In silico discovery of food-derived phytochemicals against asialoglycoprotein receptor 1 for treatment of hypercholesterolemia: Pharmacophore modeling, molecular docking and molecular dynamics simulation approach.

Asialoglycoprotein receptor 1 Hypercholesterolemia Molecular docking Molecular dynamics simulation Pharmacophore Phytochemicals

Journal

Journal of molecular graphics & modelling
ISSN: 1873-4243
Titre abrégé: J Mol Graph Model
Pays: United States
ID NLM: 9716237

Informations de publication

Date de publication:
12 2023
Historique:
received: 06 07 2023
revised: 22 08 2023
accepted: 23 08 2023
medline: 25 9 2023
pubmed: 1 9 2023
entrez: 31 8 2023
Statut: ppublish

Résumé

Hypercholesterolemia is a significant risk factor for atherosclerotic cardiovascular disease (ASCVD). Successful management of cholesterol metabolism disorders can prevent these ASCVD effectively. Asialoglycoprotein receptor 1 (ASGR1) is the main subtype of sialoglycoprotein receptor, which is specifically expressed in the liver and mediates the endocytosis of blood asialoglycoprotein to lysosome degradation. Recently, ASGR1 has been reported as a new therapeutic target for the treatment of hypercholesterolemia. In this study, the main aim was to identify natural ASGR1 inhibitors from plant food chemicals library through pharmacophore and docking based virtual screening. Total 14 phytochemicals of potential ASGR1 inhibitors were identified, which presented docking affinity higher than control compound through docking based virtual screening. The docking pose showed the top three hits interacted residues were located at active pocket of ASGR1 with hydrogen bonds, hydrophobic interactions and electrostatic interactions. The top three hits (ZINC85664954, ZINC169372863, and ZINC195764535) were then subjected to 200 ns molecular dynamics simulation to evaluate the stability of docked complexes. These results showed that selected phytochemicals bound to ASGR1 with higher stability than control compound. Binding free energy of each docked complex was calculated by the Molecular Mechanics Poisson-Boltzmann Surface Area (MM/PBSA) method. The binding free energy of ZINC85664954, ZINC169372863, ZINC195764535, and control-ASGR1 docked complexes were -18.359, -13.303, -14.389, and -6.229 kcal/mol, respectively. This indicated that selected hits bound to ASGR1 with higher affinity than control compound. Network pharmacology analysis shows that these phytochemicals have obvious multiple-effects and can regulate various biochemical pathways related to hypercholesterolemia. Besides, selected phytochemicals have suitable pharmacokinetics properties, suggesting that these compounds may be potential drug candidates. This study may be contributed to rational design of novel ASGR1 inhibitors for treatment of hypercholesterolemia.

Identifiants

pubmed: 37651861
pii: S1093-3263(23)00212-7
doi: 10.1016/j.jmgm.2023.108614
pii:
doi:

Substances chimiques

Asialoglycoprotein Receptor 0
ASGR1 protein, human 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

108614

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Shengyun Gao (S)

Chest Pain Center, Department of Cardiovascular Medicine, Gansu Wuwei Tumor Hospital, Wuwei, Gansu, 733000, China.

Lei Wang (L)

Chest Pain Center, Department of Cardiovascular Medicine, Gansu Wuwei Tumor Hospital, Wuwei, Gansu, 733000, China.

Feng Bai (F)

Drug Clinical Trial Center, Gansu Wuwei Tumor Hospital, Wuwei, Gansu, 733000, China.

Shaohua Xu (S)

Drug Clinical Trial Center, Gansu Wuwei Tumor Hospital, Wuwei, Gansu, 733000, China. Electronic address: shaohuaxu11@163.com.

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Classifications MeSH