Abstract
Kinetic models of metabolism are predictors of temporal metabolic behavior of living organisms that integrate multi-omics data sets with reaction network models to interpret reaction rates, kinetic parameters, and enzyme levels. Modern kinetic modeling and parametrization frameworks are powerful tools for describing prokaryotic and eukaryotic metabolic behavior and promises successful application in human health, agriculture, and biotechnology. While the scarcity of in vivo data, computational expense, and scalability issues provide significant challenges, these can be circumvented by leveraging novel in silico data generation, training modules, and concerted effort from various fields of expertise.
Original language | English (US) |
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Pages (from-to) | 72-78 |
Number of pages | 7 |
Journal | Current Opinion in Systems Biology |
Volume | 26 |
DOIs | |
State | Published - Jun 2021 |
Keywords
- Kinetic modeling
- Metabolic model
- Systems biology
ASJC Scopus subject areas
- Modeling and Simulation
- General Biochemistry, Genetics and Molecular Biology
- Drug Discovery
- Computer Science Applications
- Applied Mathematics