Journal: Frontiers in Pharmacology

Article Title: Applications of linking PBPK and PD models to predict the impact of genotypic variability, formulation differences, differences in target binding capacity and target site drug concentrations on drug responses and variability

doi: 10.3389/fphar.2014.00258

Figure Lengend Snippet: Parameters used for the Metoprolol PBPK model (Simcyp V12).

Article Snippet: Simcyp Parameter Estimation module (using weighted least square objective function and Nelder–Mead optimization methods) was used to determine the values of τ, Em and n in addition to the effect compartment elimination rate (keo) to account for hysteresis in the response, using published data ( ; ).

Techniques: Molecular Weight, Clinical Proteomics, Binding Assay

Journal: Frontiers in Pharmacology

Article Title: Applications of linking PBPK and PD models to predict the impact of genotypic variability, formulation differences, differences in target binding capacity and target site drug concentrations on drug responses and variability

doi: 10.3389/fphar.2014.00258

Figure Lengend Snippet: Parameters used for the zolpidem PBPK model (Simcyp V12).

Article Snippet: Simcyp Parameter Estimation module (using weighted least square objective function and Nelder–Mead optimization methods) was used to determine the values of τ, Em and n in addition to the effect compartment elimination rate (keo) to account for hysteresis in the response, using published data ( ; ).

Techniques: Molecular Weight, Clinical Proteomics, Binding Assay, Transduction

Journal: Frontiers in Pharmacology

Article Title: Applications of linking PBPK and PD models to predict the impact of genotypic variability, formulation differences, differences in target binding capacity and target site drug concentrations on drug responses and variability

doi: 10.3389/fphar.2014.00258

Figure Lengend Snippet: Parameters used for the Nifedipine PBPK model (Simcyp V12).

Article Snippet: Simcyp Parameter Estimation module (using weighted least square objective function and Nelder–Mead optimization methods) was used to determine the values of τ, Em and n in addition to the effect compartment elimination rate (keo) to account for hysteresis in the response, using published data ( ; ).

Techniques: Molecular Weight, Clinical Proteomics, Binding Assay, Formulation, Transduction

Journal: Frontiers in Pharmacology

Article Title: Applications of linking PBPK and PD models to predict the impact of genotypic variability, formulation differences, differences in target binding capacity and target site drug concentrations on drug responses and variability

doi: 10.3389/fphar.2014.00258

Figure Lengend Snippet: Parameters used for the triazolam PBPK model (Simcyp V12).

Article Snippet: Simcyp Parameter Estimation module (using weighted least square objective function and Nelder–Mead optimization methods) was used to determine the values of τ, Em and n in addition to the effect compartment elimination rate (keo) to account for hysteresis in the response, using published data ( ; ).

Techniques: Molecular Weight, Clinical Proteomics, Binding Assay, Transduction

Journal: Frontiers in Pharmacology

Article Title: Applications of linking PBPK and PD models to predict the impact of genotypic variability, formulation differences, differences in target binding capacity and target site drug concentrations on drug responses and variability

doi: 10.3389/fphar.2014.00258

Figure Lengend Snippet: Parameters used for the Quinidine PBPK model (Simcyp V12).

Article Snippet: Simcyp Parameter Estimation module (using weighted least square objective function and Nelder–Mead optimization methods) was used to determine the values of τ, Em and n in addition to the effect compartment elimination rate (keo) to account for hysteresis in the response, using published data ( ; ).

Techniques: Molecular Weight, Clinical Proteomics, Binding Assay