High-performance PBPK model for predicting CYP3A4 induction-mediated drug interactions: a refined and validated approach
The PBPK-DDI model is a reliable tool for predicting CYP3A4 induction-mediated DDIs. Its high predictive accuracy, confirmed by adherence to evaluation standards, affirms its reliability for drug development and clinical pharmacology. Future refinements may further enhance its predictive value.
Authors
- Wenteng Si
- Hong‐Can Ren (ORCID: https://orcid.org/0000-0003-0486-4829)
- A.H.J. Wang
- Cheng-guang Yang (ORCID: https://orcid.org/0000-0001-5656-2051)
- Li Wang (ORCID: https://orcid.org/0000-0002-1351-8445)
- Tao Chen (ORCID: https://orcid.org/0000-0002-3941-1603)
Institutions
- Shanghai Jiao Tong University (CN)
- Tongren Hospital (CN)
- Zhengzhou City Hospital (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2025-02-26
- DOI
- https://doi.org/10.3389/fphar.2025.1521068
- Citations
- 5
- Primary Topic
- Pharmacogenetics and Drug Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 7.79