:2013-05-10 Published:2013-05-10
  • Contact: Zheng Qing-Chuan E-mail:zhengqc@jlu.edu.cn

摘要:

采用分子动力学模拟方法系统地研究了谷胱甘肽硫转移酶家族(Glutathione S-transferases, GSTs)的等位基因蛋白B(GSTP1*B)与抑制剂利尿酸(EA)以及EA的谷胱甘肽(GSH)共轭物EAG(I), EAG(O)的具体结合方式. 抑制剂及其谷胱甘肽共轭物与蛋白的相互作用能计算结果及分子动力学轨迹的统计分析结果表明, GSTP1*B与EA的谷胱甘肽共轭物的结合能力优于其与EA的结合能力, Phe8, Arg13, Trp38和Tyr108是作用过程中的关键残基, 对稳定抑制剂及其谷胱甘肽共轭物在GSTP1*B的G和H位点的构象具有重要的作用. 通过对构象的统计分析发现, 残基Phe8和Tyr108与GSTP1*B酶对抑制剂的选择性密切相关.

关键词: 谷胱甘肽硫转移酶, 分子动力学模拟, 结合模式, 利尿酸, 抑制剂

Abstract:

We constructed a high quality model of human GSTP1*B(glutathione S-transferases, Pi class *B variant) and revealed the interactions between protein and three inhibitors including ethacrynic acid(EA) and its conjugate of glutathione [EAG(I) and EAG(O)] to explore the structure-function relationship via molecular dynamics(MD) simulations. Based on the results of interaction energy caculation and the analysis of MD simulation trojactory, several critical residues of stablizing the structure of G- and H-site, including Phe8, Arg13, Trp38 and Tyr108, were identified. Our results also show that the conjutation of GSTP1*B protein may increase the binding ability of the inhibitor and the specific selectivity of Phe8 and Tyr108 to the substrate.

Key words: Glutathione S-transferas, Molecular dynamic simulation, Binding mode, Ethacrynic acid, Inhibitor

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