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.
Fontanarosa G., Menichetti G., Giampieri E., Castellani G., Martinelli G., Remondini D. (2015). Network approaches for analysis and modeling of the human metabolism. 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE : World Scientific [10.1142/S0219519415400266].
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
