Improving Flux Balance Analysis with Metabolite Concentrations
Author Information
Author(s): Andreas Hoppe, Sabrina Hoffmann, Hermann-Georg Holzhütter
Primary Institution: Charité – University Medicine Berlin
Hypothesis
Can incorporating metabolite concentrations into flux balance analysis improve the reliability of predicted flux distributions in metabolic networks?
Conclusion
The proposed method enhances the reliability of flux distributions by ensuring they are thermodynamically realizable, even under extreme conditions.
Supporting Evidence
- The method was applied to metabolic networks of erythrocytes and E. coli, demonstrating its effectiveness.
- Results showed that increasing network complexity leads to greater sensitivity in predicted flux distributions.
- The algorithm allows for the assessment of critical metabolite concentrations that can prevent metabolic steady states.
Takeaway
This study shows how to make predictions about how substances move in cells more accurate by using real measurements of those substances.
Methodology
The study developed a mixed integer linear optimization problem that incorporates thermodynamic constraints and metabolite concentration data into flux balance analysis.
Limitations
The method relies on the availability of reliable data for metabolite concentrations and standard Gibbs free energies, which may not always be available.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website