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 9 Matches

Quinine

Model Files Publication

Brand Name(s) include: Qualaquin

Disease: Malaria

Drug Class: Antimalarials

Date Updated: 2021

The model at-a-glance

Absorption Model	First-Order
Volume of Distribution	Minimal PBPK (Method 1)
Route of Elimination	CYP3A4 (fm = 0.50); renal clearance (fe = 0.1)
Perpetrator DDI	CYP2D6 Inhibitor
Validation	Three clinical studies describing Quinine PK were identified for model verification. Three clinical DDI studies where quinine was the victim of CYP-mediated DDIs were used to verify the PBPK model. All studies were well recovered with simulated Cmax and AUC GMRs within 1.5-fold of the observed
Limitations	The Simcyp quinine PBPK model was able to recover interactions CYP3A inducers and inhibitors with reasonable accuracy. Verification needed for perpetrator DDI assessment as literature data is unavailable at this time.
Updates in V19	Updated in vitrodata fup: 0.199 -> 0.37 Caco-2 A -> B Permeability: 70 x 10-6 cm/s -> 39 x 10-6 cm/s Propranolol reference Permeability: 101 x 10-6 cm/s -> 45 x 10-6 cm/s Minimal PBPK with Vss predicted through Method 1 Updated retrograde clearance

Search Score: 1

Dihydroartemisinin (DHA) from Artesunate

Model Files Publication

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

Search Score: 1

Rivaroxaban_V17R1_NationalUniversityofSingapore_20200923

Model Files Publication

https://dmd.aspetjournals.org/content/47/11/1291/tab-article-info This workspace was developed to recapitulate the magnitude of drug-drug interaction reported between Rivaroxaban and Verapamil as reported by Greenblatt et al. (https://pubmed.ncbi.nlm.nih.gov/29194698/) Note 1: In Table 1 of the publication the Caco-2 Papp (pH 7.4:7.4) was reported as 8 x 10-6 cm/s; however, the Rivaroxaban file in the workspace is using a Caco-2 Papp (pH 7.4:7.4) of 21.8 x 10-6 cm/s. This Papp is in line with the reported scalar in the EXCEL outputs and the Table 1. The obtained Rivaroxaban plasma concentration time profile is in line with the reported Figure 2C in the publication. Note 2: In Table 1 of the publication, input data for Mech KiM are stated; however, the Rivaroxaban file in the workspace is using a User Input for the renal clearance of 3.1 L/h; while the input data for Mech KiM are included in the compound file, they are not activated within the workspace, which is mimicking a DDI with Verapamil and Norverapamil. Note 3: Bile:micelle parameters were changed from 3.4 to 3.5.

Search Score: 1

Tramadol_V14R1_JohnsonandJohnson_20151029

Model Files Publication

V12 R1 compound file built to simulate adult Human PK and pediatric PK. Supplied file is for V14 R1. “Physiology-Based IVIVE Predictions of Tramadol from in Vitro Metabolism Data” in Pharm Res January 2015, Volume 32, Issue 1, pp 260-274 http://link.springer.com/article/10.1007%2Fs11095-014-1460-x “Physiologically Based Pharmacokinetic Predictions of Tramadol Exposure Throughout Pediatric Life: an Analysis of the Different Clearance Contributors with Emphasis on CYP2D6 Maturation.” in AAPSJ November 2015, Volume 17, Issue 6, pp 1376-1387 http://link.springer.com/article/10.1208%2Fs12248-015-9803-z

Search Score: 1

Search the PBPK Model Repository

Searching Tips

Quinine

The model at-a-glance

Dihydroartemisinin (DHA) from Artesunate

The model at-a-glance

Rivaroxaban_V17R1_NationalUniversityofSingapore_20200923

Tramadol_V14R1_JohnsonandJohnson_20151029

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