Unraveling the mechanisms of bisphenol A-Induced lupus nephritis through network toxicology and machine learning approaches.
This study aimed to identify the potential toxic targets and molecular mechanisms underlying bisphenol A (BPA) exposure-induced lupus nephritis (LN) using network toxicology and machine learning. By leveraging the online databases SwissTargetPrediction, ChEMBL, STITCH, GeneCards, and OMIM, we identi...
| Publicado en: | International Journal of Environmental Health Research Vol. 36; no. 5; pp. 864 - 877 |
|---|---|
| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
May2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |