A new model for Gene Regulatory Networks (GRN) is proposed. The model is potentially more biologically sound than other approaches, and is based on the idea of an artificial genome from which several products like genes, mRNA, miRNA, non-coding RNA, and proteins are extracted. These products are connected giving rise to a heterogeneous directed graph. The topology of the obtained networks is studied using degree distributions. We make some considerations about the biological meaning of the outcomes of these simulations.
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