國立清華大學 數學系

Abstract In living cells, large numbers of reactions are connected by sharing substrates or product chemicals, forming complex networks. On the other hand, the dynamics resulting from such complicated networks is not understood sufficiently, mainly because quantitative details on reaction rate functions are still not known. One approach to circumvent this situation is a structural approach that can make theoretical predictions from network topology of chemical reactions without assuming details of kinetics. In this talk, I will start from the basics of chemical reaction network theory, and explain our recent studies of structural methods, which enable steady-state sensitivity analysis and bifurcation analysis based on network topology.