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IMI - Oral biopharmaceutics tools project - Evaluation of bottom-up PBPK prediction success part 2: An introduction to the simulation exercise and overview of results.
Margolskee A, Darwich AS, Pepin X, Aarons L, Galetin A, Rostami-Hodjegan A, Carlert S, Hammarberg M, Hilgendorf C, Johansson P, Karlsson E, Murphy D, Tannergren C, Thörn H, Yasin M, Mazuir F, Nicolas O, Ramusovic S, Xu C, Pathak SM, Korjamo T, Laru J, Malkki J, Pappinen S, Tuunainen J, Dressman J, Hansmann S, Kostewicz E, He H, Heimbach T, Wu F, Hoft C, Laplanche L, Pang Y, Bolger MB, Huehn E, Lukacova V, Mullin JM, Szeto KX, Costales C, Lin J, McAllister M, Modi S, Rotter C, Varma M, Wong M, Mitra A, Bevernage J, Biewenga J, Van Peer A, Lloyd R, Shardlow C, Langguth P, Mishenzon I, Nguyen MA, Brown J, Lennernäs H, Abrahamsson B. Margolskee A, et al. Among authors: lin j. Eur J Pharm Sci. 2017 Jan 1;96:610-625. doi: 10.1016/j.ejps.2016.10.036. Epub 2016 Nov 2. Eur J Pharm Sci. 2017. PMID: 27816631
Quantitative prediction of repaglinide-rifampicin complex drug interactions using dynamic and static mechanistic models: delineating differential CYP3A4 induction and OATP1B1 inhibition potential of rifampicin.
Varma MV, Lin J, Bi YA, Rotter CJ, Fahmi OA, Lam JL, El-Kattan AF, Goosen TC, Lai Y. Varma MV, et al. Among authors: lin j. Drug Metab Dispos. 2013 May;41(5):966-74. doi: 10.1124/dmd.112.050583. Epub 2013 Feb 7. Drug Metab Dispos. 2013. PMID: 23393219
Quantitative Prediction of Drug-Drug Interactions Involving Inhibitory Metabolites in Drug Development: How Can Physiologically Based Pharmacokinetic Modeling Help?
Templeton IE, Chen Y, Mao J, Lin J, Yu H, Peters S, Shebley M, Varma MV. Templeton IE, et al. Among authors: lin j. CPT Pharmacometrics Syst Pharmacol. 2016 Oct;5(10):505-515. doi: 10.1002/psp4.12110. Epub 2016 Sep 19. CPT Pharmacometrics Syst Pharmacol. 2016. PMID: 27642087 Free PMC article.
IMI - Oral biopharmaceutics tools project - Evaluation of bottom-up PBPK prediction success part 3: Identifying gaps in system parameters by analysing In Silico performance across different compound classes.
Darwich AS, Margolskee A, Pepin X, Aarons L, Galetin A, Rostami-Hodjegan A, Carlert S, Hammarberg M, Hilgendorf C, Johansson P, Karlsson E, Murphy D, Tannergren C, Thörn H, Yasin M, Mazuir F, Nicolas O, Ramusovic S, Xu C, Pathak SM, Korjamo T, Laru J, Malkki J, Pappinen S, Tuunainen J, Dressman J, Hansmann S, Kostewicz E, He H, Heimbach T, Wu F, Hoft C, Pang Y, Bolger MB, Huehn E, Lukacova V, Mullin JM, Szeto KX, Costales C, Lin J, McAllister M, Modi S, Rotter C, Varma M, Wong M, Mitra A, Bevernage J, Biewenga J, Van Peer A, Lloyd R, Shardlow C, Langguth P, Mishenzon I, Nguyen MA, Brown J, Lennernäs H, Abrahamsson B. Darwich AS, et al. Among authors: lin j. Eur J Pharm Sci. 2017 Jan 1;96:626-642. doi: 10.1016/j.ejps.2016.09.037. Epub 2016 Sep 28. Eur J Pharm Sci. 2017. PMID: 27693299
Quantitative prediction of breast cancer resistant protein mediated drug-drug interactions using physiologically-based pharmacokinetic modeling.
Costales C, Lin J, Kimoto E, Yamazaki S, Gosset JR, Rodrigues AD, Lazzaro S, West MA, West M, Varma MVS. Costales C, et al. Among authors: lin j. CPT Pharmacometrics Syst Pharmacol. 2021 Sep;10(9):1018-1031. doi: 10.1002/psp4.12672. Epub 2021 Jul 20. CPT Pharmacometrics Syst Pharmacol. 2021. PMID: 34164937 Free PMC article.
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