Symmetry structures in dynamic models of biochemical systems.

Journal of the Royal Society, Interface
Fredrik OhlssonMarija Cvijovic

Abstract

Understanding the complex interactions of biochemical processes underlying human disease represents the holy grail of systems biology. When processes are modelled in ordinary differential equation (ODE) fashion, the most common tool for their analysis is linear stability analysis where the long-term behaviour of the model is determined by linearizing the system around its steady states. However, this asymptotic behaviour is often insufficient for completely determining the structure of the underlying system. A complementary technique for analysing a system of ODEs is to consider the set of symmetries of its solutions. Symmetries provide a powerful concept for the development of mechanistic models by describing structures corresponding to the underlying dynamics of biological systems. To demonstrate their capability, we consider symmetries of the nonlinear Hill model describing enzymatic reaction kinetics and derive a class of symmetry transformations for each order of the model. We consider a minimal example consisting of the application of symmetry-based methods to a model selection problem, where we are able to demonstrate superior performance compared to ordinary residual-based model selection. Moreover, we demonstrate that ...Continue Reading

References

May 17, 2000·Bulletin of Mathematical Biology·S Schnell, P K Maini
Feb 20, 2008·PLoS Computational Biology·Joshua F ApgarBruce Tidor
Jan 21, 2010·Journal of Theoretical Biology·Natalia L Komarova, Dominik Wodarz
Sep 17, 2011·Water Research·Andres Donoso-BravoAlain Vande Wouwer
Jun 13, 2014·PLoS Computational Biology·Daniel SilkMichael P H Stumpf

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