Literature DB >> 25549624

A global convergence result for processive multisite phosphorylation systems.

Carsten Conradi1, Anne Shiu.   

Abstract

Multisite phosphorylation plays an important role in intracellular signaling. There has been much recent work aimed at understanding the dynamics of such systems when the phosphorylation/dephosphorylation mechanism is distributive, that is, when the binding of a substrate and an enzyme molecule results in the addition or removal of a single phosphate group and repeated binding therefore is required for multisite phosphorylation. In particular, such systems admit bistability. Here, we analyze a different class of multisite systems, in which the binding of a substrate and an enzyme molecule results in the addition or removal of phosphate groups at all phosphorylation sites, that is, we consider systems in which the mechanism is processive, rather than distributive. We show that in contrast to distributive systems, processive systems modeled with mass-action kinetics do not admit bistability and, moreover, exhibit rigid dynamics: each invariant set contains a unique equilibrium, which is a global attractor. Additionally, we obtain a monomial parametrization of the steady states. Our proofs rely on a technique of Johnston for using "translated" networks to study systems with "toric steady states," recently given sign conditions for the injectivity of polynomial maps, and a result from monotone systems theory due to Angeli and Sontag.

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Year:  2014        PMID: 25549624     DOI: 10.1007/s11538-014-0054-4

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  10 in total

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8.  Minimal oscillating subnetwork in the Huang-Ferrell model of the MAPK cascade.

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9.  Long-term dynamics of multisite phosphorylation.

Authors:  Boris Y Rubinstein; Henry H Mattingly; Alexander M Berezhkovskii; Stanislav Y Shvartsman
Journal:  Mol Biol Cell       Date:  2016-05-25       Impact factor: 4.138

10.  A computational framework for a Lyapunov-enabled analysis of biochemical reaction networks.

Authors:  M Ali Al-Radhawi; David Angeli; Eduardo D Sontag
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  10 in total

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