Repurposing FDA-approved drugs as FXR agonists: a structure based in silico pharmacological study.

Abstract

Farnesoid X receptor (FXR) modulates the expression of genes involved in lipid and carbohydrate homeostasis and inflammatory processes. This nuclear receptor is likely a tumor suppressor in several cancers, but its molecular mechanism of suppression is still under study. Several studies reported that FXR agonism increases the survival of colorectal, biliary tract, and liver cancer patients. In addition, FXR expression was shown to be down-regulated in many diseases such as obesity, irritable bowel syndrome, glomerular inflammation, diabetes, proteinuria, and ulcerative colitis. Therefore, development of novel FXR agonists may have significant potential in the prevention and treatment of these diseases. In this scenario, computer-aided drug design procedures can be resourcefully applied for the rapid identification of promising drug candidates. In the present study, we applied the molecular docking method in conjunction with molecular dynamics (MD) simulations to find out potential agonists for FXR based on structural similarity with the drug that is currently used as FXR agonist, obeticholic acid. Our results showed that alvimopan and montelukast could be used as potent FXR activators and outperform the binding affinity of obeticholic acid by forming stable conformation with the protein in silico. However, further investigational studies and validations of the selected drugs are essential to figure out their suitability for preclinical and clinical trials.

• Authors: Sandra Jose, Sreevidya S Devi, Anjana Sajeev, Sosmitha Girisa, Mohammed S Alqahtani, Mohamed Abbas, Abdulrahman Alshammari, Gautam Sethi, Ajaikumar B Kunnumakkara
• Journal: Bioscience reports (Biosci Rep) Vol. 43 Issue 3 (03 31 2023) ISSN: 1573-4935 [Electronic] England
• PMID: 35348180 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: © 2023 The Author(s).

Topics

• Humans
• Molecular Docking Simulation
• Drug Repositioning
• Molecular Dynamics Simulation
• Molecular Conformation
• Drug Design