Evidence map›Paper›PMID 35348180›Full record

ArticleBioscience reports2023

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

Sandra Jose, Sreevidya S Devi, Anjana Sajeev, Sosmitha Girisa, Mohammed S Alqahtani, Mohamed Abbas, Abdulrahman Alshammari, Gautam Sethi, Ajaikumar B Kunnumakkara

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Veterinary sciences · 2024
    Article
  6. Illuminating ligand-induced dynamics in nuclear receptors through MD simulations.Biochimica et biophysica acta. Gene regulatory mechanisms · 2024
    Review
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 5 countries.

Sandra JoseCancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, Assam 781039, India.
Sreevidya S DeviCancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, Assam 781039, India.
Anjana SajeevCancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, Assam 781039, India.
Sosmitha GirisaCancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, Assam 781039, India.
Mohammed S AlqahtaniRadiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha 61421, Saudi Arabia.
Mohamed AbbasElectrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia.
Abdulrahman AlshammariDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Post Box 2455, Riyadh 11451, Saudi Arabia.
Gautam SethiDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0002-8677-8475
Ajaikumar B KunnumakkaraCancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, Assam 781039, India.
Indian Institute of Technology Guwahati · INKing Khalid University · SAKing Saud University · SANational University of Singapore · SGUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Drug RepositioningMolecular Dynamics SimulationDrug DesignHumansMolecular ConformationMolecular Docking SimulationagonistsFXR activatorsmolecular dockingmolecular dynamics simulations

Identifiers

PMID35348180
PMCPMC9977715
OpenAlexW4221005561

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.