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
  • [1] In silico design of novel FAK inhibitors using integrated molecular docking, 3D-QSAR and molecular dynamics simulation studies
    Shirvani, Pouria
    Fassihi, Afshin
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2022, 40 (13): : 5965 - 5982
  • [2] Design of Novel IRAK4 Inhibitors Using Molecular Docking, Dynamics Simulation and 3D-QSAR Studies
    Bhujbal, Swapnil P.
    He, Weijie
    Hah, Jung-Mi
    MOLECULES, 2022, 27 (19):
  • [3] Molecular docking, MM/GBSA and 3D-QSAR studies on EGFR inhibitors
    Bathini, Raju
    Sivan, Sree Kanth
    Fatima, Sabiha
    Manga, Vijjulatha
    JOURNAL OF CHEMICAL SCIENCES, 2016, 128 (07) : 1163 - 1173
  • [4] Molecular docking, MM/GBSA and 3D-QSAR studies on EGFR inhibitors
    RAJU BATHINI
    SREE KANTH SIVAN
    SABIHA FATIMA
    VIJJULATHA MANGA
    Journal of Chemical Sciences, 2016, 128 : 1163 - 1173
  • [5] Design of novel benzimidazole derivatives as potential α-amylase inhibitors using QSAR, pharmacokinetics, molecular docking, and molecular dynamics simulation studies
    Oussama Abchir
    Ossama Daoui
    Salah Belaidi
    Mebarka Ouassaf
    Faizan Abul Qais
    Souad ElKhattabi
    Said Belaaouad
    Samir Chtita
    Journal of Molecular Modeling, 2022, 28
  • [6] Studies on the antibacterial activities and molecular mechanism of GyrB inhibitors by 3D-QSAR, molecular docking and molecular dynamics simulation
    Wang, Fangfang
    Yang, Wei
    Zhou, Bo
    ARABIAN JOURNAL OF CHEMISTRY, 2022, 15 (06)
  • [7] Discovery of novel tubulin polymerization inhibitors by utilizing 3D-QSAR, molecular docking and molecular dynamics simulation
    Zhao, Xuemin
    Zhang, Rui
    Yu, Xiuyan
    Yu, Na
    Shi, Yuanze
    Shu, Mao
    Shen, Yan
    NEW JOURNAL OF CHEMISTRY, 2022, 46 (34) : 16426 - 16435
  • [8] 3D-QSAR, Molecular Docking and Molecular Dynamics Simulation of Pseudomonas aeruginosa LpxC Inhibitors
    Zuo, Ke
    Liang, Li
    Du, Wenyi
    Sun, Xin
    Liu, Wei
    Gou, Xiaojun
    Wan, Hua
    Hu, Jianping
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2017, 18 (05)
  • [9] Identification of potential tubulin polymerization inhibitors by 3D-QSAR, molecular docking and molecular dynamics
    Wang, Tian Chi
    Cheng, Li Ping
    Huang, Xin Ying
    Zhao, Lei
    Pang, Wan
    RSC ADVANCES, 2017, 7 (61): : 38479 - 38489
  • [10] 3D-QSAR, molecular docking and molecular dynamics studies of a series of RORγt inhibitors
    Wang, Fangfang
    Yang, Wei
    Shi, Yonghui
    Le, Guowei
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2015, 33 (09): : 1929 - 1940