Using SimBiology for Mechanism-Based PK/PD Modeling in Preclinical & Discovery - MATLAB
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    Using SimBiology for Mechanism-Based PK/PD Modeling in Preclinical & Discovery

    Drug developers are moving towards mechanism-based drug discovery, using mechanistic or semi-mechanistic models of drug action and efficiency to extend traditional PK modeling techniques.  These mechanism-based models are more suitable for prediction and extrapolation than pure empirical approaches.  In this webinar, you learn how to use SimBiology and MATLAB to implement mechanism-based PK/PD modeling workflows.

    Using a modeling and simulation case-study from literature, we demonstrate:

    • Building mechanism-based PK/PD models using an interactive block-diagram editor
    • Estimating parameters by fitting experimental data
    • Simulating different dosing strategies
    • Exploring system dynamics using parameter sweeps & sensitivity analysis
    • Automating and customizing analyses using MATLAB

    We also highlight new features in SimBiology 2012a including:

    • Simulation Viewer – a interactive visualization tool for model exploration
    • Weighted fitting
    • Simultaneously fitting data from multiple dose levels

    Recorded: 26 Mar 2012

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