In distributive phosphorylation catalytic constants enable non-trivial dynamics
Carsten Conradi, Maya Mincheva

TL;DR
This paper demonstrates that catalytic constants in distributive double phosphorylation, whether sequential or cyclic, enable complex dynamics such as multistationarity and oscillations, with implications for intracellular signaling.
Contribution
It shows that the same inequality involving catalytic constants governs both multistationarity and oscillations in different phosphorylation motifs, revealing a unified dynamic mechanism.
Findings
Cyclic distributive phosphorylation can exhibit oscillations via Hopf bifurcations.
The same catalytic constant inequality underpins multistationarity and oscillations.
A procedure is provided to generate parameters for sustained oscillations.
Abstract
Ordered distributive double phosphorylation is a recurrent motif in intracellular signaling and control. It is either sequential (where the site phosphorylated last is dephosphorylated first) or cyclic (where the site phosphorylated first is dephosphorylated first). Sequential distributive double phosphorylation has been extensively studied and an inequality involving only the catalytic constants of kinase and phosphatase is known to be sufficient for multistationarity. As multistationarity is necessary for bistability it has been argued that these constants enable bistability. Here we show for cyclic distributive double phosphorylation that if its catalytic constants satisfy the very same inequality, then Hopf bifurcations and hence sustained oscillations can occur. Hence we argue that in distributive double phosphorylation (sequential or distributive) the catalytic constants enable…
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 · Nonlinear Dynamics and Pattern Formation · Protein Structure and Dynamics
