Identification of novel Src, Bcl-2 dual inhibitors by the pharmacophore model, molecular docking, and molecular dynamics simulations

被引:2
|
作者
Zhang, Li-chuan [1 ]
Zhang, Hao-ran [1 ]
Gao, Cheng-long [1 ]
Yu, Ri-lei [2 ]
Kang, Cong-min [1 ]
机构
[1] Qingdao Univ Sci & Technol, Coll Chem Engn, Qingdao 266042, Peoples R China
[2] Ocean Univ China, Sch Med & Pharm, Key Lab Marine Drugs, Chinese Minist Educ, Qingdao 266003, Peoples R China
基金
中国国家自然科学基金;
关键词
ANTITUMOR-ACTIVITY; DISCOVERY; TARGETS; POTENT; AGENTS; FAMILY; TOOL;
D O I
10.1039/d1nj02147h
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Src is a tyrosine kinase that plays a key role in cell proliferation, migration, invasion, and angiogenesis. Bcl-2 is an essential checkpoint for apoptosis, and its overexpression is important for tumor cells to escape apoptosis and further acquire drug resistance. The recent studies have shown that Src and Bcl-2 have synergistic effects in suppressing stem cell-like breast cancer. In this study, Src and Bcl-2 dual-target inhibitors were identified by computer-aided drug design. Six million molecules were screened by the pharmacophore model and molecular docking. Finally, 175 compounds were obtained. Based on the studies of Src and Bcl-2 inhibitors, the structural modification of the first ranked compound obtained QST101. Molecular dynamics simulations of compound 1 and QST101 showed that both compounds bind stably to both proteins, with QST101 having a stronger binding capacity than compound 1. The analysis of protein-compound interactions showed that QST101 has good properties and can be a potential inhibitor of Src and Bcl-2 receptors.
引用
收藏
页码:14063 / 14069
页数:7
相关论文
共 50 条
  • [1] Identification of Novel Src Inhibitors: Pharmacophore-Based Virtual Screening, Molecular Docking and Molecular Dynamics Simulations
    Zhang, Yi
    Zhang, Ting-jian
    Tu, Shun
    Zhang, Zhen-hao
    Meng, Fan-hao
    [J]. MOLECULES, 2020, 25 (18):
  • [2] In silico approaches for the identification of novel ULK1 inhibitors: pharmacophore model, molecular docking and molecular dynamics simulations
    Yang, Yifan
    Ji, Cuicui
    Zhong, Qidi
    Yan, Hong
    Wang, Juan
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2023,
  • [3] Identification of novel PPARα/γ dual agonists by pharmacophore screening, docking analysis, ADMET prediction and molecular dynamics simulations
    Feng, Xiao-Yan
    Jia, Wen-Qing
    Liu, Xin
    Jing, Zhi
    Liu, Ya-Ya
    Xu, Wei-Ren
    Cheng, Xian-Chao
    [J]. COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2019, 78 : 178 - 189
  • [4] Identification of novel BRD4 inhibitors by pharmacophore screening, molecular docking, and molecular dynamics simulation
    Dong, Junmin
    Wang, Xinghe
    [J]. JOURNAL OF MOLECULAR STRUCTURE, 2023, 1274
  • [5] Design and screening of SGK1, Src dual inhibitors using pharmacophore models, molecular docking, and molecular dynamics simulation
    Sun, Chuan-ce
    Zhang, Li-chuan
    Gao, Cheng-long
    Zhang, Hao-ran
    Yu, Ri-lei
    Kang, Cong-min
    [J]. NEW JOURNAL OF CHEMISTRY, 2020, 44 (41) : 17815 - 17820
  • [6] Pharmacophore development, drug-likeness analysis, molecular docking, and molecular dynamics simulations for identification of new CK2 inhibitors
    Hamma, Sara
    Bouaziz-Terrachet, Souhila
    Meghnem, Rosa
    Meziane, Dalila
    [J]. JOURNAL OF MOLECULAR MODELING, 2020, 26 (06)
  • [7] Pharmacophore development, drug-likeness analysis, molecular docking, and molecular dynamics simulations for identification of new CK2 inhibitors
    Sara Hammad
    Souhila Bouaziz-Terrachet
    Rosa Meghnem
    Dalila Meziane
    [J]. Journal of Molecular Modeling, 2020, 26
  • [8] Design and screening of FAK, CDK 4/6 dual inhibitors by pharmacophore model, molecular docking, and molecular dynamics simulation
    Sun, Chuance
    Feng, Lijun
    Sun, Xiaohua
    Yu, Rilei
    Kang, Congmin
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2021, 39 (15): : 5358 - 5367
  • [9] Pharmacophore screening, molecular docking, ADMET prediction and MD simulations for identification of ALK and MEK potential dual inhibitors
    Zhang, Haoran
    Zhang, Lichuan
    Gao, Chenglong
    Yu, Rilei
    Kang, Congmin
    [J]. JOURNAL OF MOLECULAR STRUCTURE, 2021, 1245
  • [10] Discovery of novel inhibitors of Mycobacterium tuberculosis MurG: homology modelling, structure based pharmacophore, molecular docking, and molecular dynamics simulations
    Saxena, Shalini
    Abdullah, Maaged
    Sriram, Dharmarajan
    Guruprasad, Lalitha
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2018, 36 (12): : 3184 - 3198