Entropy-Based Network Representation of the Individual Metabolic Phenotype

Edoardo Saccenti*, Giulia Menichetti, Veronica Ghini, Daniel Remondini, Leonardo Tenori, Claudio Luchinat

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

20 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)3298-3307
JournalJournal of Proteome Research
Issue number9
Publication statusPublished - 2016


  • metabolite modules
  • metabolite-metabolite association networks
  • metabolomics
  • network multiplex


Dive into the research topics of 'Entropy-Based Network Representation of the Individual Metabolic Phenotype'. Together they form a unique fingerprint.

Cite this