Power-law Modelling of Metabolic Pathways
Author Information
Author(s): Kitayama Tomoya, Kinoshita Ayako, Sugimoto Masahiro, Nakayama Yoichi, Tomita Masaru
Primary Institution: Institute of Advanced Bioscience, Keio University
Hypothesis
Can a novel method using power-law modelling reduce the complexity of estimating parameters in metabolic pathways?
Conclusion
The proposed method reduces calculation complexity and facilitates the construction of large-scale S-system models of metabolic pathways.
Supporting Evidence
- The method reduces the number of unknown parameters needing to be estimated.
- The time-courses simulated by conventional kinetic models and those described by our method behaved similarly under a wide range of perturbations.
- The S-system model generated by this method describes similar dynamic behaviour to that indicated by conventional kinetic models.
Takeaway
This study shows a new way to model how our body's metabolism works, making it easier to understand without needing to do a lot of complicated calculations.
Methodology
The study used a novel method involving power-law modelling from the Jacobian of the targeted system and steady-state flux profiles.
Limitations
The method may still require parameter estimation in some cases, particularly when parameters are underspecified.
Digital Object Identifier (DOI)
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