Mathematics of Biochemical Reaction Networks
Monday, June 14 at 5:45pm (PDT)Tuesday, June 15 at 01:45am (BST)Tuesday, June 15 09:45am (KST)
Matthew Johnston (Lawrence Technological University, United States), Angelyn Lao (De La Salle University, Phillipines)
Significant research has been conducted in recent years on relating the dynamical behavior of biochemical reaction systems, such as signal transduction cascades and gene regulatory networks, to the structure of the underlying network of interacting species. Such analysis can cut through the tremendous complexity inherent in biochemical mechanisms to identify the primary modules and pathways responsible for cellular function, such as apoptosis, circadian rhythms, and the cell cycle, and diseases like diabetes and cancer. Significantly challenges, however, remain in the mathematical analysis of such models as a result of the generally high dimensionality of the systems, parameter uncertainty, nonlinearities, and time-scale separations between reactions. In this session, we will give a forum to the latest advances in relating the dynamical behavior of biochemical reaction systems to the underlying reaction network.