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 107 Matches

Brand Name(s) include: Crixivan

Disease: HIV

Drug Class: Protease inhibitor

Date of Review: 2020

Number of Models Reviewed: 1

Number of Models added to the Repository: 1

The model at-a-glance

 Publication

Ke AB, Nallani SC, Zhao P, Rostami-Hodjegan A, Unadkat JD. A PBPK Model to Predict Disposition of CYP3A-Metabolized Drugs in Pregnant Women: Verification and Discerning the Site of CYP3A Induction. CPT Pharmacometrics Syst Pharmacol. 2012 Sep 26;1(9):e3.

 Simcyp Version

V13

 Published Model Application

Prediction of exposure in pregnancy

 Absorption Model

First Order

 Volume of Distribution Details

Full PBPK

 Route of Elimination

  • CYP3A4 and renal clearance
    • Nonlinear CYP3A4 kinetics

 Perpetrator DDI

  • None 

 Advantages and Limitations

  • Model developed in healthy volunteers to simulate indinavir PK in pregnant women.
  • Can simulate iv and oral data.
  • Verified in healthy subjects and pregnant women in the third trimester.
  • FmCYP3A4 not verified with clinical data.

 Model Compound Files

  • v18_res_indinavir_simcyp_ke
Carboxyprimaquine

Disease: Malaria

Drug Class: Antimalarials

Date Updated: March 2022

Related Files:  Primaquine (parent)

The model at-a-glance

  Absorption Model

N/A

  Volume of Distribution

Full PBPK (Method 2)

  Route of Elimination

  • Formed from primaquine by MAO. This is entered as ‘user-UGT’ as a surrogate within the simulator
  • Pathway of elimination is not defined; elimination is assigned as IV clearance that was manually optimized to fit the clinical data

  Perpetrator DDI

  • None

  Validation

  • Six clinical studies describing single and multiple dose exposure of carboxyprimaquine were used to verify the PBPK model.  The AUC for all verification studies were within 1.5-fold of the observed values.

  Limitations

  • Clinical data for carboxyprimaquine is highly variable

  Updates in V19

  • Converted from minimal PBPK model to full PBPK model

 

Pyrimethamine

Brand Name(s) include: Daraprim

Disease: Malaria

Drug Class: Antimalarials

Date Updated: November 2021

Model at-a-glance

  Absorption Model

  • First-Order

  Volume of Distribution 

  • Full PBPK (Method 2) 

Note: Kp scalar used

  Route of Elimination

  • Non-specific hepatic metabolism (metabolizing enzymes not known)

  Perpetrator DDI

  • OCT1 and OCT2 inhibitor

  Validation

  • Three clinical studies were available for model verification.  100% of simulated Cmax and AUC were within 1.5-fold of observed and hence the model performance was deemed acceptable.

  Limitations

  • The current model does not describe enzyme specific metabolism of pyrimethamine as there are no data for specific routes of metabolism.​

The current model does not mechanistically describe the absorption of pyrimethamine as the ADAM model over-predicts the extent of absorption. Although pyrimethamine is described as well absorbed in some literature, further analysis of the IV and PO data did not support this. 

  Updates in V19

  • Updated in vitro­ data
    • fup: 0.085 -> 0.095

 

Bosutinib_V18R2_Pfizer_20240809

The Bosutinib model uses a full PBPK distribution model (Method 2) and ADAM, where intestinal P-gp is accounted for (Km=0.38 uM, Jmax = 15.45 pmol/min/cm­2, RAF = 4). The elimination is described via HLM clearance and assigned to CYP3A4, and a user defined renal clearance. An Immediate Release formulation is simulated with a user-defined solubility-pH profile. The performance of the file is described in Yamazaki et al., 2018 (Application of Physiologically Based Pharmacokinetic Modeling in Understanding Bosutinib Drug-Drug Interactions: Importance of Intestinal P-Glycoprotein - PubMed (nih.gov). In a follow-up paper using V18R2, the inputs for intestinal P-gp were updated (Km = 0.58 uM, Jmax = 67.4 pmol/min/cm­2, REF = 1) based on Caco-2 data analysed in SIVA (Pan et al., 2021, Unraveling pleiotropic effects of rifampicin by using physiologically based pharmacokinetic modeling: Assessing the induction magnitude of P-glycoprotein-cytochrome P450 3A4 dual substrates - PubMed (nih.gov)).

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