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 61 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

Brand Name(s) include: Kaletra (fixed dose combination with low dose ritonavir)

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

Wagner et al., Physiologically-Based Pharmacokinetic Modeling for Predicting the Effect of Intrinsic and Extrinsic Factors on Darunavir or Lopinavir Exposure Co-administered with Ritonavir. J Clin Pharmacol. 2017 October ; 57(10): 1295–1304.  (FDA model)

 Simcyp Version

V13

 Absorption Model

First-Order 

 Volume of Distribution Details

Minimal PBPK

 Route of Elimination

  • CYP3A4 and renal clearance

 Perpetrator DDI

  • CYP3A4 time-dependent inhibitor
  • CYP3A5 time-dependent inhibitor

 Advantages and Limitations

  • Model developed to predict the impact of hepatic impairment on lopinavir PK.
  • Accurately replicates 400 mg dose (therapeutic dose). Overprediction of 200 mg dose and underprediction of 800 mg single dose.
  • DDI with ritonavir works with ritonavir file published in V18, but not the updated V19 file.
  • Perpetrator DDI not verified.

 Model Compound Files

  • v13_res_lopinavir_simcyp_wagner
  • v13_res_ritonavir_simcyp_wagner

Brand Name(s) include: N/A

Disease: Malaria

Drug Class: Antimalarials

Date Updated: June 2021

Related Files: Amodiaquine (parent drug)

The model at-a-glance

  Absorption Model

  • N/A

  Volume of Distribution

  • Minimal PBPK (Method 2)

  Route of Elimination

  • CLPO (non-specific) and renal clearance

  Perpetrator DDI

  • CYP2D6

  Validation

  • Simulations based on 1 clinical study describing multiple dose exposure of DHEA and 1 DDI study where formation of DHEA was the victim of a CYP2C9 mediated DDI were both within 1.5-fold of the observed values.

  Limitations

  • Clinical data has not been used to verify DEAQ as a perpetrator of CYP2D6-mediated DDIs

  Updates in V19

  • Updated DEAQ Ki for CYP2D6

 

Lumefantrine

Brand Name(s) include: Coartem (artemether, lumefantrine), Riamet (artemether, lumefantrine)

Disease: Malaria

Drug Class: Antimalarials

Related Files: Artemether – drug partner in fixed dose combinations

Date Updated: December 2022

The model at-a-glance

 Absorption Model

  • First-Order

 Volume of Distribution Details

  • Full PBPK (Method 2)

Note: Kp scalar and Kp adipose used

 Route of Elimination

CYP3A4 (40%); non-specific hepatic metabolism (60%)

 Perpetrator DDI

  • CYP2D6 Inhibitor

 Validation

  • Two clinical studies describing single dose exposure and two describing multiple dose exposure of lumefantrine were used to verify the PBPK model.
    • The single dose exposures were within 2-fold of observed for both studies.
    • The multiple dose exposures were within 1.25-fold of observed for both studies.
  • Clinical DDI studies with rifampicin and efavirenz in healthy volunteers where lumefantrine was the victim of CYP3A4-mediated DDIs were over-predicted (>2-fold) using the PBPK model.
  • An alternative clinical efavirenz DDI study in HIV patients and a clinical DDI with ritonavir in healthy volunteers were well predicted (within 1.25-fold of observed). As the effect of CYP3A4 inhibition was independently verified and there appeared to be variability in the extent of induction on lumefantrine PK, the fmCYP3A4 of 40% was considered verified.

 Limitations

  • Plasma concentrations of lumefantrine following a single dose are less accurately predicted than those following multiple dose administration. As the Day 7 plasma concentrations following repeat administration of lumefantrine, are more critical (linked to cure rates) than after the first dose, this was deemed acceptable.
  • The model can be used to prospectively predict CYP2D6-mediated DDIs but in the absence of verification of CYP2D6 inhibition, this should be accompanied by appropriate sensitivity analysis.​

 Updates in V19

  • Updates in vitro data based on new information
    • B:P ratio 0.6 -> 0.55
    • CYP2D6 Ki (µM) 2.2 -> 1.8

 

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