September 18-20, 2018
Applied BioMath Presence
Presentation by Dr. John M. Burke
September 19, 2018 | 9:30-10:00AM
Presentation Title: Model Aided Drug Invention (MADI) Case Studies in Research: In Silico Differentiation for Dual Targeting PD-1 and Tim-3 in I/O, and Predicting Optimal Drug Properties of a Bispecific Biologic to Maximize Tissue Targeting in OA
- MADI is a rigorous fit-for-purpose model development process which aims to quantitatively integrate knowledge about therapeutics with an understanding of its mechanism of action in the context of human disease mechanisms.
- Exploring two case studies that highlight examples of MADI efforts that have de-risked projects, accelerated the discovery and development of best-in-class therapeutics, and impacted critical decisions, in the continuum from preclinical exploration to clinical research.
- Integrating systems modeling to predict optimal drug properties targeting PD-1 and TIM3 in immuno-oncology for bispecific biologics and fixed dose combinations.
- Investigating MADI approaches to determine best in class properties for targeted anabolic growth factor to arthritic joints