Selecting for positive responses to knock outs in boolean networks

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Abstract

Random Boolean networks are a widely acknowledged model for cell dynamics. Previous studies have shown the possibility of achieving Boolean Networks (BN) with given characteristics by means of evolutionary techniques. In this work we show that it is possible to evolve BNs exhibiting more positive than negative reactions to knock-out stresses. It is also interesting to observe that in the observed runs (i) the evolutionary processes can guide the BNs toward different dynamic regimes, depending on their internal structure and that (ii) the BNs forced to evolve by maintaining a critical dynamical regime achieve better results than those that do not have this characteristic; this observation supports the idea that criticality may be beneficial to an evolving population of dynamical systems.

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Villani, M., Magrì, S., Roli, A., & Serra, R. (2020). Selecting for positive responses to knock outs in boolean networks. In Communications in Computer and Information Science (Vol. 1200 CCIS, pp. 7–16). Springer. https://doi.org/10.1007/978-3-030-45016-8_2

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