ArticleInternational journal of molecular sciences2025
Exploring Adverse Event Associations of Predicted PXR Agonists Using the FAERS Database.
Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Disproportionality Analysis of Breast Cancer-Related Reports Across Vitamin K Homologs in the FDA Adverse Event Reporting System.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Investigation of Adverse Events Associated with Predicted GnRHR Agonists Using the FAERS Database.International journal of molecular sciences · 2026Article
- A multi-database pharmacovigilance study reveals distinctive immunosuppressive and opportunistic infection disproportionality signals with bevacizumab and temozolomide combination therapy in glioblastoma.Frontiers in medicine · 2026Article
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Authors and funding
2 authors.
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Abstract
Pregnane X receptor (PXR) is an important nuclear receptor that regulates diverse physiological functions, including drug metabolism. Although PXR activation is potentially involved in adverse events, the full scope of its impact has yet to be elucidated. In this study, we developed a machine learning model to predict the activity of PXR agonists and applied the model to drugs listed in the US Food and Drug Administration Adverse Event Reporting System database. Analysis of the predicted agonist-active drug interactions and adverse event reports revealed statistically significant risks (lnROR > 1 and -log
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