SIMBIOLOGY
SimBiology provides tools for modeling, simulating, and analyzing QSP, PBPK, and PK/PD systems. Build models interactively or programmatically with MATLAB, and import SBML files. Simulate drug efficacy and safety, perform sensitivity analysis, and estimate parameters using nonlinear regression and mixed-effects techniques.
Build QSP, PBPK, and PK/PD Models
Build models in SimBiology Model Builder as you would on paper or import existing SBML models. Use dose and variant objects to apply dosing strategies and store alternative quantity values.
Simulate Model Behavior
Simulate using deterministic and stochastic solvers with SimBiology Model Analyzer or programmatic tools. Automatic unit conversion ensures consistent units across quantities, and you can generate reports from your analyses.
Fit Data to Estimate Parameters
Estimate parameters using nonlinear regression with local, global, or hybrid methods. Calculate parameter and prediction confidence intervals, and incorporate fixed and random effects using NLME (Nonlinear Mixed-Effects) modeling.
Perform Monte Carlo Simulations
Perform parameter scans and Monte Carlo simulations to assess model behavior under various conditions and dosing regimens. Use interactive sliders to explore how quantity variations impact the model response.
Global and Local Sensitivity Analysis
Explore the impact of model quantity variations on response through sensitivity analysis. SimBiology supports global, Monte Carlo, and local derivative-based analyses.
Noncompartmental Analysis
Compute PK parameters from drug concentration time courses without assuming a compartmental model. Perform Non-Compartmental Analysis (NCA) on experimental and simulation data for single or multiple dosing schemes.
Accelerate Simulations
Accelerate large models or Monte Carlo simulations by converting them to compiled C code. Enhance performance further by distributing across multiple cores, clusters, or cloud resources with Parallel Computing Toolbox.
Share Models as Web Apps
Create apps in App Designer, package them with MATLAB Compiler, and host them using MATLAB Web App Server. Collaborators can access and run apps in a browser without needing to install any software.
Community Tools
Use SimBiology with MATLAB scripts to customize and automate analyses. Leverage community-contributed tools, like virtual population simulations, as add-ons for model analysis.