Live Webinar

Drug Discovery and Development with MATLAB and SimBiology
05.08.2020 | 15:00-16:00 (GMT+8)
Online via Webex


About the Event

Drug discovery and development increasingly includes modeling aspects to identify drug targets, characterize drugs, evaluate drug candidates and guide the design of experimental trials.

Pharmacokinetic/pharmacodynamics (PK/PD) modeling has proved to help predict the effect and efficacy of drug dosing over time. However, Quantitative Systems Pharmacology (QSP) has emerged at the crossroads between traditional PK/PD and mechanistic systems biology modeling.


Simbiology 2


It combines a mechanistic model of disease pathophysiology, PK/PD of a therapeutic agent, and quantitative experimental data. The resulting model can be used to run simulations to understand how drugs modify cellular networks and how they are impacted by the (patho)physiology, the significant pathways, and the impact of drug parameters and biological variance on drug efficacy and safety

In this webinar we will demonstrate how to:

  • Building compartmental and mechanistic models
  • Estimating parameters using Nonlinear Regression and Nonlinear mixed effects modelling
  • Simulating virtual populations and ‘what if’ scenarios
  • Automating tasks or creating customized analyses using scripts
  • Creating Web apps to share simulation capabilities with non-modelers.

The Speaker


Save Your Seat