Abstract
In this work we propose a quantitative definition of enzyme importance in a metabolic network. Using a graph analysis, we investigate the metabolism of the Escherichia coli to determine a relation between the damage generated on the metabolic network by the deletion of an enzyme and the experimentally determined viability of the organism in the absence of the enzyme. We predict that a large fraction (91%) of enzymes cause a small damage and have a low probability of lethality according to experimental results, while a small fraction of them (9%) cause a high damage and have a high probability of lethality. We obtain a quantitative correlation between damage and its probability of lethality. Our results may be a universal property of the metabolic network of other organisms.
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Lemke, N., Herédia, F., Barcellos, C.K., Mombach, J.C.M. (2003). A Method to Identify Essential Enzymes in the Metabolism: Application to Escherichia Coli . In: Priami, C. (eds) Computational Methods in Systems Biology. CMSB 2003. Lecture Notes in Computer Science, vol 2602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36481-1_12
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DOI: https://doi.org/10.1007/3-540-36481-1_12
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