Rational design of novel potential EGFR inhibitors by 3D-QSAR, molecular docking, molecular dynamics simulation, and pharmacokinetics studies

被引:8
|
作者
El Khatabi, Khalil [1 ]
El-mernissi, Reda [1 ]
Moukhliss, Youness [1 ]
Hajji, Halima [1 ]
Rehman, Hafiz Muzzammel [2 ,3 ]
Yadav, Rohitash [4 ]
Lakhlifi, Tahar [1 ]
Ajana, Mohammed Aziz [1 ]
Bouachrine, Mohammed [1 ,5 ]
机构
[1] Moulay Ismail Univ, Fac Sci, Mol Chem & Nat Subst Lab, Meknes 50000, Morocco
[2] Alnoorians Grp Inst, 55 Elahi Bukhsh Pk Amir Rd, Lahore, Pakistan
[3] Univ Punjab, Sch Biochem & Biotechnol, Lahore, Punjab, Pakistan
[4] All India Inst Med Sci, Dept Pharmacol, Rishikesh, Uttarakhand, India
[5] Sultan Moulay Sliman Univ, EST Khenifra, Beni Mellal 54000, Morocco
来源
CHEMICAL DATA COLLECTIONS | 2022年 / 39卷
关键词
EGFR; 3D-QSAR; Molecular dynamics simulation; ADMET prediction; M; KINASE INHIBITORS; OPTIMIZATION; VALIDATION;
D O I
10.1016/j.cdc.2022.100851
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The epidermal growth factor receptor (EGFR) is one of the most attractive drug targets against the human pancreas cancer cell line (Panc-1). In this research, forty xanthine derivatives previously identified as novel potential EGFR inhibitors were subjected to 3D-QSAR studies in order to design new compounds with high predicted activity. The generated models showed satisfactory statistical results and provided useful insights by analyzing the graphical contour maps, revealing the structural requirements that influence the activity. Consequently, four new compounds with high inhibitory activity were designed. Subsequently, molecular docking and molecular dynamics (MD) simulations of 100 ns were employed to investigate the interaction mechanism and conformational changes of the newly designed compounds at the binding site of EGFR. Moreover, these compounds were checked for in-silico pharmacokinetics prediction parameters for wet-lab applicability, showing good ADMET properties and bioavailability. The present findings might ultimately contribute to the future development of potent EGFR inhibitors.
引用
下载
收藏
页数:14
相关论文
共 50 条
  • [21] Benzimidazole Derivatives in Identifying Novel Acetylcholinesterase Inhibitors: A Combination of 3D-QSAR, Docking and Molecular Dynamics Simulation
    El Khatabi, K.
    El-Mernissi, R.
    Aanouz, I.
    Ajana, M. A.
    Lakhlifi, T.
    Shahinozzaman, M.
    Bouachrine, M.
    PHYSICAL CHEMISTRY RESEARCH, 2022, 10 (02): : 237 - 249
  • [22] Molecular Docking, 3D-QSAR and Molecular Dynamics Simulation Studies of Substituted Pyrimidines as Selective Covalent Janus Kinase 3 Inhibitors
    蔡晓力
    马玉卓
    赵钟祥
    张玲
    刘鹰翔
    Chinese Journal of Structural Chemistry, 2018, 37 (06) : 839 - 853
  • [23] Molecular Docking, 3D-QSAR and Molecular Dynamics Simulation Studies of Substituted Pyrimidines as Selective Covalent Janus Kinase 3 Inhibitors
    Cai Xiao-Li
    Ma Yu-Zhuo
    Zhao Zhong-Xiang
    Zhang Ling
    Liu Ying-Xiang
    CHINESE JOURNAL OF STRUCTURAL CHEMISTRY, 2018, 37 (06) : 839 - 853
  • [24] Discovery of Novel Lysine Methyltransferase (SMYD3) Inhibitors by Utilizing 3D-QSAR, Molecular Docking and Molecular Dynamics Simulation
    Shi, YuanZe
    Chen, XiaoDie
    Li, JiaLi
    Yu, Na
    Wu, JinPing
    Zhao, XueMin
    Shu, Mao
    Lin, ZhiHua
    LETTERS IN DRUG DESIGN & DISCOVERY, 2024, 21 (10) : 1728 - 1744
  • [25] Study on β-glucosidase activators by 3D-QSAR, molecular docking and molecular dynamics simulation
    Jiang, Guilan
    Li, Silin
    Zhu, Jingyi
    Li, Binbin
    Ding, Zhuhong
    JOURNAL OF MOLECULAR LIQUIDS, 2024, 404
  • [26] 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
  • [27] Studies on the inhibitory models of pyrazoline derivatives as EGFR kinase inhibitors by 3D-QSAR and molecular docking
    Peizhen Li
    Yueli Tian
    Honglin Zhai
    Fangfang Deng
    Meihong Xie
    Xiaoyun Zhang
    Medicinal Chemistry Research, 2014, 23 : 2869 - 2879
  • [28] 3D-QSAR, molecular docking and molecular dynamics simulations of oxazepane amidoacetonitrile derivatives as novel DPPI inhibitors
    Huang, Lei-Lei
    Han, Jie
    Ran, Jian-Xiong
    Chen, Xiu-Ping
    Wang, Zhong-Hua
    Wu, Fan-Hong
    JOURNAL OF MOLECULAR STRUCTURE, 2018, 1168 : 223 - 233
  • [29] Investigations of FAK inhibitors: a combination of 3D-QSAR, docking, and molecular dynamics simulations studies
    Cheng, Peng
    Li, Jiaojiao
    Wang, Juan
    Zhang, Xiaoyun
    Zhai, Honglin
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2018, 36 (06): : 1529 - 1549
  • [30] Identification of novel acetylcholinesterase inhibitors through 3D-QSAR, molecular docking, and molecular dynamics simulation targeting Alzheimer's disease
    El Khatabi, Khalil
    El-Mernissi, Reda
    Aanouz, Ilham
    Ajana, Mohammed Aziz
    Lakhlifi, Tahar
    Khan, Abbas
    Wei, Dong-Qing
    Bouachrine, Mohammed
    JOURNAL OF MOLECULAR MODELING, 2021, 27 (10)