Identification of Novel PPARα/γ Dual Agonists by Virtual Screening of Specs Database

被引:6
|
作者
Zhang, Jun [1 ]
Liu, Xin [1 ]
Wang, Shu-Qing [1 ]
Fu, Jing-Wei [1 ]
Xu, Wei-Ren [2 ]
Cheng, Xian-Chao [1 ]
Wang, Run-Ling [1 ]
机构
[1] Tianjin Med Univ, Sch Pharm, Tianjin Key Lab Technol Enabling Dev Clin Therape, Tianjin 300070, Peoples R China
[2] Tianjin Inst Pharmaceut Res, Tianjin Key Lab Mol Design & Drug Discovery, Tianjin 300193, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
PPARs; Specs database; molecular docking; ADMET; MD simulations; CBP; MOLECULAR-DYNAMICS; POTENTIAL INHIBITORS; LIGAND-BINDING; GAMMA LIGAND; IN-SILICO; DFG-IN; DOCKING; DESIGN; ALPHA; DERIVATIVES;
D O I
10.2174/1386207319666160615013027
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Rosiglitazone was restricted clinically due to the side effects such as edema, weight gain and cardiac failure mainly attributing to the single and selective PPAR. activation. Nowadays, multi-targeted PPARs agonists remained to be a hot topic in the antidiabetic medicinal chemistry field. In this paper, the cooperative PPAR alpha/gamma dual agonists were screened from Specs database via the flow chart of docking, ADMET prediction and molecular dynamics (MD) simulations. Representative compounds ZINC36517927 and ZINC13573581 displayed higher binding scores, better pharmacokinetic profiles and were predicted to display the best binding affinity with PPAR alpha/gamma. Complex-based pharmacophore (CBP) models showed the key interactions in the PPARa/. active sites. 20 ns simulations performed to the PPAR-ligand complexes indicated a stable binding conformation. This work provided an approach to identify novel high-efficiency PPAR alpha/gamma dual agonists for the treatment of type 2 diabetes mellitus (T2DM).
引用
收藏
页码:644 / 655
页数:12
相关论文
共 50 条
  • [1] Virtual identification of novel PPARα/γ dual agonists by scaffold hopping of saroglitazar
    Jia, Wen-Qing
    Jing, Zhi
    Liu, Xin
    Feng, Xiao-Yan
    Liu, Ya-Ya
    Wang, Shu-Qing
    Xu, Wei-Ren
    Liu, Jian-Wen
    Cheng, Xian-Chao
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2018, 36 (13) : 3496 - 3512
  • [2] Identification of novel PPARα/γ dual agonists by virtual screening, ADMET prediction and molecular dynamics simulations
    Liu, Xin
    Jing, Zhi
    Jia, Wen-Qing
    Wang, Shu-Qing
    Ma, Ying
    Xu, Wei-Ren
    Liu, Jian-Wen
    Cheng, Xian-Chao
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2018, 36 (11) : 2988 - 3002
  • [3] Pharmacophore mapping and virtual screening for the identification of new PPARγ agonists
    Khanna, Smriti
    Sundriyal, Sandeep
    Bharatam, Prasad, V
    JOURNAL OF THE INDIAN CHEMICAL SOCIETY, 2020, 97 (08) : 1191 - 1197
  • [4] 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
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2019, 78 : 178 - 189
  • [5] Identification of novel multitargeted PPARα/γ/δ pan agonists by core hopping of rosiglitazone
    Wang, Xue-Jiao
    Zhang, Jun
    Wang, Shu-Qing
    Xu, Wei-Ren
    Cheng, Xian-Chao
    Wang, Run-Ling
    DRUG DESIGN DEVELOPMENT AND THERAPY, 2014, 8 : 2255 - 2262
  • [6] Structure-Based Virtual Screening and Discovery of New PPARδ/γ Dual Agonist and PPARδ and γ Agonists
    Maltarollo, Vinicius G.
    Togashi, Marie
    Nascimento, Alessandro S.
    Honorio, Kathia M.
    PLOS ONE, 2015, 10 (03):
  • [7] Virtual identification of novel PPARα/γ dual agonists by 3D-QSAR, molecule docking and molecular dynamics studies
    Liu, Ya-Ya
    Feng, Xiao-Yan
    Jia, Wen-Qing
    Jing, Zhi
    Xu, Wei-Ren
    Chen, Xian-Chao
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2020, 38 (09) : 2672 - 2685
  • [8] Molecular dynamics articulated multilevel virtual screening protocol to discover novel dual PPAR α/γ agonists for anti-diabetic and metabolic applications
    Mandal, Subhankar
    Faizan, Syed
    Raghavendra, Nulgumnalli Manjunathaiah
    Kumar, B. R. Prashantha
    MOLECULAR DIVERSITY, 2023, 27 (06) : 2605 - 2631
  • [9] Identification of novel agonists and antagonists of the ecdysone receptor by virtual screening
    Hu, Xueping
    Yin, Bin
    Cappelle, Kaat
    Swevers, Luc
    Smagghe, Guy
    Yang, Xinling
    Zhang, Li
    JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2018, 81 : 77 - 85
  • [10] In-silico identification of peroxisome proliferator-activated receptor (PPAR)α/γ agonists from Ligand Expo Components database
    Feng, Xiao-Yan
    Ding, Ting-Ting
    Liu, Ya-Ya
    Xu, Wei-Ren
    Cheng, Xian-Chao
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2021, 39 (05) : 1853 - 1864