Connectivity of Parameter Regions of Multistationarity for Multisite Phosphorylation Networks

The parameter region of multistationarity of a reaction network contains all the parameters for which the associated dynamical system exhibits multiple steady states. Describing this region is challenging and remains an active area of research. In this paper, we concentrate on two biologically relevant families of reaction networks that model multisite phosphorylation and dephosphorylation of a substrate at n sites. For small values of n, it had previously been shown that the parameter region of multistationarity is connected. Here, we extend these results and provide a proof that applies to all values of n. Our techniques are based on the study of the critical polynomial associated with these reaction networks together with polyhedral geometric conditions of the signed support of this polynomial.

Authors

Institutions

Publication Details

Journal
Bulletin of Mathematical Biology
Published
2024-11-04
DOI
https://doi.org/10.1007/s11538-024-01368-z
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Connectivity of Parameter Regions of Multistationarity for Multisite Phosphorylation Networks

Máté L. Telek, Nidhi Kaihnsa
Bulletin of Mathematical Biology
Gene Regulatory Network Analysis
article

Connectivity of Parameter Regions of Multistationarity for Multisite Phosphorylation Networks

Máté L. Telek, Nidhi Kaihnsa
article en

Abstract

The parameter region of multistationarity of a reaction network contains all the parameters for which the associated dynamical system exhibits multiple steady states. Describing this region is challenging and remains an active area of research. In this paper, we concentrate on two biologically relevant families of reaction networks that model multisite phosphorylation and dephosphorylation of a substrate at n sites. For small values of n, it had previously been shown that the parameter region of multistationarity is connected. Here, we extend these results and provide a proof that applies to all values of n. Our techniques are based on the study of the critical polynomial associated with these reaction networks together with polyhedral geometric conditions of the signed support of this polynomial.

Bulletin of Mathematical BiologyVol. 86(12)
University of Copenhagen (DK)
European Commission, Københavns Universitet, Danmarks Frie Forskningsfond
Openalex Percentile: Top 82%
Gene Regulatory Network Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.