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-theart 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.

Network approaches for analysis and modeling of the human metabolism

Menichetti G.
Secondo
;
Giampieri E.;Castellani G.;Martinelli G.;Remondini D.
Ultimo
2015

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-theart 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.
Special Issue on 19th International Conference on Mechanics in Medicine and Biology (ICMMB-19)
1540026
1540032
Fontanarosa G.; Menichetti G.; Giampieri E.; Castellani G.; Martinelli G.; Remondini D.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/875597
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