EVOLUTION OF ALTERNATIVE CONTROL LOOPS OF BIOLOGICAL SYSTEMS

Biological systems are complex, difficult, open, nonlinear and self-regulated, self-organized living systems. Such systems are known to be considerably robust to environmental changes and genetic perturbations. It is possible due observed property called robustness. Robustness is a fundamental feature of complex systems that allows them to maintain its functions despite external and internal perturbations. The main mechanism that ensures the robustness of a system is a system control that consists of negative and positive feedback. Presence of feedback is the important party of control in biological systems. The deviations of object from the target state by the means of feedback loops form the control action which brings the system back to the target state. A complete understanding of network robustness and their evolution requires that the biochemical network topological singularities, functional and dynamic changes that are caused by perturbations, are explored. For achievement this issue computational modeling is required. In this manuscript we explore scientific literature with a goal to characterize the robustness and the prime system control mechanism (feedback mechanism) that ensure it, to indicate and analyze existing network growth models of their evolution.