Literature DB >> 30557816

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

Xiao-Yan Feng1, Wen-Qing Jia1, Xin Liu1, Zhi Jing1, Ya-Ya Liu1, Wei-Ren Xu2, Xian-Chao Cheng3.   

Abstract

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.

Entities:  

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

Mesh:

Substances:

Year:  2018        PMID: 30557816     DOI: 10.1016/j.compbiolchem.2018.11.023

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  3 in total

1.  Molecular docking, pharmacophore based virtual screening and molecular dynamics studies towards the identification of potential leads for the management of H. pylori.

Authors:  Manoj G Damale; Rajesh B Patil; Siddique Akber Ansari; Hamad M Alkahtani; Abdulrahman A Almehizia; Devanand B Shinde; Rohidas Arote; Jaiprakash Sangshetti
Journal:  RSC Adv       Date:  2019-08-21       Impact factor: 4.036

2.  Environmentally Friendly Fluoroquinolone Derivatives with Lower Plasma Protein Binding Rate Designed Using 3D-QSAR, Molecular Docking and Molecular Dynamics Simulation.

Authors:  Yilin Hou; Yuanyuan Zhao; Yu Li
Journal:  Int J Environ Res Public Health       Date:  2020-09-11       Impact factor: 3.390

Review 3.  Chemical Screening of Nuclear Receptor Modulators.

Authors:  Mari Ishigami-Yuasa; Hiroyuki Kagechika
Journal:  Int J Mol Sci       Date:  2020-07-31       Impact factor: 5.923

  3 in total

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