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Predicting drug-drug interactions: an FDA perspective.
Zhang L, Zhang YD, Zhao P, Huang SM. Zhang L, et al. Among authors: zhao p. AAPS J. 2009 Jun;11(2):300-6. doi: 10.1208/s12248-009-9106-3. Epub 2009 May 6. AAPS J. 2009. PMID: 19418230 Free PMC article. Review.
Evaluation of exposure change of nonrenally eliminated drugs in patients with chronic kidney disease using physiologically based pharmacokinetic modeling and simulation.
Zhao P, Vieira Mde L, Grillo JA, Song P, Wu TC, Zheng JH, Arya V, Berglund EG, Atkinson AJ Jr, Sugiyama Y, Pang KS, Reynolds KS, Abernethy DR, Zhang L, Lesko LJ, Huang SM. Zhao P, et al. J Clin Pharmacol. 2012 Jan;52(1 Suppl):91S-108S. doi: 10.1177/0091270011415528. J Clin Pharmacol. 2012. PMID: 22232759
Utility of a physiologically-based pharmacokinetic (PBPK) modeling approach to quantitatively predict a complex drug-drug-disease interaction scenario for rivaroxaban during the drug review process: implications for clinical practice.
Grillo JA, Zhao P, Bullock J, Booth BP, Lu M, Robie-Suh K, Berglund EG, Pang KS, Rahman A, Zhang L, Lesko LJ, Huang SM. Grillo JA, et al. Among authors: zhao p. Biopharm Drug Dispos. 2012 Mar;33(2):99-110. doi: 10.1002/bdd.1771. Epub 2012 Mar 4. Biopharm Drug Dispos. 2012. PMID: 22270945
9,596 results