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 103 Matches

Hydroxychloroquine_V18R1_PekingUniversityThirdHospital_20220209
PBPK model of Hydroxychloroquine and its metabolite of Desethyl-hydroxychloroquine. This file is a further development of the file for Hydroxychloroquine (V18R1) also available within this database: In Vitro Antiviral Activity and Projection of Optimized Dosing Design of Hydroxychloroquine for the Treatment of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) - PubMed (nih.gov)
Hydroxychloroquine_V18R1_PekingUniversityThirdHospital_20200323
The HCQ file was developed by Peking University Third Hospital and kindly shared on our Members Area. Please cite the original reference in which the file was presented (see link to publication) and please share your simulation results ASAP. Considering the current public health situation, we are happy to coordinate the simulation efforts around this PBPK model. The submitted compound file for HCQ is using first order absorption model, full-PBPK, Method 2. Perfusion limited lung model was developed. Additional organ was defined as lung and changed the tissue blood rate flow as 0.2. Clearance of HLM was estimated based on fm. It has been verified with a Caucasian healthy volunteer population library that was unmodified from the Sim-Healthy Volunteer library file. Please note a custom dosing for 5 days has been included in the file. https://pubmed.ncbi.nlm.nih.gov/32150618/
Hyperforin_V17R1_UniversityOfSydney_20190131
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
Halofantrine_M-ADAM_V19R1_Genentech_20210323
See publication for additional details.

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