2017/10/29 by Elisa Tonello, Tonello, Elisa, Matthew D. Johnston +1
Biochemistry, Genetics and Molecular Biology · Chemistry · Computer Science · #Computational Drug Discovery Methods #Dynamical Systems (math.DS) #Electrochemical Analysis and Applications #FOS: Biological sciences #FOS: Mathematics #Gene Regulatory Network Analysis #Molecular Networks (q-bio.MN)
paper · pdf · doi:10.48550/arxiv.1710.10637
openalex publication_date 2017/10/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Network translation has recently been used to establish steady state\nproperties of mass action systems by corresponding the given system to a\ngeneralized one which is either dynamically or steady state equivalent. In this\nwork we further use network translation to identify network structures which\ngive rise to the well-studied property of absolute concentration robustness in\nthe corresponding mass action systems. In addition to establishing the capacity\nfor absolute concentration robustness, we show that network translation can\noften provide a method for deriving the steady state value of the robust\nspecies. We furthermore present a MILP algorithm for the identification of\ntranslated chemical reaction networks that improves on previous approaches,\nallowing for easier application of the theory.\n