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Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
Published on: July 31, 2021
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Mathematical Modeling Approaches in Plant Metabolomics
Lisa Fürtauer1, Jakob Weiszmann1,2, Wolfram Weckwerth1,2
1Department of Ecogenomics and Systems Biology, Faculty of Life Sciences, University of Vienna, Vienna, Austria.
Methods in Molecular Biology (Clifton, N.J.)
|May 16, 2018
Summary
Mathematical modeling aids in interpreting complex plant metabolomics data. These approaches integrate metabolic networks with physiological parameters for better understanding of plant biochemical regulation.
Area of Science:
- Plant Biology
- Biochemistry
- Computational Biology
Background:
- Plant metabolomics experiments yield large, multidimensional datasets.
- Interpreting this data requires understanding biochemical regulation and environmental influences.
Purpose of the Study:
- To introduce mathematical modeling techniques for plant metabolism.
- To discuss the application of these models in integrating metabolomics data.
Main Methods:
- Review of mathematical modeling approaches relevant to plant metabolism.
- Discussion on functional integration of metabolomics data within metabolic networks.
Main Results:
- Mathematical modeling offers a framework for interpreting complex plant metabolomics data.
- These models can integrate diverse datasets, including physiological parameters.
Conclusions:
- Mathematical modeling is a valuable tool for understanding plant metabolic regulation.
- It enables the functional integration of metabolomics data with other biological information.
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