A hardware-efficient gene-protein network model based on nonlinear dynamics of delay ergodic cellular automaton

Abstract

This paper presents a hardware-efficient delay ergodic cellular automaton gene-protein network model. It is shown that the presented model can reproduce the occurrence mechanism of one of the most typical nonlinear phenomena (supercritical Hopf bifurcation) of a mathematical gene-protein network model. Then the model is implemented by a field programmable gate array and experiments validate its operations. Furthermore, it is shown that the presented model is much more hardware-efficient compared to DSP-based and CPU-based gene-protein network models. It is then discussed that the presented model will be useful as a building block of a large-scale genome simulator for personalized medicine and drug discovery.