Pharmacophore screening, molecular docking, ADMET prediction and MD simulations for identification of ALK and MEK potential dual inhibitors

被引:11
|
作者
Zhang, Haoran [1 ]
Zhang, Lichuan [1 ]
Gao, Chenglong [1 ]
Yu, Rilei [2 ]
Kang, Congmin [1 ]
机构
[1] Qingdao Univ Sci & Technol, Coll Chem Engn, Qingdao 266042, Peoples R China
[2] Ocean Univ China, Key Lab Marine Drugs, Chinese Minist Educ, Sch Med & Pharm, Qingdao 266003, Peoples R China
基金
中国国家自然科学基金;
关键词
NSCLC; ALK; Pharmacophore; Molecular docking; Molecular dynamics; ADMET prediction; CELL LUNG-CANCER; FORCE-FIELDS; RESISTANCE; PROTEIN; SOLUBILITY; CRIZOTINIB; DISCOVERY; STRATEGY; PATHWAY;
D O I
10.1016/j.molstruc.2021.131066
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Anaplastic lymphoma kinase (ALK) fusion gene is a common driver gene in non-small cell lung cancer (NSCLC). The activation of mitogen-activated protein kinase (MAPK) and other related signaling pathways cause the proliferation of cancer cells. Mitogen-activated protein kinase kinase (MAPKK, also known as MEK) is a member of the ALK-MAPK signaling cascade. Recent studies have found that the drug resistance in ALK-positive NSCLC is highly dependent on the activation of the MAPK pathway, and the combined inhibition of ALK and MEK can delay or even eliminate the resistance. In this work, dual ALK/MEK inhibitors were designed through computer-aided drug design (CADD). Ten million molecules from ZINC were screened through pharmacophore models, ADMET prediction and molecular docking. Finally, 35 hit compounds were obtained. Among them, compound 1 has the highest dual inhibitory potential. The results of molecular docking, ADMET prediction and molecular dynamics (MD) simulations show that compound 1 has good potential inhibitory ability to both ALK and MEK, and it also has good druggability. We further modified the structure of compound 1 , and two new compounds with significantly improved binding affinity were obtained. (c) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] 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
  • [2] Identification of Potential MEK1 Inhibitors by Pharmacophore-based Virtual Screening and MD Simulations
    Shi, Huanhuan
    Zhou, Lu
    Bao, Guangkai
    Yi, Qianying
    Zhou, Suwen
    Tian, Yahui
    Li, Xiaoli
    [J]. LETTERS IN DRUG DESIGN & DISCOVERY, 2014, 11 (07) : 894 - 907
  • [3] Systematic virtual screening in search of SARS CoV-2 inhibitors against spike glycoprotein: pharmacophore screening, molecular docking, ADMET analysis and MD simulations
    Dhameliya, Tejas M.
    Nagar, Prinsa R.
    Gajjar, Normi D.
    [J]. MOLECULAR DIVERSITY, 2022, 26 (05) : 2775 - 2792
  • [4] Systematic virtual screening in search of SARS CoV-2 inhibitors against spike glycoprotein: pharmacophore screening, molecular docking, ADMET analysis and MD simulations
    Tejas M. Dhameliya
    Prinsa R. Nagar
    Normi D. Gajjar
    [J]. Molecular Diversity, 2022, 26 : 2775 - 2792
  • [5] In silico identification of potential phytochemical inhibitors for mpox virus: molecular docking, MD simulation, and ADMET studies
    Ghate, Sudeep D.
    Pinto, Larina
    Alva, Shivakiran
    Srinivasa, Mahendra Gowdru
    Vangala, Rajani Kanth
    Naik, Prashantha
    Revanasiddappa, B. C.
    Rao, R. Shyama Prasad
    [J]. MOLECULAR DIVERSITY, 2024,
  • [6] Identification of novel MEK1 inhibitors by pharmacophore and docking based virtual screening
    Fangxia Zou
    Yifei Yang
    Tianfang Ma
    Jiayue Xi
    Jinpei Zhou
    Xiaoming Zha
    [J]. Medicinal Chemistry Research, 2017, 26 : 701 - 713
  • [7] Identification of novel MEK1 inhibitors by pharmacophore and docking based virtual screening
    Zou, Fangxia
    Yang, Yifei
    Ma, Tianfang
    Xi, Jiayue
    Zhou, Jinpei
    Zha, Xiaoming
    [J]. MEDICINAL CHEMISTRY RESEARCH, 2017, 26 (04) : 701 - 713
  • [8] Potential SARS-CoV-2 RdRp inhibitors of cytidine derivatives: Molecular docking, molecular dynamic simulations, ADMET, and POM analyses for the identification of pharmacophore sites
    Kawsar, Sarkar M. A.
    Hosen, Mohammed A.
    Ahmad, Sajjad
    El Bakri, Youness
    Laaroussi, Hamid
    Ben Hadda, Taibi
    Almalki, Faisal A.
    Ozeki, Yasuhiro
    Goumri-Said, Souraya
    [J]. PLOS ONE, 2022, 17 (11):
  • [9] mPGES-1 Inhibitor Discovery Based on Computer-Aided Screening: Pharmacophore Models, Molecular Docking, ADMET, and MD Simulations
    Huang, Qiqi
    Lai, Tianli
    Wang, Qu
    Luo, Lianxiang
    [J]. MOLECULES, 2023, 28 (16):
  • [10] Identification of novel PI3Kδ inhibitors by docking, ADMET prediction and molecular dynamics simulations
    Liu, Ya-Ya
    Feng, Xiao-Yan
    Jia, Wen-Qing
    Jing, Zhi
    Xu, Wei-Ren
    Cheng, Xian-Chao
    [J]. COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2019, 78 : 190 - 204