Abstract
In this paper we deal with the evolved Boolean model of the subcellular network for a hypothetical subcellular task that performs some of the basic cellular functions. The Boolean network is trained with a genetic algorithm and the obtained results are analyzed. We show that the size of the evolved Boolean network relates strongly to the task, that the number of output combinations is decreased, which is in concordance with the biological (measured) networks, and that the number of non-canalyzing inputs is increased, which indicates its specialization to the task. We conclude that the structure of the evolved network is biologically relevant, since it incorporates properties of evolved biological systems.
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References
Kauffman, S.A.: The Origins of Order. Oxford Univ. Press, Oxford (1993)
Aldana, M., Cluzel, P.: A natural class of robust networks. Proceedings of the National Academy of Sciences USA 100(15), 8710–8714 (2003)
Shmulevich, I., Dougherty, E.R., Zhang, W.: From Boolean to Probabilistic Boolean Networks as Models of Genetic Regulatory Networks. Proc. of IEEE 90(11), 1778–1792 (2002)
Shmulevich, I., Dougherty, E.R., Kim, S., Zhang, W.: Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks. Bioinformatics 18(2), 261–274 (2002)
Helikar, T., Konvalina, J., Heidel, J., Rogers, J.A.: Emergent decision-making in biological signal transduction networks. Proceedings of the National Academy of Sciences USA 105(6), 1913–1918 (2008)
Kauffman, S., Petersen, C., Samuelsson, B., Troein, C.: Random Boolean network models and the yeast transcriptional network. Proceedings of the National Academy of Sciences USA 100(14), 14796–14799 (2003)
Jain, S., Krishna, S.: Graph theory and the evolution of autocatalytic networks. In: Bornholdt, S., Schuster, H.G. (eds.) Handbook of Graphs and Networks. Wiley, Chichester (2002)
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Šter, B., Avbelj, M., Jerala, R., Dobnikar, A. (2011). On the Origin and Features of an Evolved Boolean Model for Subcellular Signal Transduction Systems. In: Dobnikar, A., Lotrič, U., Šter, B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2011. Lecture Notes in Computer Science, vol 6594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20267-4_40
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DOI: https://doi.org/10.1007/978-3-642-20267-4_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20266-7
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