gQSPSim: a SimBiology-based GUI app for standardized QSP model development and
application
Iraj Hosseini, PhD and Justin Feigelman, PhD
Scientists at Genentech, Inc
Wednesday, April 15, 2020, 12:00 to 1:00 pm EDT
Register for free at
https://register.gotowebinar.com/register/5872881235744396299?source=website
Abstract:
Quantitative Systems Pharmacology (QSP) models are often implemented using a
wide variety of technical workflows and methodologies. To facilitate
reproducibility, transparency, portability, and reuse for QSP models, we have
developed gQSPSim, a GUI-based MATLAB(r) application that performs key steps in
QSP model development and analyses.
The capabilities of gQSPSim include 1) model calibration using global and local
optimization methods, 2) development of virtual subjects to explore variability
and uncertainty in the represented biology, and 3) simulations of virtual
populations for different interventions. gQSPSim works with SimBiology(r)-built
models, utilizing components such as species, doses, variants, and rules. All
functionalities are equipped with an interactive visualization interface and
the ability to generate presentation-ready figures. In addition, standardized
gQSPSim sessions can be shared or saved for future extension and reuse.
In this work, we demonstrate gQSPSim's capabilities with a standard
target-mediated drug disposition model and a published model of anti-PCSK9
treatment of hypercholesterolemia.