Concordant chemical reaction networks and the Species-Reaction Graph |
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Authors: | Guy Shinar Martin Feinberg |
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Affiliation: | 1. 12 Metzada St., Ramat Gan 52235, Israel;2. The William G. Lowrie Department of Chemical & Biomolecular Engineering, Ohio State University, 140 W. 19th Avenue, Columbus, OH 43210, USA;3. Department of Mathematics, Ohio State University, 140 W. 19th Avenue, Columbus, OH 43210, USA;1. Karlsruher Institut für Technologie (KIT), Engelbert-Arndold-Strasse 4, Geb. 10.91, 76131 Karlsruhe, Germany;2. Department of Mathematics, Ben Gurion University of the Negev, P.O.B. 653, 84105 Beer-Sheva, Israel;1. Department of Chemistry, Graduate School of Science, Tohoku University, Aramaki, Aoba-ku, Sendai 980-8578, Japan;2. National Institute for Informatics (NII), Chiyoda-ku, Tokyo 101-8430, Japan;3. Institute for Quantum Chemical Exploration, Minato-ku, Tokyo 108-0022, Japan;4. Department of Chemistry, University of Zurich, 8057 Zurich, Switzerland |
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Abstract: | In a recent paper it was shown that, for chemical reaction networks possessing a subtle structural property called concordance, dynamical behavior of a very circumscribed (and largely stable) kind is enforced, so long as the kinetics lies within the very broad and natural weakly monotonic class. In particular, multiple equilibria are precluded, as are degenerate positive equilibria. Moreover, under certain circumstances, also related to concordance, all real eigenvalues associated with a positive equilibrium are negative. Although concordance of a reaction network can be decided by readily available computational means, we show here that, when a nondegenerate network’s Species-Reaction Graph satisfies certain mild conditions, concordance and its dynamical consequences are ensured. These conditions are weaker than earlier ones invoked to establish kinetic system injectivity, which, in turn, is just one ramification of network concordance. Because the Species-Reaction Graph resembles pathway depictions often drawn by biochemists, results here expand the possibility of inferring significant dynamical information directly from standard biochemical reaction diagrams. |
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