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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 117 Matches

V18 released Simcyp files for antiretroviral drugs

V18 released Simcyp files for antiretroviral drugs

Dolutegravir_RES_V23R1_Simcyp_20240404

Simcyp developed dolutegravir compound file. Compound summary including an outline on the current status and limitations included.

The RES-Dolutegravir model has been developed primarily as a UGT1A1 and CYP3A4 substrate, and as an inhibitor of renal MATE1 and OCT2 transporters. MATE1 and OCT2 inhibition parameters have been optimized to capture impact of dolutegravir on metformin pharmacokinetics but have not been independently verified. In vitro observed inhibition of MATE2-K by dolutegravir has not been included as the parameter could not be optimized and verified with the substrate models and clinical data available at the time of dolutegravir model development.

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

 

Doxycycline

Brand Name(s) include: Adoxa, Doryx, Monodox, Oracea, Periostat, Vibramycin, Vibra-tabs

Disease: Malaria

Drug Class: Antibiotic

Date Updated: June 2022

The model at-a-glance

  Absorption Model

  • First-Order

  Volume of Distribution

  • Full PBPK (Method 2)
  • Note: A Kp scalar (0.3) was used in the model

  Route of Elimination

  • Biliary = 66%; Renal= 44%

  Perpetrator DDI

  • None

  Validation

  • Seven clinical studies describing single and multiple dose exposure of doxycycline were used to verify the PBPK model. The model predicted AUC values in 86% of studies within 2-fold (100% if one simulated/observed ratio is rounded down from 1.52 to 1.5), of which 57% were within 1.5-fold. 

  Limitations

  • Model is not verified at doses below 100 mg or about 200 mg (dose-linearity of doxycycline is uncertain)
  • Model assumes hyclate, monohydrate and hydrochloride formulations are bioequivalent
  • Model is not developed for the prediction of IV doxycycline
  • Model was developed and verified primarily in healthy volunteer studies (except Newton et al. 2005); appropriateness of extrapolation to acute malaria patients is unknown

  Updates in V19

  • Updated in vitro­ data
    • fu: 0.142 -> 0.23
    • B:P: 1.5 -> 0.78
  • Converted from minimal PBPK model to full PBPK model
  • Elimination changed from user input IV clearance to retrograde clearance with biliary clearance and additional hepatic clearance

 

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