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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An optimized Rosuvastatin (V19) model was used and DDIs predominantly driven by gut BCRP inhibition are reasonably recovered. Altogether, the following inhibitors were used: Capmatinib Fenebrutinib Fostamatinib Itraconazole Zepatier The workspace represents the DDI between Rosuvastatin and Zepatier. Zepatier is an antiviral medicine that contains the active substances elbasvir and grazoprevir. The two compounds were simulated as Inhibitor 1 and Inhibitor 2, respectively. Link to the publication with further details: http://doi.org/10.1002/psp4.12672
Compound files from publication: Physiologically Based Pharmacokinetic Modeling for Predicting the Effect of Intrinsic and Extrinsic Factors on Darunavir or Lopinavir Exposure Coadministered With Ritonavir Wagner, C., Zhao, P., Arya, V., Mullick, C., Struble, K. and Au, S (2017). https://doi.org/10.1002/jcph.936 /PMID: 28569994 These two files were used in combination (linked models). Note: Darunavir model also has fu,mic for DDI, and induction parameters for CYP1A that were not captured in Supplemental Table 1. Correction: Ritonavir's pKa2 should be 2.6 instead of 2.8 in Suppl. Table 1. https://accp1.onlinelibrary.wiley.com/doi/full/10.1002/jcph.936
Brand Name(s) include: Zithromax
Disease: Malaria
Drug Class: Marcolide Antibiotic
Date Updated: March 2021
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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
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