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.

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Found 157 Matches

Pemigatinib_V19R1_Incyte_20220114
A Pemigatinib PBPK article accepted by CPT PSP with leading author as Tao Ji The submitted workspace files for Pemigatinib is using minimal PBPK model with ADAM functions for Pemigatinib that incorporates CYP3A4-mediated metabolism derived from in vitro data, mass balance data, and clinical PK data, for the purpose of evaluation of clinical DDIs with strong CYP3A inhibitors and/or inducers.
Pemigatinib_V19R1_Incyte_20220114
A Pemigatinib PBPK article accepted by CPT PSP with leading author as Tao Ji The submitted workspace files for Pemigatinib is using minimal PBPK model with ADAM functions for Pemigatinib that incorporates CYP3A4-mediated metabolism derived from in vitro data, mass balance data, and clinical PK data, for the purpose of evaluation of clinical DDIs with strong CYP3A inhibitors and/or inducers.
African Malaria Population V17
African Malaria Population V17
Tafenoquine

Brand Name(s) include: Arakoda, Krintafel

Disease: Malaria

Drug Class: Antimalarials

Date Updated: March 2022

The model at-a-glance

  Absorption Model

  • First-Order

  Volume of Distribution

  • Full PBPK (Method 3)
  • Note: Kp scalar used

  Route of Elimination

  • Undefined liver intrinsic clearance

  Perpetrator DDI

  • CYP2C9 Inhibitor
  • CYP3A4 Inhibitor

  Validation

  • Four clinical studies describing single and multiple dose exposure of tafenoquine were used to verify the PBPK model, although some of these provided PK profiles and no PK parameters and vice versa.  Of the clinical studies describing PK parameters, the model recovered 100% of the observed PK parameters within 1.5-fold (66% within 0.8-1.25-fold) and hence the model is considered predictive.  

  Limitations

  • Tafenoquine is administered with food to increase its exposure and minimize gastrointestinal side effects. The PBPK model was therefore developed to recover the PK of tafenoquine in the fed state.
  • It should be noted that in the absence of information defining the fm of drug metabolizing enzymes, an undefined liver intrinsic clearance is used in the model and hence the model is not able to simulate the liability of tafenoquine as a victim of DDIs.

 

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