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 30 Matches

Hyperforin_V17R1_UniversityOfSydney_20190131

Model Files Publication

The submitted compound file describes the PBPK model for hyperforin (from St John's wort extract). The PBPK model implements first-order absorption model, full-PBPK (method 2) for its distribution and total CLint in HLM (whole organ metabolic clearance) calculated by the retrograde approach. The model accounts for the induction of CYP3A4, 2C9 and 2C19. It has been verified using the healthy population library available in Simcyp SImulator by default. The predictive performance of this model to predict herb-drug interactions with St John's wort was evaluated across a range of CYP substrates as detailed in the publication. https://link.springer.com/article/10.1007%2Fs40262-019-00736-6

Search Score: 1

ValproicAcid_V21R1_NationalTaiwanUniversity_20231012

Model Files Publication

Three compound files for adults and 3 files for paediatrics are available for the parent compounds, Valproic Acid, reflecting the inputs required for EC tablets, tablets, and capsules, respectively. A compound file for the metabolite, 4-ene-Valproid Acid is available too. Details on the model assumptions and verification in V21R1 are available in the corresponding reference (DOI: 10.1002/psp4.13045) and supplement material on the journal (CPT: Pharmacometrics & Systems Pharmacology) website.

Physiologically based mechanistic insight into differential risk of valproate hepatotoxicity between children and adults: A focus on ontogeny impact - PubMed (nih.gov)

Search Score: 1

Proguanil

Model Files Publication

Brand Name(s) include : Malarone (fixed dose combination with atovaquone)

Disease: Malaria, prophylaxis against Plasmodium falciparum in travelers

Drug Class: Antimalarials

Date Updated: March 2022

Related Files: Cycloguanil (metabolite of proguanil), Atovaquone (drug partner in fixed dose combinations)

Model at-a-glance

Absorption Model	First-Order
Volume of Distribution	Full PBPK (Method 2) Note: Kp scalar used
Route of Elimination	CYP2C19, CYP3A4, renal clearance
Perpetrator DDI	CYP2D6 Inhibitor
Validation	Proguanil and cycloguanil files were built using in vitro and clinical (Jeppersen et al., 1997) data 3 clinical studies describing single and multiple dose exposure of proguanil were used to verify the PBPK model. 66% of studies were within 2-fold, of which 33% were within 1.5-fold. A clinical DDI study where proguanil was the victim of a CYP2C19-mediated DDI was accurately recovered using the PBPK model.
Limitations	Prediction of proguanil exposure was complicated by not knowing the polymorphism classification of subjects in each study, hence the model performance was deemed acceptable using the criteria of being within 2-fold of observed. Verification needed for perpetrator DDI assessment as literature data is unavailable at this time With a large CL_Rcomponent and chemical relation to metformin, we hypothesise that proguanil may be a substrate for active transport in the kidney. However, owing to a lack of mechanistic information relating to active transport this cannot be built into the model.
Updates in V19	Modification of fm values Model converted from minimal to full PBPK distribution model Updated CYP2D6 IC50

Search Score: 1

Cycloguanil

Model Files Publication

Brand Name(s) include: N/A

Disease: Malaria

Drug Class: Antimalarials

Date Updated: March 2022

Related drugs: Proguanil

The model at-a-glance

Absorption Model	First-Order
Volume of Distribution	Full PBPK (Method 2)
Route of Elimination	Formed by CYP2C19, CYP3A4; unknown clearance mechanism
Perpetrator DDI	CYP2D6 Inhibitor
Validation	Proguanil and cycloguanil files were built using in vitro and clinical (Jeppersen et al., 1997) data 5 clinical studies describing single and multiple dose exposure of cycloguanil were used to verify the PBPK model. 60% of studies were within 2-fold, of which 40% were within 1.5-fold. A clinical DDI study where proguanil was the victim of a CYP2C19-mediated DDI was accurately recovered using the PBPK model.
Limitations	Prediction of cycloguanil exposure was complicated by not knowing the polymorphism classification of subjects in each study, hence the model performance was deemed acceptable using the criteria of being within 2-fold of observed. Verification needed for perpetrator DDI assessment as literature data is unavailable at this time
Updates in V19	Recalculated fm values using the corrected dose administered in Jeppesen et al., 1997 Previous version used paper calculation of total clearance which did not account for the weight of the salt in the 200 mg dose administered Model converted from minimal to full PBPK distribution model Updated in vitro data Updated CYP2D6 IC₅₀

Search Score: 1

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Hyperforin_V17R1_UniversityOfSydney_20190131

ValproicAcid_V21R1_NationalTaiwanUniversity_20231012

Proguanil

Model at-a-glance

Cycloguanil

The model at-a-glance

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