Absolute concentration robustness and multistationarity in reaction networks: Conditions for coexistence
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Absolute concentration robustness and multistationarity in reaction networks : Conditions for coexistence. / Kaihnsa, Nidhi; Nguyen, Tung; Shiu, Anne.
In: European Journal of Applied Mathematics, 2024.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Absolute concentration robustness and multistationarity in reaction networks
T2 - Conditions for coexistence
AU - Kaihnsa, Nidhi
AU - Nguyen, Tung
AU - Shiu, Anne
N1 - Publisher Copyright: © The Author(s), 2024. Published by Cambridge University Press.
PY - 2024
Y1 - 2024
N2 - Many reaction networks arising in applications are multistationary, that is, they have the capacity for more than one steady state, while some networks exhibit absolute concentration robustness (ACR), which means that some species concentration is the same at all steady states. Both multistationarity and ACR are significant in biological settings, but only recently has attention focused on the possibility for these properties to coexist. Our main result states that such coexistence in at-most-bimolecular networks (which encompass most networks arising in biology) requires at least three species, five complexes and three reactions. We prove additional bounds on the number of reactions for general networks based on the number of linear conservation laws. Finally, we prove that, outside of a few exceptional cases, ACR is equivalent to non-multistationarity for bimolecular networks that are small (more precisely, one-dimensional or up to two species). Our proofs involve analyses of systems of sparse polynomials, and we also use classical results from chemical reaction network theory.
AB - Many reaction networks arising in applications are multistationary, that is, they have the capacity for more than one steady state, while some networks exhibit absolute concentration robustness (ACR), which means that some species concentration is the same at all steady states. Both multistationarity and ACR are significant in biological settings, but only recently has attention focused on the possibility for these properties to coexist. Our main result states that such coexistence in at-most-bimolecular networks (which encompass most networks arising in biology) requires at least three species, five complexes and three reactions. We prove additional bounds on the number of reactions for general networks based on the number of linear conservation laws. Finally, we prove that, outside of a few exceptional cases, ACR is equivalent to non-multistationarity for bimolecular networks that are small (more precisely, one-dimensional or up to two species). Our proofs involve analyses of systems of sparse polynomials, and we also use classical results from chemical reaction network theory.
KW - absolute concentration robustness
KW - Keywords:
KW - Multistationarity
KW - reaction networks
KW - sparse polynomials
U2 - 10.1017/S0956792523000335
DO - 10.1017/S0956792523000335
M3 - Journal article
AN - SCOPUS:85181457261
JO - European Journal of Applied Mathematics
JF - European Journal of Applied Mathematics
SN - 0956-7925
ER -
ID: 390195728