MIAMI––a tool for non-targeted detection of metabolic flux changes for mode of action identification | Zendy

Christian-Alexander Dudek | Zendy; Carsten Reuse | Zendy; Regine Fuchs | Zendy; Janneke Hendriks | Zendy; Veronique Starck | Zendy; Karsten Hiller | Zendy

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MIAMI––a tool for non-targeted detection of metabolic flux changes for mode of action identification

Author(s) -

Christian-Alexander Dudek,

Carsten Reuse,

Regine Fuchs,

Janneke Hendriks,

Veronique Starck,

Karsten Hiller

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa251

Subject(s) - executable , visualization , computer science , identification (biology) , miami , metabolic flux analysis , data mining , isotopomers , license , chemistry , operating system , biology , environmental science , biochemistry , botany , organic chemistry , metabolism , molecule , soil science

Mass isotopolome analysis for mode of action identification (MIAMI) combines the strengths of targeted and non-targeted approaches to detect metabolic flux changes in gas chromatography/mass spectrometry datasets. Based on stable isotope labeling experiments, MIAMI determines a mass isotopomer distribution-based (MID) similarity network and incorporates the data into metabolic reference networks. By identifying MID variations of all labeled compounds between different conditions, targets of metabolic changes can be detected.

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