The procedure of evolution modelling of biochemical networks structure

The exploration of biochemical networks, such as gene regulation, metabolic, protein interaction and signal transduction networks helps to understand better cellular processes, properties and functions of biological system. An important task of biological systems investigation is exploration of biochemical networks evolution and dynamic changes of their structure under pressure of the mutations and natural selection that are mentioned as the main evolution forces. Proposed network growth models have been used to establish topological properties of biochemical networks, such as scale-free degree distribution, ultrasmall-world property, centrality and modularity. But they consider network evolution implicitly, generally and ignore important properties of biological systems. To demonstrate and investigate the evolution course of biochemical networks structure caused by genetic mutations, chosen by natural selection and depending of the biological system properties, evolution models are needed what takes into account these features. In this paper evolution modelling procedure is introduced as well as algorithm of biochemical networks structure that occurs as a result of genetic alterations by pressure of natural selection and takes into account different importance levels of biochemical processes.