Industrial and Applied Math

Date: October 8, 2018

Time: 4:00PM - 5:00PM

Location: BLOC 117

Speaker: Jonathan Tyler, Texas A&M

Title: Mathematical Modeling in the Pharmaceuticals

Abstract: Mathematical models are used in each step of the drug discovery process to expedite and optimize drug development. Currently, the TransQST (Translational Quantitative Systems Toxicology) consortium is facilitating one such effort to develop open source quantitative systems toxicology (QST) models of four organ systems: GI-immune, heart, kidney, and liver. In this talk, I will give a brief introduction to how math models are used in the drug development process. I will then talk about my summer internship project with Boehringer Ingelheim to make the current TransQST GI-immune model more precise and practical through the addition of key immune species such as cytokines and Th2 cells. Finally, I will present three simulations that address pharmacological issues: (1) Simulation of a Crohn’s patient taking a TNF-alpha inhibitor to address the drug's immunosuppressive action, (2) Sensitivity analysis to help guide in vivo and in vitro experiments, and (3) Generation of virtual parameter sets to address drug efficacy across a population.