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: Note that gPKPDSim provides PKPD M&S capabilities to users in an organization with access to SimBiology ® /MATLAB ® at no additional cost; however, each organization has to make an informed investment based on their needs in software tools such as SimBiology ® /MATLAB ® and others that have costs associated with them.

Techniques:

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: Description of the components within the gPKPDSim framework

Article Snippet: Note that gPKPDSim provides PKPD M&S capabilities to users in an organization with access to SimBiology ® /MATLAB ® at no additional cost; however, each organization has to make an informed investment based on their needs in software tools such as SimBiology ® /MATLAB ® and others that have costs associated with them.

Techniques: Generated

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: Note that gPKPDSim provides PKPD M&S capabilities to users in an organization with access to SimBiology ® /MATLAB ® at no additional cost; however, each organization has to make an informed investment based on their needs in software tools such as SimBiology ® /MATLAB ® and others that have costs associated with them.

Techniques:

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 summary of different settings in gPKPDSim

Article Snippet: Note that gPKPDSim provides PKPD M&S capabilities to users in an organization with access to SimBiology ® /MATLAB ® at no additional cost; however, each organization has to make an informed investment based on their needs in software tools such as SimBiology ® /MATLAB ® and others that have costs associated with them.

Techniques: Selection, Variant Assay

Journal: IEEE Control Systems

Article Title: How does control timing affect performance? Analysis and simulation of timing using Jitterbug and TrueTime

doi: 10.1109/mcs.2003.1200240

Figure Lengend Snippet: Figure 8. The TrueTime block library. The Schedule and Monitor outputs display the allocation of commonresources (CPU,monitors, network) during the simulation.

Article Snippet: Taking a different approach, the MATLAB/Simulink-based tool TrueTime facilitates simulation of the temporal behavior of a multitasking real-time kernel executing controller tasks.

Techniques: Blocking Assay

Journal: IEEE Control Systems

Article Title: How does control timing affect performance? Analysis and simulation of timing using Jitterbug and TrueTime

doi: 10.1109/mcs.2003.1200240

Figure Lengend Snippet: Figure 12. The dialog of the TrueTime Network block.

Article Snippet: Taking a different approach, the MATLAB/Simulink-based tool TrueTime facilitates simulation of the temporal behavior of a multitasking real-time kernel executing controller tasks.

Techniques: Blocking Assay

Journal: IEEE Control Systems

Article Title: How does control timing affect performance? Analysis and simulation of timing using Jitterbug and TrueTime

doi: 10.1109/mcs.2003.1200240

Figure Lengend Snippet: Figure 13. TrueTime simulation of the networked control system. The poor control performance is aresultofdelayscausedbycollidingnetworktransmissionsandpreemptioninthecontrollernode.

Article Snippet: Taking a different approach, the MATLAB/Simulink-based tool TrueTime facilitates simulation of the temporal behavior of a multitasking real-time kernel executing controller tasks.

Techniques: Control