Literature DB >> 30836318

Identification of potential AMPK activator by pharmacophore modeling, molecular docking and QSAR study.

Yingying Li1, Jiale Peng2, Penghua Li2, Haibo Du2, Yaping Li2, Xingyong Liu2, Li Zhang3, Liang-Liang Wang4, Zhili Zuo1.   

Abstract

AMP-activated protein kinase (AMPK) plays a major role in maintaining cellular energy homeostasis by sensing and responding to AMP/ADP concentrations relative to ATP. AMPK has attracted widespread attention as a potential therapeutic target for metabolic diseases such as cancer and cardiovascular diseases. The structure-based 3D pharmacophore model was developed based on the training set. The best pharmacophore model Hypo5 was proposed and validated using a decoy set, an external test set. Hypo5, with the correlation coefficient value of 0.936, cost difference value of 112.08 and low RMS value of 1.63, includes a ionizable positive, a hydrogen bond donor, a hydrogen bond acceptor and two hydrophobic features, which showed a high goodness of fit and enrichment factor. Thus it was used as a 3D query to find potential activator from the SPECS Database. Then the ADMET descriptors were used to filter all of 158 screening molecules. The 41 filtering compounds were subsequently subjected to molecular docking and Quantitative structure-activity relationship (QSAR) analysis. Finally, the compound H2 was picked out from those filtering compounds based on the receptor-ligand interaction analysis and the prediction of the QSAR models. And then it was submitted for molecular dynamics (MD) simulations to explore the stability of complex. The result indicates that the candidate could be considered a potential AMPK activator.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  AMPK; Activator; Molecular docking; Molecular dynamics; Pharmacophore modeling; Quantitative structure–activity relationship (QSAR)

Mesh:

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Year:  2019        PMID: 30836318     DOI: 10.1016/j.compbiolchem.2019.02.007

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


  2 in total

1.  Polydatin, A Glycoside of Resveratrol, Is Better Than Resveratrol in Alleviating Non-alcoholic Fatty Liver Disease in Mice Fed a High-Fructose Diet.

Authors:  Guangshan Zhao; Lian Yang; Wenshen Zhong; Yuze Hu; Yu Tan; Zhe Ren; Qiuyan Ban; Chung S Yang; Yifei Wang; Zhiping Wang
Journal:  Front Nutr       Date:  2022-05-16

2.  Modeling Structure-Activity Relationship of AMPK Activation.

Authors:  Jürgen Drewe; Ernst Küsters; Felix Hammann; Matthias Kreuter; Philipp Boss; Verena Schöning
Journal:  Molecules       Date:  2021-10-28       Impact factor: 4.411

  2 in total

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