Parameter Region for Multistationarity in \({\boldsymbol{n-}}\)Site Phosphorylation Networks

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Standard

Parameter Region for Multistationarity in \({\boldsymbol{n-}}\)Site Phosphorylation Networks. / Feliu, Elisenda; Kaihnsa, Nidhi; Wolff, Timo de; Yürük, Oğuzhan.

I: SIAM Journal on Applied Dynamical Systems, Bind 22, Nr. 3, 30.09.2023, s. 2024-2053.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Feliu, E, Kaihnsa, N, Wolff, TD & Yürük, O 2023, 'Parameter Region for Multistationarity in \({\boldsymbol{n-}}\)Site Phosphorylation Networks', SIAM Journal on Applied Dynamical Systems, bind 22, nr. 3, s. 2024-2053. https://doi.org/10.1137/22M1504548

APA

Feliu, E., Kaihnsa, N., Wolff, T. D., & Yürük, O. (2023). Parameter Region for Multistationarity in \({\boldsymbol{n-}}\)Site Phosphorylation Networks. SIAM Journal on Applied Dynamical Systems, 22(3), 2024-2053. https://doi.org/10.1137/22M1504548

Vancouver

Feliu E, Kaihnsa N, Wolff TD, Yürük O. Parameter Region for Multistationarity in \({\boldsymbol{n-}}\)Site Phosphorylation Networks. SIAM Journal on Applied Dynamical Systems. 2023 sep. 30;22(3):2024-2053. https://doi.org/10.1137/22M1504548

Author

Feliu, Elisenda ; Kaihnsa, Nidhi ; Wolff, Timo de ; Yürük, Oğuzhan. / Parameter Region for Multistationarity in \({\boldsymbol{n-}}\)Site Phosphorylation Networks. I: SIAM Journal on Applied Dynamical Systems. 2023 ; Bind 22, Nr. 3. s. 2024-2053.

Bibtex

@article{5aa85f7716cf4e2cbe7c181141400772,
title = "Parameter Region for Multistationarity in \({\boldsymbol{n-}}\)Site Phosphorylation Networks",
abstract = "Multisite phosphorylation is a signaling mechanism well known to give rise to multiple steady states, a property termed multistationarity. When phosphorylation occurs in a sequential and distributive manner, we obtain a family of networks indexed by the number of phosphorylation sites . This work addresses the problem of understanding the parameter region where this family of networks displays multistationarity, by focusing on the projection of this region oπnto the set of kinetic parameters. The problem is phrased in the context of real algebraic geometry and reduced to studying whether a polynomial, defined as the determinant of a parametric matrix of size three, attains negative values over the positive orπthant. The coefficients of the polynomial are functions of the kinetic parameters. For any , we provide sufficient conditions for the polynomial to be positive and, hence, preclude multistationarity, and also sufficient conditions for it to attain negative values and, hence, enable multistationarity. These conditions are derived by exploiting the structure of the polynomial and its Newton polytope and employing circuit polynomials. A relevant consequence of our results is that the sets of kinetic parameters that enable or preclude multistationarity are both connected for allπ.",
author = "Elisenda Feliu and Nidhi Kaihnsa and Wolff, {Timo de} and Oğuzhan Y{\"u}r{\"u}k",
year = "2023",
month = sep,
day = "30",
doi = "10.1137/22M1504548",
language = "English",
volume = "22",
pages = "2024--2053",
journal = "SIAM Journal on Applied Dynamical Systems",
issn = "1536-0040",
publisher = "Society for Industrial and Applied Mathematics",
number = "3",

}

RIS

TY - JOUR

T1 - Parameter Region for Multistationarity in \({\boldsymbol{n-}}\)Site Phosphorylation Networks

AU - Feliu, Elisenda

AU - Kaihnsa, Nidhi

AU - Wolff, Timo de

AU - Yürük, Oğuzhan

PY - 2023/9/30

Y1 - 2023/9/30

N2 - Multisite phosphorylation is a signaling mechanism well known to give rise to multiple steady states, a property termed multistationarity. When phosphorylation occurs in a sequential and distributive manner, we obtain a family of networks indexed by the number of phosphorylation sites . This work addresses the problem of understanding the parameter region where this family of networks displays multistationarity, by focusing on the projection of this region oπnto the set of kinetic parameters. The problem is phrased in the context of real algebraic geometry and reduced to studying whether a polynomial, defined as the determinant of a parametric matrix of size three, attains negative values over the positive orπthant. The coefficients of the polynomial are functions of the kinetic parameters. For any , we provide sufficient conditions for the polynomial to be positive and, hence, preclude multistationarity, and also sufficient conditions for it to attain negative values and, hence, enable multistationarity. These conditions are derived by exploiting the structure of the polynomial and its Newton polytope and employing circuit polynomials. A relevant consequence of our results is that the sets of kinetic parameters that enable or preclude multistationarity are both connected for allπ.

AB - Multisite phosphorylation is a signaling mechanism well known to give rise to multiple steady states, a property termed multistationarity. When phosphorylation occurs in a sequential and distributive manner, we obtain a family of networks indexed by the number of phosphorylation sites . This work addresses the problem of understanding the parameter region where this family of networks displays multistationarity, by focusing on the projection of this region oπnto the set of kinetic parameters. The problem is phrased in the context of real algebraic geometry and reduced to studying whether a polynomial, defined as the determinant of a parametric matrix of size three, attains negative values over the positive orπthant. The coefficients of the polynomial are functions of the kinetic parameters. For any , we provide sufficient conditions for the polynomial to be positive and, hence, preclude multistationarity, and also sufficient conditions for it to attain negative values and, hence, enable multistationarity. These conditions are derived by exploiting the structure of the polynomial and its Newton polytope and employing circuit polynomials. A relevant consequence of our results is that the sets of kinetic parameters that enable or preclude multistationarity are both connected for allπ.

UR - https://doi.org/10.1137/22M1504548

U2 - 10.1137/22M1504548

DO - 10.1137/22M1504548

M3 - Journal article

VL - 22

SP - 2024

EP - 2053

JO - SIAM Journal on Applied Dynamical Systems

JF - SIAM Journal on Applied Dynamical Systems

SN - 1536-0040

IS - 3

ER -

ID: 361691015