Multistationarity in sequential distributed multisite phosphorylation networks
Katharina Holstein, Dietrich Flockerzi, Carsten Conradi

TL;DR
This paper provides a necessary and sufficient sign condition for multistationarity in sequential multisite phosphorylation networks, enabling explicit determination of rate constants where multiple steady states occur.
Contribution
It introduces a sign condition expressed via linear systems that characterizes multistationarity and offers a systematic way to identify parameter regions with multiple steady states.
Findings
Multistationarity exists for all n ≥ 2 in these networks.
The sign condition allows explicit calculation of rate constants for multistationarity.
A new proof confirms multistationarity is possible for any n ≥ 2.
Abstract
Multisite phosphorylation networks are encountered in many intracellular processes like signal transduction, cell-cycle control or nuclear signal integration. In this contribution networks describing the phosphorylation and dephosphorylation of a protein at sites in a sequential distributive mechanism are considered. Multistationarity (i.e.\ the existence of at least two positive steady state solutions of the associated polynomial dynamical system) has been analyzed and established in several contributions. It is, for example, known that there exist values for he rate constants where multistationarity occurs. However, nothing else is known about these rate constants. Here we present a sign condition that is necessary and sufficient for multistationarity in -site sequential, distributive phosphorylation. We express this sign condition in terms of linear systems and show that…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGene Regulatory Network Analysis · Microtubule and mitosis dynamics · Protein Kinase Regulation and GTPase Signaling
