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gpkpdsim  (Genentech inc)

 
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    Genentech inc gpkpdsim
    A schematic workflow of how modelers and end-users employ <t>gPKPDSim.</t> The expert modeler develops the model in SimBiology ® and encapsulates it into a “Session” file, which can be launched in gPKPDSim by end-users. The Session file, once loaded in gPKPDSim, enables the end-user to perform different functionalities, including simulation, data fitting (parameter estimation), population simulation, and NCA. For some of these functionalities, the user must provide a dataset. All the functionalities are supported by features such as interactive visualization, and export of results as presentation-ready figures and Excel datasets. When the user completed their tasks, the session file can be saved for future use. Note that the end-user works exclusively in the environment of gPKPDSim
    Gpkpdsim, supplied by Genentech inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/gpkpdsim/gpkpdsim/pmc05845055-330-40-39
    Average 90 stars, based on 1 article reviews
    gpkpdsim - by Bioz Stars, 2026-10
    90/100 stars

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    1) Product Images from "gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development"

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development

    Journal: Journal of Pharmacokinetics and Pharmacodynamics

    doi: 10.1007/s10928-017-9562-9

    A schematic workflow of how modelers and end-users employ gPKPDSim. The expert modeler develops the model in SimBiology ® and encapsulates it into a “Session” file, which can be launched in gPKPDSim by end-users. The Session file, once loaded in gPKPDSim, enables the end-user to perform different functionalities, including simulation, data fitting (parameter estimation), population simulation, and NCA. For some of these functionalities, the user must provide a dataset. All the functionalities are supported by features such as interactive visualization, and export of results as presentation-ready figures and Excel datasets. When the user completed their tasks, the session file can be saved for future use. Note that the end-user works exclusively in the environment of gPKPDSim
    Figure Legend Snippet: A schematic workflow of how modelers and end-users employ gPKPDSim. The expert modeler develops the model in SimBiology ® and encapsulates it into a “Session” file, which can be launched in gPKPDSim by end-users. The Session file, once loaded in gPKPDSim, enables the end-user to perform different functionalities, including simulation, data fitting (parameter estimation), population simulation, and NCA. For some of these functionalities, the user must provide a dataset. All the functionalities are supported by features such as interactive visualization, and export of results as presentation-ready figures and Excel datasets. When the user completed their tasks, the session file can be saved for future use. Note that the end-user works exclusively in the environment of gPKPDSim

    Techniques Used:

    gPKPDSim: simulation functionality view. This view has multiple sections: 1 ) general settings (top left); 2 ) functionality-specific settings including simulation time and parameter values (bottom left); 3 ) plot settings including species from the SimBiology ® model and dataset groups and column headers (top right); 4 ) non-compartmental analysis (NCA, bottom right); 5 ) profile notes including a list of most recent simulations and their detailed summary (bottom middle); and 6 ) interactive plots (top middle). See “ ” for detailed description of each section
    Figure Legend Snippet: gPKPDSim: simulation functionality view. This view has multiple sections: 1 ) general settings (top left); 2 ) functionality-specific settings including simulation time and parameter values (bottom left); 3 ) plot settings including species from the SimBiology ® model and dataset groups and column headers (top right); 4 ) non-compartmental analysis (NCA, bottom right); 5 ) profile notes including a list of most recent simulations and their detailed summary (bottom middle); and 6 ) interactive plots (top middle). See “ ” for detailed description of each section

    Techniques Used:

    NCA results for the sparse sampling scheme from gPKPDSim and WinNonlin ® (two sets of NCA parameters corresponding to two groups)
    Figure Legend Snippet: NCA results for the sparse sampling scheme from gPKPDSim and WinNonlin ® (two sets of NCA parameters corresponding to two groups)

    Techniques Used: Sampling

    NCA results for the serial sampling scheme from gPKPDSim (two groups × three animals = six sets of NCA parameters)
    Figure Legend Snippet: NCA results for the serial sampling scheme from gPKPDSim (two groups × three animals = six sets of NCA parameters)

    Techniques Used: Sampling

    Estimated AUC values for the period of 0–28 days of a 10 mg/kg 4qw IV dosing regimen under different conditions (Fig. <xref ref-type= 4 c and e)" title="Estimated AUC values for the period of 0–28 days of a 10 mg/kg ... " property="contentUrl" width="100%" height="100%"/>
    Figure Legend Snippet: Estimated AUC values for the period of 0–28 days of a 10 mg/kg 4qw IV dosing regimen under different conditions (Fig. 4 c and e)

    Techniques Used:

    gPKPDSim settings used for Case Study #2
    Figure Legend Snippet: gPKPDSim settings used for Case Study #2

    Techniques Used:

    gPKPDSim settings used for Case Study #3
    Figure Legend Snippet: gPKPDSim settings used for Case Study #3

    Techniques Used: Inhibition

    Related Articles

    Sampling:

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development
    Article Snippet: The population simulation functionality in gPKPDSim is intended for evaluation of parameter variability on PKPD predictions primarily in the preclinical and translational settings; this functionality should not be used for applications that require a formal population PK model. At Genentech, gPKPDSim was initially developed for and is now regularly used by PKPD scientists working on preclinical/translational PKPD of biologics and large molecules.

