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Published on: September 20, 2016
Repurposing FDA-approved drugs as FXR agonists: a structure based in silico pharmacological study
Sandra Jose1, Sreevidya S Devi1, Anjana Sajeev1
1Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, Assam 781039, India.
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.
Insights
Novel drug candidates, alvimopan and montelukast, show potential as Farnesoid X receptor (FXR) agonists. Computer-aided drug design identified these compounds with stronger binding affinity than obeticholic acid for treating various diseases.
Area of Science:
- Biochemistry
- Pharmacology
- Computational Biology
Background:
- Farnesoid X receptor (FXR) regulates lipid, carbohydrate, and inflammatory pathways.
- FXR dysfunction is linked to diseases like obesity, diabetes, and inflammatory conditions.
- FXR's tumor suppressor role in cancer is under investigation, with agonism showing survival benefits.
Purpose of the Study:
- To identify novel Farnesoid X receptor (FXR) agonists using computer-aided drug design.
- To explore potential therapeutic agents for FXR-related diseases and cancers.
- To screen compounds based on structural similarity to the known FXR agonist, obeticholic acid.
Main Methods:
- Employed molecular docking and molecular dynamics (MD) simulations.
- Utilized structural similarity to obeticholic acid as a basis for screening.
- In silico analysis of binding affinity and conformational stability.
Main Results:
- Alvimopan and montelukast were identified as potential potent FXR activators.
- These compounds demonstrated superior binding affinity compared to obeticholic acid in silico.
- Stable protein-ligand conformations were observed for the identified candidates.
Conclusions:
- Alvimopan and montelukast show promise as novel FXR agonists.
- Further preclinical and clinical studies are necessary to validate their therapeutic potential.
- Computational methods can accelerate the discovery of drug candidates for FXR-related conditions.
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