Sign-sensitivities for reaction networks: an algebraic approach.

Math Biosci Eng

Department of Mathematical Sciences, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen, Denmark.

Published: September 2019

AI Article Synopsis

  • The paper develops an algebraic method to analyze reaction networks through ordinary differential equations, focusing on how species concentrations change at steady state due to small parameter changes.
  • It provides a formula to calculate these changes, emphasizes the importance of initial condition perturbations over total amounts, and offers a sign-based criterion to assess stability without detailed sensitivity computations.
  • Additionally, the study explores systems with multiple steady states, specifically concentrating on the behavior of stable steady states.

Article Abstract

This paper presents an algebraic framework to study for reaction networks modeled by means of systems of ordinary differential equations. Specifically, we study the sign of the derivative of the concentrations of the species in the network at steady state with respect to a small perturbation on the parameter vector. We provide a closed formula for the derivatives that accommodates common perturbations, and illustrate its form with numerous examples. We argue that, mathematically, the study of the response to the system with respect to changes in total amounts is not well posed, and that one should rather consider perturbations with respect to the initial conditions. We find a sign-based criterion to determine, without computing the sensitivities, whether the sign depends on the steady state and parameters of the system. This is based on earlier results of so-called networks. Finally, we address systems with multiple steady states and the restriction to stable steady states.

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Source
http://dx.doi.org/10.3934/mbe.2019414DOI Listing

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