Design and screening of SGK1, Src dual inhibitors using pharmacophore models, molecular docking, and molecular dynamics simulation

被引:3
|
作者
Sun, Chuan-ce [1 ]
Zhang, Li-chuan [1 ]
Gao, Cheng-long [1 ]
Zhang, Hao-ran [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, Chinese Minist Educ, Key Lab Marine Drugs, Qingdao 266003, Peoples R China
基金
中国国家自然科学基金;
关键词
DERIVATIVES; PAIN;
D O I
10.1039/d0nj02249g
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Serum and glucocorticoid-regulated protein kinase 1 (SGK1) that can promote the growth of tumor cells is highly expressed in many tumors. Sarcoma gene (Src), a class of oncogenes, plays an important role in the pathogenesis of cancer and is an important kinase in tumor cell expression pathways. Research has shown that SGK1, as a key regulator, is involved in Src-induced tumor formation, and tumor progression can be inhibited by inhibiting SGK1/Src in combination. In this study, SGK1/Src dual inhibitors were designed by computer-aided drug design. Seven million molecules were screened via the pharmacophore model and molecular docking. Finally, 6 compounds were selected. The results of molecular dynamics simulation of compound 1 showed that it has good binding stability to both receptors. According to the binding site of compound 1 with two receptors, corresponding modifications were made, and 6 novel designed compounds were obtained. The docking energies of the novel designed compounds were lower than that of compound 1.
引用
收藏
页码:17815 / 17820
页数:6
相关论文
共 50 条
  • [21] Pharmacophore-based virtual screening, molecular docking, molecular dynamics simulation, and biological evaluation for the discovery of novel BRD4 inhibitors
    Yan, Guoyi
    Hou, Manzhou
    Luo, Jiang
    Pu, Chunlan
    Hou, Xueyan
    Lan, Suke
    Li, Rui
    [J]. CHEMICAL BIOLOGY & DRUG DESIGN, 2018, 91 (02) : 478 - 490
  • [22] Identification of promising DNA GyrB inhibitors for Tuberculosis using pharmacophore-based virtual screening, molecular docking and molecular dynamics studies
    Islam, Md Ataul
    Pillay, Tahir S.
    [J]. CHEMICAL BIOLOGY & DRUG DESIGN, 2017, 90 (02) : 282 - 296
  • [23] Pharmacophore-based virtual screening, molecular docking and molecular dynamics simulations study for the identification of LIM kinase-1 inhibitors
    Singh, Ravi
    Pokle, Ankit Vyankatrao
    Ghosh, Powsali
    Ganeshpurkar, Ankit
    Swetha, Rayala
    Singh, Sushil Kumar
    Kumar, Ashok
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2023, 41 (13): : 6089 - 6103
  • [24] Pharmacophore modelling, virtual screening and molecular docking studies on PLD1 inhibitors
    Behera, D. K.
    Behera, P. M.
    Acharya, L.
    Dixit, A.
    [J]. SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2017, 28 (12) : 991 - 1009
  • [25] Discovery of Potential Inhibitors of Aldosterone Synthase from Chinese Herbs Using Pharmacophore Modeling, Molecular Docking, and Molecular Dynamics Simulation Studies
    Luo, Ganggang
    Lu, Fang
    Qiao, Liansheng
    Chen, Xi
    Li, Gongyu
    Zhang, Yanling
    [J]. BIOMED RESEARCH INTERNATIONAL, 2016, 2016
  • [26] Pharmacophore Design, Virtual Screening, Molecular Docking and Optimization Approaches to Discover Potent Thrombin Inhibitors
    Loganathan, Chandrasekaran
    Sakkiah, Sugunadevi
    Lee, Keun Woo
    Kabilan, Senthamaraikannan
    Meganathan, Chandrasekaran
    [J]. COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2013, 16 (09) : 702 - 720
  • [27] Discovery of Potential Inhibitors of CDK1 by Integrating Pharmacophore-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation Studies, and Evaluation of Their Inhibitory Activity
    Teotia, Vineeta
    Jha, Prakash
    Chopra, Madhu
    [J]. ACS OMEGA, 2024, 9 (38): : 39873 - 39892
  • [28] Identification of mycobacterial Thymidylate kinase inhibitors: a comprehensive pharmacophore, machine learning, molecular docking, and molecular dynamics simulation studies
    Chikhale, Rupesh V.
    Pawar, Surbhi Pravin
    Kolpe, Mahima Sudhir
    Shinde, Omkar Dilip
    Dahlous, Kholood A.
    Mohammad, Saikh
    Patil, Pritee Chunarkar
    Bhowmick, Shovonlal
    [J]. MOLECULAR DIVERSITY, 2024, 28 (04) : 1947 - 1964
  • [29] Potential inhibitors for FKBP51: an in silico study using virtual screening, molecular docking and molecular dynamics simulation
    Barge, Sagar
    Jade, Dhananjay
    Ayyamperumal, Selvaraj
    Manna, Prasenjit
    Borah, Jagat
    Nanjan, Chandrasekar Moola Joghee
    Nanjan, Moola Joghee
    Talukdar, Narayan Chandra
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2022, 40 (24): : 13799 - 13811
  • [30] Exploring New Potential Pkcθ Inhibitors Using Pharmacophore Modeling, Molecular Docking Analysis, and Molecular Dynamics Simulations
    Yao, Yao
    Pang, Wen-Wei
    Hu, An-Zheng
    Chen, Hai-Yan
    Qi, Zhong-Quan
    [J]. LETTERS IN DRUG DESIGN & DISCOVERY, 2024,