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  Distribution  Method validation  Interactive comparison  Poulin and Theil  Berezhkovskiy L. M.  Rodgers and Rowland  Schmitt W  PK-Sim®  Schmitt et al. 2020
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References

  1. Sun D, Lennernas H, Welage L, Barnett J, Landowski C, Foster D, et al. Comparison of Human Duodenum and Caco-2 Gene Expression Profiles for 12,000 Gene Sequences Tags and Correlation with Permeability of 26 Drugs. Pharmaceutical Research. 2002;19(10):1400-16. https://doi.org/10.1023/A:1020483911355
  2. Gertz M, Harrison A, Houston JB, Galetin A. Prediction of Human Intestinal First-Pass Metabolism of 25 CYP3A Substrates from In Vitro Clearance and Permeability Data. Drug Metab Dispos 2010 July 1, 2010;38(7):1147-58. https://doi.org/10.1124/dmd.110.032649
  3. Yu LX, Amidon GL. A compartmental absorption and transit model for estimating oral drug absorption. Int J Pharm. 1999;186(2):119-25. https://doi.org/10.1016/S0378-5173(99)00147-7
  4. Rajoli RK, Back DJ, Rannard S, Freel Meyers CL, Flexner C, Owen A, et al. Physiologically Based Pharmacokinetic Modelling to Inform Development of Intramuscular Long-Acting Nanoformulations for HIV. Clin Pharmacokinet. 2015 Jun;54(6):639-50. https://doi.org/10.1007/s40262-014-0227-1
  5. Rodgers T, Rowland M. Physiologically based pharmacokinetic modelling 2: Predicting the tissue distribution of acids, very weak bases, Neutrals and Zwitterions. Journal of Pharmaceutical Sciences. 2006;95(6):1238-57. https://doi.org/10.1002/jps.20502
  6. Rodgers T, Leahy D, Rowland M. Physiologically Based Pharmacokinetic Modeling 1: Predicting the Tissue Distribution of Moderate-to-Strong Bases. Journal of Pharmaceutical Sciences. 2005;94(6):1259-76. https://doi.org/10.1002/jps.20322
  7. Poulin P, Theil FP. Prediction of pharmacokinetics prior to in vivo studies. 1. Mechanism-based prediction of volume of distribution. J Pharm Sci. 2002 Jan;91(1):129-56. https://doi.org/10.1002/jps.10005
  8. Plotly. Plotly Open Source Graphing Libraries. 2022 [cited 07/01/2022]; Available from: https://plotly.com/javascript/
  9. Riley RJ, McGinnity DF, Austin RP. A unified model for predicting human hepatic, metabolic clearance from in vitro intrinsic clearance data in hepatocytes and microsomes. Drug Metabolism and Disposition. 2005;33(9):1304-11. https://doi.org/10.1124/dmd.105.004259