Evidence map›Paper›PMID 33799482›Full record

ArticleMolecules (Basel, Switzerland)2021

Binding of Androgen- and Estrogen-Like Flavonoids to Their Cognate (Non)Nuclear Receptors: A Comparison by Computational Prediction.

Giulia D'Arrigo, Eleonora Gianquinto, Giulia Rossetti, Gabriele Cruciani, Stefano Lorenzetti, Francesca Spyrakis

Open access · goldAbstract readComparative Study
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Identification ofMetabolites · 2024
    Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Endocrine Disruptors and Prostate Cancer.International journal of molecular sciences · 2022
    Review
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

6 authors at 4 institutions in 2 countries.

Giulia D'ArrigoDepartment of Drug Science and Technology, University of Turin, Via Giuria 9, 10125 Turin, Italy.
Eleonora GianquintoDepartment of Drug Science and Technology, University of Turin, Via Giuria 9, 10125 Turin, Italy.
Giulia RossettiInstitute for Neuroscience and Medicine (INM-9) and Institute for Advanced Simulations (IAS-5) "Computational Biomedicine", Forschungszentrum Jülich, 52425 Jülich, Germany.ORCID 0000-0002-2032-4630
Gabriele CrucianiDepartment of Chemistry, Biology and Biotechnology, University of Perugia, 06123 Perugia, Italy.
Stefano LorenzettiIstituto Superiore di Sanità (ISS), Department of Food Safety, Nutrition and Veterinary Public Health, Viale Regina Elena 299, 00161 Rome, Italy.ORCID 0000-0001-5358-8002
Francesca SpyrakisDepartment of Drug Science and Technology, University of Turin, Via Giuria 9, 10125 Turin, Italy.ORCID 0000-0002-4016-227X
University of Turin · ITForschungszentrum Jülich · DEIstituto Superiore di Sanità · ITUniversity of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flavonoids are plant bioactives that are recognized as hormone-like polyphenols because of their similarity to the endogenous sex steroids 17β-estradiol and testosterone, and to their estrogen- and androgen-like activity. Most efforts to verify flavonoid binding to nuclear receptors (NRs) and explain their action have been focused on ERα, while less attention has been paid to other nuclear and non-nuclear membrane androgen and estrogen receptors. Here, we investigate six flavonoids (apigenin, genistein, luteolin, naringenin, quercetin, and resveratrol) that are widely present in fruits and vegetables, and often used as replacement therapy in menopause. We performed comparative computational docking simulations to predict their capability of binding nuclear receptors ERα, ERβ, ERRβ, ERRγ, androgen receptor (AR), and its variant AR

Indexed as

AndrogensCell NucleusEstradiolEstrogen Receptor alphaEstrogen Receptor betaEstrogensFlavonoidsHumansMolecular Docking SimulationProtein BindingReceptors, Cell SurfaceReceptors, EstrogenTestosteroneAndrogensEstradiolEstrogen Receptor alphaEstrogen Receptor betaEstrogensFlavonoidsReceptors, Cell SurfaceReceptors, EstrogenTestosteroneandrogensestrogensflavonoidsgenomic actionG protein-coupled receptorsmolecular dockingnon-genomic actionnuclear receptors

Identifiers

PMID33799482
PMCPMC8001607
OpenAlexW3137287748

What OpenQuestion holds

Textmetadata
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.