Abstract
In this contribution, we face the problem of predicting intracellular fluxes using a multi-criteria optimization approach, i.e. the simultaneous optimization of two or more cellular functions. Based on Flux Balance Analysis, we calculate the Pareto set of optimal flux distributions in E. coli for three objectives: maximization of biomass and ATP, and minimization of intracellular fluxes. These solutions are able to predict flux distributions for different environmental conditions without requiring specific constraints, and improve previous published results. We thus illustrate the usefulness of multi-objective optimization for a better understanding of complex biological networks.
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Sendín, JO.H., Alonso, A.A., Banga, J.R. (2009). Multi-Objective Optimization of Biological Networks for Prediction of Intracellular Fluxes. In: Corchado, J.M., De Paz, J.F., Rocha, M.P., Fernández Riverola, F. (eds) 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 2008). Advances in Soft Computing, vol 49. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85861-4_24
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DOI: https://doi.org/10.1007/978-3-540-85861-4_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85860-7
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