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arXiv · 1710.10637

Network translation and steady state properties of chemical reaction systems

Elisa Tonello·Matthew D. Johnston
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Abstract

Network translation has recently been used to establish steady state properties of mass action systems by corresponding the given system to a generalized one which is either dynamically or steady state equivalent. In this work we further use network translation to identify network structures which give rise to the well-studied property of absolute concentration robustness in the corresponding mass action systems. In addition to establishing the capacity for absolute concentration robustness, we show that network translation can often provide a method for deriving the steady state value of the robust species. We furthermore present a MILP algorithm for the identification of translated chemical reaction networks that improves on previous approaches, allowing for easier application of the theory.

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Elisa Tonello, Matthew D. Johnston. 2017-10-29. Network translation and steady state properties of chemical reaction systems. https://arxiv.org/abs/1710.10637

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