Search the PBPK Model Repository

Quickly find freely available drug and population models in our PBPK model repository.

The models provided have been collated from published examples which authors have shared in our Published Model Collection or developed as part of various global health projects in our Global Health Collection. This search facility searches both model collections simultaneously.

To contribute published user compound and/or population files, upload your files here: Upload Model Files

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Found 95 Matches

Lamivudine PBPK Model Review 2020
Lamivudine_PBPK_Model_review_2020
Piperaquine

Brand Name(s) include: Eurartesim

Disease: Malaria

Drug Class: Antimalarials

Date Updated: January 2022

Related Files: DHA (partner in fixed dose combination)

The model at-a-glance

  Absorption Model

  • First-Order (dose and food-dependent fa – saved in different models)

  Volume of Distribution

  • Full PBPK (Method 2)
  • Notes: Includes a Kp scalar and Kpadipose

  Route of Elimination

  • CYP3A4 (80%), CYP2C9 (10%), CYP2C19 (10%)

  Perpetrator DDI

  • CYP3A4 Inhibitor

  Validation

  • Two clinical studies with fasted and fed groups at varying dose levels describing single and multiple dose exposure of piperaquine were used to verify the PBPK model. All of the simulated studies were within 1.5-fold of the observed values. 
  • A clinical DDI study where piperaquine was the victim of a CYP3A4-mediated DDI was accurately recovered using the PBPK model as well as a CYP3A4 perpetrator DDI with the sensitive substrate midazolam.

  Limitations

  • Requires separate files for low and high dose due to dose-dependant fa​
  • Cmax overprediction, likely due to formulation differences​
  • Additional verification for DDIs would be ideal although studies are currently not available in literature

  Updates in V19

  • Updated in vitro­ data
  • LogP
  • Converted model to full PBPK with Vss predicted through Method 2

 

Osimertinib_V14R1_AstraZeneca_20190717
Compound file from publication: Development, Verification, and Prediction of Osimertinib Drug-Drug Interactions Using PBPK Modeling Approach to Inform Drug Label. Pilla Reddy V, Walker M, Sharma P, Ballard P, Vishwanathan K (2018). CPT Pharmacometrics Systems Pharmacolology. doi: 10.1002/psp4.12289.
Tramadol_V14R1_JohnsonandJohnson_20151029
V12 R1 compound file built to simulate adult Human PK and pediatric PK. Supplied file is for V14 R1. “Physiology-Based IVIVE Predictions of Tramadol from in Vitro Metabolism Data” in Pharm Res January 2015, Volume 32, Issue 1, pp 260-274 http://link.springer.com/article/10.1007%2Fs11095-014-1460-x “Physiologically Based Pharmacokinetic Predictions of Tramadol Exposure Throughout Pediatric Life: an Analysis of the Different Clearance Contributors with Emphasis on CYP2D6 Maturation.” in AAPSJ November 2015, Volume 17, Issue 6, pp 1376-1387 http://link.springer.com/article/10.1208%2Fs12248-015-9803-z

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