MIAMI--a tool for non-targeted detection of metabolic flux changes for mode of action identification.
basic_science · Level V
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- Record sourced from PubMed, PMID 32324861.
- Also identified by DOI 10.1093/bioinformatics/btaa251 and PMC identifier 7320603.
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Abstract
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. We implemented the data processing in C++17 with Qt5 back-end using MetaboliteDetector and NTFD libraries. The data visualization is implemented as web application. Executable binaries and visualization are freely available for Linux operating systems, the source code is licensed under General Public License version 3.
Medical subject headings
- Metabolic Networks and Pathways
- Software