Entropy-Based Network Representation of the Individual Metabolic Phenotype

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• 作者：Edoardo Saccenti ; Giulia Menichetti ; Veronica Ghini ; Daniel Remondini ; Leonardo Tenori ; Claudio Luchinat
• 刊名：Journal of Proteome Research
• 出版年：2016
• 出版时间：September 2, 2016
• 年：2016
• 卷：15
• 期：9
• 页码：3298-3307
• 全文大小：633K
• 年卷期：0
• ISSN：1535-3907

文摘

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.