Combining graph and flux-based structures to decipher phenotypic essential metabolites within metabolic networks

Abstract : The emergence of functions in biological systems is a long-standing issue that can now be addressed at the cell level with the emergence of high throughput technologies for genome sequencing and phenotyping. The reconstruction of complete metabolic networks for various organisms is a key outcome of the analysis of these data, giving access to a global view of cell functioning. The analysis of metabolic networks may be carried out by simply considering the architecture of the reaction network or by taking into account the stoichiometry of reactions. In both approaches, this analysis is generally centered on the outcome of the network and considers all metabolic compounds to be equivalent in this respect. As in the case of genes and reactions, about which the concept of essentiality has been developed, it seems, however, that some metabolites play crucial roles in system responses, due to the cell structure or the internal wiring of the metabolic network.
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https://hal.archives-ouvertes.fr/hal-01635688
Contributeur : Damien Eveillard <>
Soumis le : mercredi 15 novembre 2017 - 15:27:41
Dernière modification le : mercredi 16 mai 2018 - 11:24:14

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Julie Laniau, Clémence Frioux, Jacques Nicolas, Caroline Baroukh, María Paz Cortés, et al.. Combining graph and flux-based structures to decipher phenotypic essential metabolites within metabolic networks. PeerJ, PeerJ, 2017, 5, pp.e3860. 〈10.7717/peerj.3860〉. 〈hal-01635688〉

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