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EnglishWe 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.
| Titolo: | Network approaches for analysis and modeling of the human metabolism | |
| Autore/i: | Fontanarosa G.; Menichetti G.; Giampieri E.; Castellani G.; Martinelli G.; Remondini D. | |
| Autore/i Unibo: | ||
| Anno: | 2015 | |
| Rivista: | ||
| Titolo del libro: | Special Issue on 19th International Conference on Mechanics in Medicine and Biology (ICMMB-19) | |
| Pagina iniziale: | 1540026 | |
| Pagina finale: | 1540032 | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1142/S0219519415400266 | |
| 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. | |
| Data stato definitivo: | 1-mar-2022 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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