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| Format: | Preprint |
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2023
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| Online Access: | https://arxiv.org/abs/2308.08524 |
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| _version_ | 1866929237504557056 |
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| author | Conradi, Carsten Mincheva, Maya |
| author_facet | Conradi, Carsten Mincheva, Maya |
| contents | 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 non-trivial dynamics.
In fact, if the rate constant values in a network of cyclic distributive double phosphorylation are such that Hopf bifurcations and sustained oscillations can occur, then a network of sequential distributive double phosphorylation with the same rate constant values will show multistationarity -- albeit for different values of the total concentrations. For cyclic distributive double phosphorylation we further describe a procedure to generate rate constant values where Hopf bifurcations and hence sustained oscillations can occur. This may, for example, allow for an efficient sampling of oscillatory regions in parameter space.
Our analysis is greatly simplified by the fact that it is possible to reduce the network of cyclic distributive double phosphorylation to what we call a network with a single extreme ray. We summarize key properties of these networks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2308_08524 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | In distributive phosphorylation catalytic constants enable non-trivial dynamics Conradi, Carsten Mincheva, Maya Molecular Networks Dynamical Systems 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 non-trivial dynamics. In fact, if the rate constant values in a network of cyclic distributive double phosphorylation are such that Hopf bifurcations and sustained oscillations can occur, then a network of sequential distributive double phosphorylation with the same rate constant values will show multistationarity -- albeit for different values of the total concentrations. For cyclic distributive double phosphorylation we further describe a procedure to generate rate constant values where Hopf bifurcations and hence sustained oscillations can occur. This may, for example, allow for an efficient sampling of oscillatory regions in parameter space. Our analysis is greatly simplified by the fact that it is possible to reduce the network of cyclic distributive double phosphorylation to what we call a network with a single extreme ray. We summarize key properties of these networks. |
| title | In distributive phosphorylation catalytic constants enable non-trivial dynamics |
| topic | Molecular Networks Dynamical Systems |
| url | https://arxiv.org/abs/2308.08524 |