The goal of the talk is to discuss the benefits of realizing ODE models of biochemical systems as kinetics systems. This approach involves constructing a chemical reaction network (CRN) from the model´s biochemical map or “cartoon” and assigning a kinetics or rate function to each reaction which together result in the same ODE system. This “decoupling” of a dynamical system enables the distinction between network-dependent and network independent (or kinetic) properties. Concentration robustness, a kinetic property introduced by G. Shinar and M. Feinberg in 2010, has led to novel insights about the robustness of biological systems. We present some recent results in our comparison of insulin signaling in healthy and T2D (type 2 diabetes) cells. Concordance on the other hand, is a network property which impacts the stability of equilibria of a wide class of dynamical systems. We again use a widely used model of insulin signaling in healthy cells to illustrate this novel system property. It is interesting to note that cocordance was abstracted from the behavior of a CFSTR (Continuous Flow Stirred Tank Reactor), a popular model in chemical engineering.