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
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