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 57 Matches

Rofecoxib_V18R1_LongIslandUniversity_20210119
This is a compound file for rofecoxib - a mechanism based inhibitor of CYP1A2. The input values for the Rofecoxib PBPK model are listed in table 2 of the publication. The file uses a User input for fa and ka with a CV of 30% for each, a predicted fugut of 0.066 and a predicted Qgut of 16.271 L/h. Competitive CYP1A2 Inhibition with a Ki of 2.25 µM and fumic of 0.88 is also included in the file.

Brand Name(s) include : Malarone (fixed dose combination with atovaquone)

Disease: Malaria, prophylaxis against Plasmodium falciparum in travelers

Drug Class: Antimalarials

Date Updated: March 2022

Related Files: Cycloguanil (metabolite of proguanil), Atovaquone (drug partner in fixed dose combinations)

Model at-a-glance

 Absorption Model

  •   First-Order

 Volume of Distribution 

  •   Full PBPK (Method 2)

  Note: Kp scalar used

 Route of Elimination

  •   CYP2C19, CYP3A4, renal clearance

 Perpetrator DDI

  •   CYP2D6 Inhibitor

 Validation

  • Proguanil and cycloguanil files were built using in vitro and clinical (Jeppersen et al., 1997) data
  • 3 clinical studies describing single and multiple dose exposure of proguanil were used to verify the PBPK model. 66% of studies were within 2-fold, of which 33% 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 proguanil 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
  • With a large CLRcomponent and chemical relation to metformin, we hypothesise that proguanil may be a substrate for active transport in the kidney. However, owing to a lack of mechanistic information relating to active transport this cannot be built into the model.​

 Updates in V19

  • Modification of fm values
  • Model converted from minimal to full PBPK distribution model
  • Updated CYP2D6 IC50
Dihydroartemisinin (DHA) from Artesunate

Brand Name(s) include: Camoquin (FDC with amodiaquine)

Disease: Malaria

Drug Class: Antimalarials

Related Drugs: DHA, Amodiaquine

Date Updated: March 2022

The model at-a-glance

  Absorption Model

  • First-Order

  Volume of Distribution

  • Full PBPK (Method 2)

Note: Kp scalar used

  Route of Elimination

  • UGT1A9 (50%); UGT2B7(50%)

  Perpetrator DDI

  • CYP1A2 Inhibitor

  Validation

  • One clinical study describing single dose exposure of DHA was used to verify the PBPK model.  100% of studies were within 2-fold, of which 100% were within 1.5-fold. 

  Limitations

  • The absorption model does not consider the formation of ‘DHA from artesunate’ mechanistically. Instead, an optimized ka and fa were applied to the DHA model to describe the observed plasma concentration-time curve of DHA. The remainder of the DHA model was identical to the DHA model which is described above.
  • The model does not account for the differences in plasma fraction unbound observed in patients compared to healthy volunteers.
  • Verification needed for perpetrator DDI assessment as literature data is unavailable at this time.

  Updates in V19

  • Updated in vitro data
    • Propranolol Papp: 30 cm/s x 106
  • Converted model to full PBPK with Vss predicted through Method 2
  • Updated retrograde clearance

 

Benzylpenicillin_RES_V20R1_Simcyp_20210512

The RES-Benzylpenicillin file was primarily developed as a substrate of renal OAT3 transport. This document provides: 1. Examples of model performance 2. A summary of the key pharmacokinetic features of benzylpenicillin considered within the model.

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