MATLAB: Mechanistic PK/PD and QSP Modeling with SimBiology

Friday, June 20, 2025 | 12pm - 1pm

Virtual via Zoom: CLICK TO JOIN

 

Join MAPTA for the final installment of our MATLAB series! This seminar will introduce SimBiology as a software environment for mechanistic pharmacokinetic (PK), pharmacodynamic (PD) and quantitative systems pharmacology (QSP) modeling and simulation. Our hosts will discuss how to perform model evaluation using both qualitative and quantitative methods to aid in model calibration to experimental data, calculate profile likelihood confidence intervals, and compute model predictions. For this session, we will use a PBPK/PD model published in [1], that characterizes the whole-body–to-intracellular PK-PD actions of GalNAc-siRNA, a novel siRNA being studied to treat various rare diseases. As well as the Phase I clinical trial data published in [2], which evaluates the pharmacokinetics, pharmacodynamics, and safety profile of Vutrisiran, to treat TTR-mediated amyloidosis. This session is aimed at those new to SimBiology who are looking to understand the available methods as well as existing SimBiology users who want to learn about recent updates.

 Highlights

  • Parameter scans to build model intuition
  • Global sensitivity analysis to identify key parameters
  • Parameter estimation and confidence interval calculation
  • Q&A discussion

 

[1] Ayyar, Vivaswath S., et al. "Minimal physiologically based pharmacokinetic-pharmacodynamic (mPBPK-PD) model of N-Acetylgalactosamine–Conjugated small interfering RNA disposition and gene silencing in preclinical species and humans." Journal of Pharmacology and Experimental Therapeutics 379.2 (2021): 134-146.

[2] Habtemariam, Bahru A., et al. "Singledose pharmacokinetics and pharmacodynamics of transthyretin targeting Nacetylgalactosamine–small interfering ribonucleic acid conjugate, vutrisiran, in healthy subjects." Clinical Pharmacology & Therapeutics 109.2 (2021): 372-382.


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• +1 346 248 7799 US (Houston)

• 877 853 5257 US Toll-free

 

Meeting ID: 936 0861 8956

Passcode: 634326