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 141 Matches

V18 released Simcyp files for antiretroviral drugs
V18 released Simcyp files for antiretroviral drugs
Azithromycin

Brand Name(s) include: Zithromax

Disease: Malaria

Drug Class: Marcolide Antibiotic

Date Updated: March 2021

The model at-a-glance

  Absorption Model

  • First-Order

  Volume of Distribution

  • Full PBPK (Method 2)

Note: A Kp scalar (0.04) was used in the model

  Route of Elimination

  • No metabolism; a biliary CLint was input based on clinical data

  Perpetrator DDI

  • None

  Validation

  • Two clinical studies describing single and multiple dose exposure of atovaquone were used to verify the PBPK model. 100% of studies were within 1.5-fold.

  Limitations

  • There are some data to suggest atovaquone is an inhibitor of BCRP.  This is currently not included within the model.

  Updates in V19

  • Updated in vitro­ data
    • LogP: 5.8 -> 8.4
    • Caco-2 Papp > 300 x 10-6 cm/s
    • Propranolol Papp 101 x 10-6 cm/s
  • Optimized ka and tlag
  • Converted from minimal PBPK model to full PBPK model

 

Cycloguanil

Brand Name(s) include: N/A

Disease: Malaria

Drug Class: Antimalarials

Date Updated: March 2022

Related drugs: Proguanil

The model at-a-glance

  Absorption Model

First-Order

  Volume of Distribution

Full PBPK (Method 2)

  Route of Elimination

Formed by CYP2C19, CYP3A4; unknown clearance mechanism

  Perpetrator DDI

  • CYP2D6 Inhibitor

  Validation

  • Proguanil and cycloguanil files were built using in vitro and clinical (Jeppersen et al., 1997) data
  • 5 clinical studies describing single and multiple dose exposure of cycloguanil were used to verify the PBPK model. 60% of studies were within 2-fold, of which 40% were within 1.5-fold.
  • A clinical DDI study where proguanil was the victim of a CYP2C19-mediated DDI was accurately recovered using the PBPK model.  

  Limitations

  • Prediction of cycloguanil exposure was complicated by not knowing the polymorphism classification of subjects in each study, hence the model performance was deemed acceptable using the criteria of being within 2-fold of observed.
  • Verification needed for perpetrator DDI assessment as literature data is unavailable at this time

  Updates in V19

  • Recalculated fm values using the corrected dose administered in Jeppesen et al., 1997
  • Previous version used paper calculation of total clearance which did not account for the weight of the salt in the 200 mg dose administered
  • Model converted from minimal to full PBPK distribution model
  • Updated in vitro data
  • Updated CYP2D6 IC50

 

this is a test

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