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.
Entropy-Based Network Representation of the Individual Metabolic Phenotype / Saccenti, Edoardo; Menichetti, Giulia; Ghini, Veronica; Remondini, Daniel; Tenori, Leonardo; Luchinat, Claudio. - In: JOURNAL OF PROTEOME RESEARCH. - ISSN 1535-3893. - STAMPA. - 15:9(2016), pp. 3298-3307. [10.1021/acs.jproteome.6b00454]
Entropy-Based Network Representation of the Individual Metabolic Phenotype
MENICHETTI, GIULIA;REMONDINI, DANIEL;
2016
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
