Estimating the size of the solution space of metabolic networks |
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Authors: | Alfredo Braunstein Roberto Mulet Andrea Pagnani |
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Institution: | 1.Politecnico di Torino,Torino,Italy;2.ISI Foundation Viale Settimio Severo 65,Torino,Italy;3."Henri-Poincaré-Group" of Complex Systems and Department of Theoretical Physics, Physics Faculty,University of Havana,La Habana,Cuba |
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Abstract: | Background Cellular metabolism is one of the most investigated system of biological interactions. While the topological nature of individual
reactions and pathways in the network is quite well understood there is still a lack of comprehension regarding the global
functional behavior of the system. In the last few years flux-balance analysis (FBA) has been the most successful and widely
used technique for studying metabolism at system level. This method strongly relies on the hypothesis that the organism maximizes
an objective function. However only under very specific biological conditions (e.g. maximization of biomass for E. coli in reach nutrient medium) the cell seems to obey such optimization law. A more refined analysis not assuming extremization
remains an elusive task for large metabolic systems due to algorithmic limitations. |
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