2009
DOI: 10.1007/s00285-009-0309-0
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Graph-theoretic characterizations of monotonicity of chemical networks in reaction coordinates

Abstract: This paper derives new results for certain classes of chemical reaction networks, linking structural to dynamical properties. In particular, it investigates their monotonicity and convergence under the assumption that the rates of the reactions are monotone functions of the concentrations of their reactants. This is satisfied for, yet not restricted to, the most common choices of the reaction kinetics such as mass action, Michaelis-Menten and Hill kinetics. The key idea is to find an alternative representation… Show more

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Cited by 75 publications
(144 citation statements)
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“…The approach to generic and global convergence to equilibria in [3] is based upon the monotone systems theory of M. W. Hirsch [8,17,9]. The reader familiar with that theory will likely notice the connection, although most of the details have been deliberately hidden in our presentation by framing all concepts and results pertaining to monotonicity directly in terms of the graphical conditions given in [3].…”
Section: Introductionmentioning
confidence: 99%
See 4 more Smart Citations
“…The approach to generic and global convergence to equilibria in [3] is based upon the monotone systems theory of M. W. Hirsch [8,17,9]. The reader familiar with that theory will likely notice the connection, although most of the details have been deliberately hidden in our presentation by framing all concepts and results pertaining to monotonicity directly in terms of the graphical conditions given in [3].…”
Section: Introductionmentioning
confidence: 99%
“…This paper is organized as follows. In Section 2 we introduce our basic notation and working definition of reaction network, then review the graphical conditions for generic and global convergence to equilibria of [3] and state Theorem 1. In Section 3 we describe a systematic procedure to obtain a reduced reaction network by successively removing intermediates from a given network.…”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations