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 45 Matches

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.
Entecavir_V15R1_USFDA_20170810
Entecavir compound file in healthy volunteers. Evaluation of the effect of renal impairment on PK of OAT substrates. NOTE: file has predicted Vss of 0.98 L/kg. Table 1 value is 0.9 L/kg. http://onlinelibrary.wiley.com/doi/10.1002/cpt.750/full
Doxycycline

Brand Name(s) include: Adoxa, Doryx, Monodox, Oracea, Periostat, Vibramycin, Vibra-tabs

Disease: Malaria

Drug Class: Antibiotic

Date Updated: June 2022

The model at-a-glance

  Absorption Model

  • First-Order

  Volume of Distribution

  • Full PBPK (Method 2)
  • Note: A Kp scalar (0.3) was used in the model

  Route of Elimination

  • Biliary = 66%; Renal= 44%

  Perpetrator DDI

  • None

  Validation

  • Seven clinical studies describing single and multiple dose exposure of doxycycline were used to verify the PBPK model. The model predicted AUC values in 86% of studies within 2-fold (100% if one simulated/observed ratio is rounded down from 1.52 to 1.5), of which 57% were within 1.5-fold. 

  Limitations

  • Model is not verified at doses below 100 mg or about 200 mg (dose-linearity of doxycycline is uncertain)
  • Model assumes hyclate, monohydrate and hydrochloride formulations are bioequivalent
  • Model is not developed for the prediction of IV doxycycline
  • Model was developed and verified primarily in healthy volunteer studies (except Newton et al. 2005); appropriateness of extrapolation to acute malaria patients is unknown

  Updates in V19

  • Updated in vitro­ data
    • fu: 0.142 -> 0.23
    • B:P: 1.5 -> 0.78
  • Converted from minimal PBPK model to full PBPK model
  • Elimination changed from user input IV clearance to retrograde clearance with biliary clearance and additional hepatic clearance

 

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