|Title||Entropy-Based Network Representation of the Individual Metabolic Phenotype|
|Author(s)||Saccenti, Edoardo; Menichetti, Giulia; Ghini, Veronica; Remondini, Daniel; Tenori, Leonardo; Luchinat, Claudio|
|Source||Journal of Proteome Research 15 (2016)9. - ISSN 1535-3893 - p. 3298 - 3307.|
Systems and Synthetic Biology
|Publication type||Refereed Article in a scientific journal|
|Keyword(s)||metabolite modules - metabolite-metabolite association networks - metabolomics - network multiplex|
We approach here the problem of defining and estimating the nature of the metabolite-metabolite association network underlying the human individual metabolic phenotype in healthy subjects. We retrieved significant associations using an entropy-based approach and a multiplex network formalism. We defined a significantly over-represented network formed by biologically interpretable metabolite modules. The entropy of the individual metabolic phenotype is also introduced and discussed.