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development
    Article Snippet: We have developed a GUI-based application called gPKPDSim (Genentech PKPD Simulator) to broaden utilization of preclinical and translational PKPD models in drug development.

    Inhibition:

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development
    Article Snippet: The population simulation functionality in gPKPDSim is intended for evaluation of parameter variability on PKPD predictions primarily in the preclinical and translational settings; this functionality should not be used for applications that require a formal population PK model. At Genentech, gPKPDSim was initially developed for and is now regularly used by PKPD scientists working on preclinical/translational PKPD of biologics and large molecules.

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development
    Article Snippet: We have developed a GUI-based application called gPKPDSim (Genentech PKPD Simulator) to broaden utilization of preclinical and translational PKPD models in drug development.

    Generated:

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development
    Article Snippet: The population simulation functionality in gPKPDSim is intended for evaluation of parameter variability on PKPD predictions primarily in the preclinical and translational settings; this functionality should not be used for applications that require a formal population PK model. At Genentech, gPKPDSim was initially developed for and is now regularly used by PKPD scientists working on preclinical/translational PKPD of biologics and large molecules.

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development
    Article Snippet: We have developed a GUI-based application called gPKPDSim (Genentech PKPD Simulator) to broaden utilization of preclinical and translational PKPD models in drug development.



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    gpkpdsim  (Genentech inc)
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    Genentech inc gpkpdsim
    A schematic workflow of how modelers and end-users employ <t>gPKPDSim.</t> The expert modeler develops the model in SimBiology ® and encapsulates it into a “Session” file, which can be launched in gPKPDSim by end-users. The Session file, once loaded in gPKPDSim, enables the end-user to perform different functionalities, including simulation, data fitting (parameter estimation), population simulation, and NCA. For some of these functionalities, the user must provide a dataset. All the functionalities are supported by features such as interactive visualization, and export of results as presentation-ready figures and Excel datasets. When the user completed their tasks, the session file can be saved for future use. Note that the end-user works exclusively in the environment of gPKPDSim
    Gpkpdsim, supplied by Genentech inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/gpkpdsim/gpkpdsim/pmc05845055-330-40-39
    Average 90 stars, based on 1 article reviews
    gpkpdsim - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    A schematic workflow of how modelers and end-users employ gPKPDSim. The expert modeler develops the model in SimBiology ® and encapsulates it into a “Session” file, which can be launched in gPKPDSim by end-users. The Session file, once loaded in gPKPDSim, enables the end-user to perform different functionalities, including simulation, data fitting (parameter estimation), population simulation, and NCA. For some of these functionalities, the user must provide a dataset. All the functionalities are supported by features such as interactive visualization, and export of results as presentation-ready figures and Excel datasets. When the user completed their tasks, the session file can be saved for future use. Note that the end-user works exclusively in the environment of gPKPDSim

    Journal: Journal of Pharmacokinetics and Pharmacodynamics

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development

    doi: 10.1007/s10928-017-9562-9

    Figure Lengend Snippet: A schematic workflow of how modelers and end-users employ gPKPDSim. The expert modeler develops the model in SimBiology ® and encapsulates it into a “Session” file, which can be launched in gPKPDSim by end-users. The Session file, once loaded in gPKPDSim, enables the end-user to perform different functionalities, including simulation, data fitting (parameter estimation), population simulation, and NCA. For some of these functionalities, the user must provide a dataset. All the functionalities are supported by features such as interactive visualization, and export of results as presentation-ready figures and Excel datasets. When the user completed their tasks, the session file can be saved for future use. Note that the end-user works exclusively in the environment of gPKPDSim

    Article Snippet: The population simulation functionality in gPKPDSim is intended for evaluation of parameter variability on PKPD predictions primarily in the preclinical and translational settings; this functionality should not be used for applications that require a formal population PK model. At Genentech, gPKPDSim was initially developed for and is now regularly used by PKPD scientists working on preclinical/translational PKPD of biologics and large molecules.

