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MetaboAnnotator: an efficient toolbox to annotate metabolites in genome-scale metabolic reconstructions
Ines Thiele1,2,3,4, German Preciat5, Ronan M T Fleming1,5
1School of Medicine, University of Galway, Galway H91TK33, Ireland.
Bioinformatics (Oxford, England)
|September 1, 2022
Summary
MetaboAnnotator enhances metabolite annotation for metabolic reconstructions, improving data integration. This tool aids in comparing models and mapping metabolomic data for broader biological insights.
Area of Science:
- Systems Biology
- Metabolic Engineering
Background:
- Genome-scale metabolic reconstructions are crucial for understanding cellular metabolism.
- Incomplete metabolite annotations hinder the comparison and integration of these models.
Purpose of the Study:
- To develop a tool that comprehensively annotates metabolites in metabolic reconstructions.
- To improve the cross-mapping of metabolites between different models and facilitate data integration.
Main Methods:
- Development of MetaboAnnotator, an extension for the COBRA toolbox.
- Utilized various databases and chemoinformatic approaches for metabolite annotation.
- Calculated metabolite formula and charge at pH 7.2.
Main Results:
- MetaboAnnotator provides comprehensive metabolite annotations with database-independent and dependent identifiers.
- Generated molecular structure files and calculated chemical properties for metabolites.
- Enabled seamless cross-mapping between metabolic reconstructions and metabolomic data.
Conclusions:
- MetaboAnnotator significantly enhances metabolite annotation coverage for metabolic models.
- The tool facilitates more robust comparative analyses and data integration in systems biology.
- Improved annotations are essential for advancing metabolic engineering and understanding cellular functions.
