3D-QSAR study of Chk1 kinase inhibitors based on docking

被引:6
|
作者
Zhao, Lingzhou [1 ]
Liu, Yongjuan [1 ]
Hu, Shiyuan [1 ]
Zhang, Huabei [1 ]
机构
[1] Beijing Normal Univ, Key Lab Radiopharmaceut, Minist Educ, Coll Chem, Beijing 100875, Peoples R China
关键词
CHK1; docking; CoMFA; CoMSIA; 3D-QSAR; PARTIAL LEAST-SQUARES; BIOLOGICAL EVALUATION; FORCE-FIELD; POTENT; PROTEINS; COMFA; DERIVATIVES; VALIDATION; BINDING; DESIGN;
D O I
10.1007/s00894-012-1363-x
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Checkpoint kinase 1 (Chk1), a kind of a serine/threonine protein kinase, plays a significant role in DNA damage-induced checkpoints. Chk1 inhibitors have been demonstrated to abrogate the S and G2 checkpoints and disrupt the DNA repair process, which results in immature mitotic progression, mitotic catastrophe, and cell death. Normal cells remain at the G1 phase via p53 to repair their DNA damages, and are less influenced by the abrogation of S and G2 checkpoint. Therefore, selective inhibitors of Chk1 may be of great therapeutic value in cancer treatment. In this paper, in order to understand the structure-activity relationship of macro-cyclic urea Chk1 inhibitors, a study combined molecular docking and 3D-QSAR modeling was carried out, which resulted in two substructure-based 3D-QSAR models, including the CoMFA model (r(2), 0.873; q(2), 0.572) and CoMSIA model (r(2), 0.897; q(2), 0.599). The detailed microscopic structures of Chk1 binding with inhibitors were performed by molecular docking. Two docking based 3D-QSAR models were developed (CoMFA with r(2), 0.887; q(2), 0.501; CoMSIA with r(2), 0.872; q(2), 0.520). The contour maps obtained from the 3D-QSAR models in combination with the docked binding structures would be helpful to better understand the structure-activity relationship. All the conclusions drawn from both the 3D-QSAR contour maps and molecular docking were in accordance with the experimental activity dates. The results suggested that the developed models and the obtained CHk1 inhibitor binding structures might be reliable to predict the activity of new inhibitors and reasonable for the future drug design.
引用
收藏
页码:3669 / 3694
页数:26
相关论文
共 50 条
  • [21] 3D-QSAR (CoMFA, CoMSIA) and Molecular Docking Studies on Histone Deacetylase 1 Selective Inhibitors
    Abdizadeh, Tooba
    Ghodsi, Razieh
    Hadizadeh, Farzin
    RECENT PATENTS ON ANTI-CANCER DRUG DISCOVERY, 2017, 12 (04) : 365 - 383
  • [22] Docking-based 3D-QSAR Studies of Phosphodiesterase 9A Inhibitors
    Tan, Changji
    Wu, Yinuo
    Shao, Yongxian
    Luo, Haibin
    Zheng, Xuehua
    Wang, Laiyou
    LETTERS IN DRUG DESIGN & DISCOVERY, 2017, 14 (09) : 986 - 998
  • [23] Docking and 3D-QSAR Analysis on a Series of Pyridone-based EZH2 Inhibitors
    Xiong Di
    Ma Yu-Zhuo
    Zhao Zhong-Xiang
    Liu Ying-Xiang
    Xiang Yao
    CHINESE JOURNAL OF STRUCTURAL CHEMISTRY, 2017, 36 (04) : 575 - 588
  • [24] Studies on the inhibitory models of pyrazoline derivatives as EGFR kinase inhibitors by 3D-QSAR and molecular docking
    Li, Peizhen
    Tian, Yueli
    Zhai, Honglin
    Deng, Fangfang
    Xie, Meihong
    Zhang, Xiaoyun
    MEDICINAL CHEMISTRY RESEARCH, 2014, 23 (06) : 2869 - 2879
  • [25] Docking-based 3D-QSAR and pharmacophore studies on diarylpyrimidines as non-nucleoside inhibitors of HIV-1 reverse transcriptase
    Liu, Genyan
    Wan, Youlan
    Wang, Wenjie
    Fang, Sai
    Gu, Shuangxi
    Ju, Xiulian
    MOLECULAR DIVERSITY, 2019, 23 (01) : 107 - 121
  • [26] 3D-QSAR and docking study on 3-benzimidazol-2-ylhydroquinolin-2-one derivatives as VEGFR-2 tyrosine kinase inhibitors
    Kang, Cong-min
    Liu, Dong-qing
    Wang, Xin-yu
    Dai, Ying-jie
    Cheng, Jia-gao
    Lv, Ying-tao
    MEDICINAL CHEMISTRY RESEARCH, 2015, 24 (03) : 934 - 943
  • [27] 3D-QSAR and docking studies on pyridopyrazinones as BRAF inhibitors
    Yong Ai
    Shao-Teng Wang
    Chu Tang
    Ping-Hua Sun
    Fa-Jun Song
    Medicinal Chemistry Research, 2011, 20 : 1298 - 1317
  • [28] 3D-QSAR and docking studies on pyridopyrazinones as BRAF inhibitors
    Ai, Yong
    Wang, Shao-Teng
    Tang, Chu
    Sun, Ping-Hua
    Song, Fa-Jun
    MEDICINAL CHEMISTRY RESEARCH, 2011, 20 (08) : 1298 - 1317
  • [29] Combined 3D-QSAR Modeling and Molecular Docking Studies on Pyrrole-Indolin-2-ones as Aurora A Kinase Inhibitors
    Ai, Yong
    Wang, Shao-Teng
    Sun, Ping-Hua
    Song, Fa-Jun
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2011, 12 (03): : 1605 - 1624
  • [30] Combined 3D-QSAR Modeling and Molecular Docking Study on Quinoline Derivatives as Inhibitors of P-selectin
    Zeng, Huahui
    Cao, Ran
    Zhang, Huabei
    CHEMICAL BIOLOGY & DRUG DESIGN, 2009, 74 (06) : 596 - 610