Characterizing the capabilities, key dependencies, and response to perturbations of genome-scale metabolic networks is a basic problem with important applications. A key question concerns the identification of the potentially most harmful reaction knockouts. The integration of combinatorial methods with sampling techniques to explore the space of viable flux states may provide crucial insights on this issue. We assess the replaceability of every metabolic conversion in the human red blood cell by enumerating the alternative paths from substrate to product, obtaining a complete map of he potential damage of single enzymopathies. Sampling the space of optimal steady state fluxes in the healthy and in the mutated cell reveals both correlations and complementarity between topologic and dynamical aspects. Copyright © 2010 A. De Martino et al.

Optimal fluxes, reaction replaceability, and response to enzymopathies in the human red blood cell / De Martino, A.; Granata, D.; Marinari, E.; Martelli, C.; Van Kerrebroeck, V.. - In: JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY. - ISSN 1110-7243. - 2010:(2010), pp. 1-10. [10.1155/2010/415148]

Optimal fluxes, reaction replaceability, and response to enzymopathies in the human red blood cell

De Martino A.;
2010

Abstract

Characterizing the capabilities, key dependencies, and response to perturbations of genome-scale metabolic networks is a basic problem with important applications. A key question concerns the identification of the potentially most harmful reaction knockouts. The integration of combinatorial methods with sampling techniques to explore the space of viable flux states may provide crucial insights on this issue. We assess the replaceability of every metabolic conversion in the human red blood cell by enumerating the alternative paths from substrate to product, obtaining a complete map of he potential damage of single enzymopathies. Sampling the space of optimal steady state fluxes in the healthy and in the mutated cell reveals both correlations and complementarity between topologic and dynamical aspects. Copyright © 2010 A. De Martino et al.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2976771