Biological systems have developed a wide range of mechanisms to respond to changes in their environment. Biological switches are mechanisms which drive a change in the functional state of a system in an all-or-none fashion. Biological switches produce a reliable and robust transition between states, sometimes generating an irreversible transition.<\/p>\n
Current eukaryotic switches usually contain several components with multiple positive feedback loops. This level of complexity could have been reached by an evolutionary process from a simple system. The simplest possible system could have been a single molecule that regulates itself and it can go through different functional states. Most of the quickly responding switches work on the post- translational level. Phosphorylation has been proposed as an ancient post-translational mechanism, which could have defined phosphorylated and dephosphorylated states.<\/p>\n
It was previously shown that simple systems based on single autocatalytic element could behave like a switch. Therefore, maybe there exist an evolutionary way of obtaining complex networks from simpler ones. We investigate from a computational perspective, the increasing complexity from simple systems to complex ones and how their key properties could have been kept through evolution.<\/p>\n","protected":false},"excerpt":{"rendered":"
Biological systems have developed a wide range of mechanisms to respond to changes in their environment. Biological switches are mechanisms which drive a change in the functional state of a system in an all-or-none fashion. Biological switches produce a reliable and robust transition between states, sometimes generating an irreversible transition. 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