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

Amodiaquine

Brand Name(s) include: Basoquin, Camoquin, Flavoquin, Coarsucam

Disease: Malaria

Drug Class: Antimalarials

Date Updated: June 2021

The model at-a-glance

  Absorption Model

First-Order

  Volume of Distribution

Full PBPK (Method 2)

  Route of Elimination

CYP2C8 = 72%; Additional HLM = 28%

  Perpetrator DDI

  • CYP2D6 

  Validation

  • Four clinical studies describing single and multiple dose exposure of amodiaquine were used to verify the PBPK model. In comparison of predicted vs. observed AUC, 75% of the studies were 2-fold and 50% were within 1.5-fold. A clinical DDI study where amodiaquine was the victim of a CYP2C8-mediated DDI was accurately recovered using the PBPK model.

  Limitations

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

  Updates in V19

  • Updated in vitro­ data
    • fu: 0.033 -> 0.089
    • B:P: 1.3 -> 1.1
    • DEAQ Ki for CYP2D6 (µM) – 1.7 -> 1.6
  • Converted from minimal PBPK model to full PBPK model
    • Recalculated retrograde clearance for CYP2C8 CLint and additional HLM CLint

 

Pitavastatin_RES_V20R1_Simcyp_20211102

The RES-Pitavastatin file was developed as a CYP2C9, UGT1A3/2B7, OATP1B1/1B3/2B1, NTCP substrate This document provides: 1. Examples of model performance 2. A summary of the key pharmacokinetic features of pitavastatin considered within the model.

Brand Name(s) include: Epivir

Disease: HIV

Drug Class: Nucleoside reverse transcriptase inhibitor

Date of Review: 2020

Number of Models Reviewed: 3

Number of Models added to the Repository: 3

The model at-a-glance

Version 13

 Publication

De Sousa Mendes, M., Hirt, D., Urien, S., Valade, E., Bouazza, N., Foissac, F., Blanche, S., Treluyer, J. M., & Benaboud, S. (2015). Physiologically-based pharmacokinetic modeling of renally excreted antiretroviral drugs in pregnant women. British journal of clinical pharmacology, 80(5), 1031–1041.

 Simcyp Version

V13

 Published Model Application

Prediction of exposure in pregnancy

 Absorption Model

First Order

 Volume of Distribution Details

Full PBPK

 Route of Elimination

  • Renal Elimination
  • Includes uptake by OCT2 and efflux by MRP4 in the kidney

 Perpetrator DDI

  • None 

 Advantages and Limitations

  • Model developed in healthy volunteers and verified in pregnant women.

 Model Compound Files

  • v13_res_lamivudine_simcyp_mendex2015

Version 17

 

 Publication

De Sousa Mendes M, Chetty M. Are Standard Doses of Renally-Excreted Antiretrovirals in Older Patients Appropriate: A PBPK Study Comparing Exposures in the Elderly Population With Those in Renal Impairment. Drugs R D. 2019 Dec;19(4):339-350.

 Simcyp Version

V17

 Published Model Application

Prediction of exposure in renal impairment

 Absorption Model

First Order

 Volume of Distribution Details

Full PBPK

 Route of Elimination

  • Renal Elimination
  • Additional non-specific clearance

 Perpetrator DDI

  • None 

 Advantages and Limitations

  • Model developed to extrapolate elderly populations and renally impaired populations.
  • Model was verified in the elderly population

 Model Compound Files

  • v17_res_ lamivudine_simcyp_mendex2019

Version 18

 Publication

Shah, K., Fischetti, B., Cha, A., & Taft, D. R. (2020). Using PBPK Modeling to Predict Drug Exposure and Support Dosage Adjustments in Patients With Renal Impairment: An Example with Lamivudine. Current drug discovery technologies, 17(3), 387–396.

 Simcyp Version

V18

 Published Model Application

Prediction of exposure in renal impairment

 Absorption Model

First Order

 Volume of Distribution Details

Full (mechanistic kidney model)

 Route of Elimination

  • Renal Elimination
  • Includes uptake by OCT2 and efflux by MATE in the kidney

 Perpetrator DDI

  • None 

 Advantages and Limitations

  • Model developed to renally impaired populations.

 Model Compound Files

  • v18_res_ lamivudine_simcyp_shah2020

Brand Name(s) include: Selzentry

Disease: HIV

Drug Class: HIV Entry and Fusion Inhibitor

Date of Review: 2020

Number of Models Reviewed: 3

Number of Models added to the Repository: 1

The model at-a-glance

 Publication

Kimoto, E., Vourvahis, M., Scialis, R. J., Eng, H., Rodrigues, A. D., & Varma, M. V. S. (2019). Mechanistic Evaluation of the Complex Drug-Drug Interactions of Maraviroc: Contribution of Cytochrome P450 3A, P-Glycoprotein and Organic Anion Transporting Polypeptide 1B1. Drug metabolism and disposition: the biological fate of chemicals, 47(5), 493–503.

 Simcyp Version

V15

 Published Model Application

DDI prediction

 Absorption Model

ADAM; includes P-gp in the intestines

 Volume of Distribution Details

Full PBPK

 Route of Elimination

  • CYP3A4
  • Renal clearance
  • Includes hepatic biliary clearance by OATP1B1

 Advantages and Limitations

  • Model was developed to evaluate DDI of maraviroc as victim.
  • Model was verified with IV and oral data.
  • Model was verified as a victim of interactions with ketoconazole, ritonavir, efavirenz and rifampin

 Model Compound Files

  • v15_res_maraviroc_simcyp_kimoto
  • v15_res_maraviroc_simcyp_kimoto_iv_3mg
  • v15_res_maraviroc_simcyp_kimoto_iv_10mg
  • v15_res_maraviroc_simcyp_kimoto_iv_30mg
  • v15_res_maraviroc_simcyp_kimoto_po_150mg_bid

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