A Quantitative Systems Pharmacology Model to Study the Efficacy of Therapies for the Treatment of Autoimmune Disease

Webinar Details

This webinar was hosted by the International Society of Pharmacometrics (ISoP) and recorded on Thursday, March 21, 2024.


  • Michelle Przedborski, PhD, Principal Scientist - Modeling at Applied BioMath
  • Saheli Sarkar, PhD, Principal Scientist - Biology at Applied BioMath

Abstract: The development of therapeutic antagonists that target BAFF and APRIL to treat autoimmune disease is still in its infancy, and many questions remain about their mechanisms of action and pharmacodynamic (PD) profiles, and how to optimize their efficacy. We developed a quantitative systems pharmacology model to mechanistically link the drug exposure profile to the PD effects for Atacicept and ALPN-303 for the treatment of autoimmune disease. The model was calibrated to the publicly available data for these molecules. Model simulations capture trends in the clinical PD data for both molecules, indicating that a single model structure can predict the effects of different molecules targeting BAFF and APRIL.


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