This project investigates the possibility to computationally evolve and simulate artificial cell signaling networks (CSNs) with pre-specified properties by means of Evolutionary Computation methods. It is required that the interactions between the si mulated particles in the artificial chemistry are realistic with respect to the interactions found in real CSNs. In this project we will build an artificial intelligence predictor for unknown components of cell signaling networks in organisms.
Fields of science
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