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University of the Pacific Theses and Dissertations

Theses/Dissertations

Pharmacokinetics

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Full-Text Articles in Pharmacy and Pharmaceutical Sciences

The Role Of Aryl Hydrocarbon Receptor (Ahr) In Drug-Drug Interaction And The Expression Of Ahr In Pichia Pastoris, Yujuan Zheng Jan 2019

The Role Of Aryl Hydrocarbon Receptor (Ahr) In Drug-Drug Interaction And The Expression Of Ahr In Pichia Pastoris, Yujuan Zheng

University of the Pacific Theses and Dissertations

The aryl hydrocarbon receptor is a ligand-activated transcription factor that is involved in many important functions in the body. To study the role and function of AHR, an abundant amount of in vitro expressed and purified protein is needed. A baculovirus insect expression system is commonly employed to express AHR, however, there are several drawbacks with this method, such as mutation potential and high cost. A better in overexpression system is needed and we hypothesize that Pichia pastoris, a yeast expression system, could stably express AHR and ARNT (aryl hydrocarbon receptor nuclear translocator) in sufficient amount with reasonable cost. Codon …


Evaluation Of 10-Fold Cross Validation And Prediction Error Sums Of Squares Statistic For Population Pharmacokinetic Model Validation, Shibani Harite Jan 2003

Evaluation Of 10-Fold Cross Validation And Prediction Error Sums Of Squares Statistic For Population Pharmacokinetic Model Validation, Shibani Harite

University of the Pacific Theses and Dissertations

It was the objective of the current study to evaluate the ability of 10-fold cross validation and prediction error sum of squares (PRESS) statistic to identify population pharmacokinetic models (PPKM) that were estimated from data without influence observations versus PPKMs from data containing influence observations. The evaluation of 10-fold cross validation and PRESS statistic from Leave-one-out cross-validation for PPK model validation was performed in 3 Phases. In Phase 1 model parameters (theta and clearance) were estimated for datasets with and without influence observations. It was found that influence observations caused an over-estimation of the model parameters.