One approach to the dynamical modelling of gene regulation is based on the construction and analysis of network models.
Various computational models have been of interest due to their use in the modelling of gene regulatory networks (GRNs).
Recent applications of PBN modelling of gene regulatory and signalling networks have been described in the previous section.
Modelling of gene regulatory networks (GRNs) has become a widely used computational approach in systems biology [ 1].
A new approach to design a dynamic model of genes with multiple autonomous regulatory modules by evolutionary computations is proposed.
In the present concept, SISO continuous and discrete system models of genes are realized using Foster network.
Mathematical models of gene-culture interaction suggest that this form of natural selection can be particularly rapid.
Although the operon model has proved a useful model of gene regulation in bacteria, different regulatory mechanisms are employed in eukaryotes.
We thus design a model of gene expression.