    Techniques:

    gPKPDSim: simulation functionality view. This view has multiple sections: 1 ) general settings (top left); 2 ) functionality-specific settings including simulation time and parameter values (bottom left); 3 ) plot settings including species from the SimBiology ® model and dataset groups and column headers (top right); 4 ) non-compartmental analysis (NCA, bottom right); 5 ) profile notes including a list of most recent simulations and their detailed summary (bottom middle); and 6 ) interactive plots (top middle). See “ ” for detailed description of each section

    Journal: Journal of Pharmacokinetics and Pharmacodynamics

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development

    doi: 10.1007/s10928-017-9562-9

    Figure Lengend Snippet: gPKPDSim: simulation functionality view. This view has multiple sections: 1 ) general settings (top left); 2 ) functionality-specific settings including simulation time and parameter values (bottom left); 3 ) plot settings including species from the SimBiology ® model and dataset groups and column headers (top right); 4 ) non-compartmental analysis (NCA, bottom right); 5 ) profile notes including a list of most recent simulations and their detailed summary (bottom middle); and 6 ) interactive plots (top middle). See “ ” for detailed description of each section

    Article Snippet: The population simulation functionality in gPKPDSim is intended for evaluation of parameter variability on PKPD predictions primarily in the preclinical and translational settings; this functionality should not be used for applications that require a formal population PK model. At Genentech, gPKPDSim was initially developed for and is now regularly used by PKPD scientists working on preclinical/translational PKPD of biologics and large molecules.

    Techniques:

    NCA results for the sparse sampling scheme from gPKPDSim and WinNonlin ® (two sets of NCA parameters corresponding to two groups)

    Journal: Journal of Pharmacokinetics and Pharmacodynamics

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development

    doi: 10.1007/s10928-017-9562-9

    Figure Lengend Snippet: NCA results for the sparse sampling scheme from gPKPDSim and WinNonlin ® (two sets of NCA parameters corresponding to two groups)

    Article Snippet: The population simulation functionality in gPKPDSim is intended for evaluation of parameter variability on PKPD predictions primarily in the preclinical and translational settings; this functionality should not be used for applications that require a formal population PK model. At Genentech, gPKPDSim was initially developed for and is now regularly used by PKPD scientists working on preclinical/translational PKPD of biologics and large molecules.

    Techniques: Sampling

    NCA results for the serial sampling scheme from gPKPDSim (two groups × three animals = six sets of NCA parameters)

    Journal: Journal of Pharmacokinetics and Pharmacodynamics

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development

    doi: 10.1007/s10928-017-9562-9

    Figure Lengend Snippet: NCA results for the serial sampling scheme from gPKPDSim (two groups × three animals = six sets of NCA parameters)

    Article Snippet: The population simulation functionality in gPKPDSim is intended for evaluation of parameter variability on PKPD predictions primarily in the preclinical and translational settings; this functionality should not be used for applications that require a formal population PK model. At Genentech, gPKPDSim was initially developed for and is now regularly used by PKPD scientists working on preclinical/translational PKPD of biologics and large molecules.

    Techniques: Sampling

    Estimated AUC values for the period of 0–28 days of a 10 mg/kg 4qw IV dosing regimen under different conditions (Fig. <xref ref-type= 4 c and e)" width="100%" height="100%">

    Journal: Journal of Pharmacokinetics and Pharmacodynamics

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development

    doi: 10.1007/s10928-017-9562-9

    Figure Lengend Snippet: Estimated AUC values for the period of 0–28 days of a 10 mg/kg 4qw IV dosing regimen under different conditions (Fig. 4 c and e)

    Article Snippet: The population simulation functionality in gPKPDSim is intended for evaluation of parameter variability on PKPD predictions primarily in the preclinical and translational settings; this functionality should not be used for applications that require a formal population PK model. At Genentech, gPKPDSim was initially developed for and is now regularly used by PKPD scientists working on preclinical/translational PKPD of biologics and large molecules.

    Techniques:

    gPKPDSim settings used for Case Study #2

    Journal: Journal of Pharmacokinetics and Pharmacodynamics

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development

    doi: 10.1007/s10928-017-9562-9

    Figure Lengend Snippet: gPKPDSim settings used for Case Study #2

    Article Snippet: The population simulation functionality in gPKPDSim is intended for evaluation of parameter variability on PKPD predictions primarily in the preclinical and translational settings; this functionality should not be used for applications that require a formal population PK model. At Genentech, gPKPDSim was initially developed for and is now regularly used by PKPD scientists working on preclinical/translational PKPD of biologics and large molecules.

    Techniques:

    gPKPDSim settings used for Case Study #3

    Journal: Journal of Pharmacokinetics and Pharmacodynamics

    Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development

    doi: 10.1007/s10928-017-9562-9

    Figure Lengend Snippet: gPKPDSim settings used for Case Study #3

    Article Snippet: The population simulation functionality in gPKPDSim is intended for evaluation of parameter variability on PKPD predictions primarily in the preclinical and translational settings; this functionality should not be used for applications that require a formal population PK model. At Genentech, gPKPDSim was initially developed for and is now regularly used by PKPD scientists working on preclinical/translational PKPD of biologics and large molecules.

    Techniques: Inhibition