A review of the generalities of systems biology and mathematical modeling in the context of biological systems is presented and a comparison of signal transduction pathways and metabolic networks is presented.
Biological systems have evolved optimally, which makes them highly complex. Advances in experimental techniques provide an opportunity for the development of mathematical models of biochemical networks, including signal transduction pathways and metabolic networks. Systems biology is an area of active research in which various modeling techniques have been proposed to analyze and identify a wide range of biological networks and that is achieved with the use of algorithms to aid in the task of integrating expert knowledge and get a synthetic view of the existing biological knowledge in a network and achieve the prediction of the dynamic behavior of a system. A review of the generalities of systems biology and mathematical modeling in the context of biological systems is presented.