[期刊论文][Full-length article]


Identification of novel PPARα/γ dual agonists by pharmacophore screening, docking analysis, ADMET prediction and molecular dynamics simulations

作   者:
Xiao-Yan Feng;Wen-Qing Jia;Xin Liu;Zhi Jing;Ya-Ya Liu;Wei-Ren Xu;Xian-Chao Cheng;

出版年:2019

页     码:178 - 189
出版社:Elsevier BV


摘   要:

PPARα and PPARγ play an important role in regulating glucose and lipid metabolism. The single and selective PPARα or PPARγ agonists have caused several side effects such as edema, weight gain and cardiac failure. In the recent years, the dual PPARs agonist development has become a hot topic in the antidiabetic medicinal chemistry field. In this paper, the compound CHEMBL230490 were gained from CHEMBL database, by means of complex-based pharmacophore (CBP) virtual screening, molecular docking, ADMET prediction and molecular dynamics (MD) simulations. The compound CHEMBL230490 not only displayed higher binding scores and better binding modes with the active site of PPARα a/γ, but also had more favorable the pharmacokinetic properties and toxicity evaluated by ADMET prediction. The representative compound CHEMBL230490 was performed to MDs for studying a stable binding conformation. The results indicated that the CHEMBL230490 might be a potential antidiabetic lead compound. The research provided a valuable approach in developing novel PPARα/γ dual agonists for the treatment of type 2 diabetes mellitus (T2DM). Copyright © 2018 Elsevier Ltd. All rights reserved.



关键字:

PPARα/γ dual agonists ; Pharmacophore screening ; Docking ; ADMET prediction ; Molecular dynamics simulations


所属期刊
Computational Biology and Chemistry
ISSN: 1476-9271
来自:Elsevier BV