NETWORK APPROACHES FOR ANALYSIS AND MODELING OF THE HUMAN METABOLISM
Gabriele Fontanarosa, Giulia Menichetti, Enrico Giampieri, Gastone Castellani, Giovanni Martinelli, Daniel Remondini
Abstract
Gabriele Fontanarosa, Giulia Menichetti, Enrico Giampieri, Gastone Castellani, Giovanni Martinelli, Daniel Remondini
Abstract
We describe a novel approach for metabolic network reconstruction in order to switch from the full reaction-metabolite scheme to a more synthetic description at a pathway level. The network thus obtained retains much information of the original model, allowing easier graphical visualizations and multiscale modeling. We apply our approach to the state-of-the-art database of human metabolic network (Recon2): our approach allows different ranking of the network elements based on its topology and on Markov dynamics induced by network structure.
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We describe a novel approach for metabolic network reconstruction in order to switch from the full reaction-metabolite scheme to a more synthetic description at a pathway level. The network thus obtained retains much information of the original model, allowing easier graphical visualizations and multiscale modeling. We apply our approach to the state-of-the-art database of human metabolic network (Recon2): our approach allows different ranking of the network elements based on its topology and on Markov dynamics induced by network structure.
Key concepts: Metabolic network, Computer science, Network topology, Markov chain, Ranking (information retrieval), Network model, Data mining, Network analysis