The SimBiology® desktop is a user interface with a set of integrated tools that are designed to facilitate building, simulating, and analyzing models of dynamic systems such as pharmacokinetic/pharmacodynamic (PK/PD) and mechanistic systems biology models. It lets you build models interactively and perform model analyses such as simulation, sensitivity calculation, and parameter estimation. You can also build standalone applications for model distribution and simulation.
|Open SimBiology desktop for modeling and simulation|
You can build, simulate, and analyze models of dynamic systems using a set of integrated tools in the SimBiology desktop.
The SimBiology desktop displays models, task results, and external data in the workspace area and the task information in the task editor.
The SimBiology desktop provides various tools for model building and error checking, and context-sensitive help for more information.
You can change the desktop settings that apply to all projects.
The SimBiology libraries are collections of built-in components that you can use to build and analyze models.
The SimBiology desktop provides keyboard shortcuts for various modeling actions.
You can analyze models of dynamic systems using built-in analysis tools and create standalone applications for model distribution and simulation.
The Task Editor lets you configure task settings, run the tasks, and visualize live simulation results as a task is running.
The SimBiology desktop provides several built-in tasks for model simulation and analyses.
For each task, you can configure model-related settings, simulation-related settings, and task-specific settings.
You can run tasks to analyze models of dynamic systems and explore them using various exploration tools.
There are two types of data in the SimBiology desktop: external data that you can import from experiments and task results generated by each task after it finishes running.
NCA (noncompartmental analysis) lets you calculate pharmacokinetic parameters of a drug without requiring the assumption of a compartmental model.