PBPK modeling to predict the pharmacokinetics of pantoprazole in different CYP2C19 genotypes
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Organic Chemistry,Drug Discovery,Molecular Medicine
Link
https://link.springer.com/content/pdf/10.1007/s12272-023-01478-7.pdf
Reference66 articles.
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3. Bae JW, Oh KY, Yoon SJ, Shin HB, Jung EH, Cho CK, Lim CW, Kang P, Choi CI, Jang CG, Lee SY, Lee YJ (2020) Effects of CYP2D6 genetic polymorphism on the pharmacokinetics of metoclopramide. Arch Pharm Res 43(11):1207–1213. https://doi.org/10.1007/s12272-020-01293-4
4. Barrett JS, Della Casa Alberighi O, Läer S, Meibohm B (2012) Physiologically based pharmacokinetic (PBPK) modeling in children. Clin Pharmacol Ther 92(1):40–49. https://doi.org/10.1038/clpt.2012.64
5. Biswas M (2021) Global distribution of CYP2C19 risk phenotypes affecting safety and effectiveness of medications. Pharmacogenomics J 21(2):190–199. https://doi.org/10.1038/s41397-020-00196-3
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Physiologically‐based pharmacokinetic modeling of pantoprazole to evaluate the role of CYP2C19 genetic variation and obesity in the pediatric population;CPT: Pharmacometrics & Systems Pharmacology;2024-06-04
2. PBPK modeling to predict the pharmacokinetics of venlafaxine and its active metabolite in different CYP2D6 genotypes and drug–drug interactions with clarithromycin and paroxetine;Archives of Pharmacal Research;2024-04-25
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