Literature DB >> 19765594

The rational parameterization theorem for multisite post-translational modification systems.

Matthew Thomson1, Jeremy Gunawardena.   

Abstract

Post-translational modification of proteins plays a central role in cellular regulation but its study has been hampered by the exponential increase in substrate modification forms ("modforms") with increasing numbers of sites. We consider here biochemical networks arising from post-translational modification under mass-action kinetics, allowing for multiple substrates, having different types of modification (phosphorylation, methylation, acetylation, etc.) on multiple sites, acted upon by multiple forward and reverse enzymes (in total number L), using general enzymatic mechanisms. These assumptions are substantially more general than in previous studies. We show that the steady-state modform concentrations constitute an algebraic variety that can be parameterized by rational functions of the L free enzyme concentrations, with coefficients which are rational functions of the rate constants. The parameterization allows steady states to be calculated by solving L algebraic equations, a dramatic reduction compared to simulating an exponentially large number of differential equations. This complexity collapse enables analysis in contexts that were previously intractable and leads to biological predictions that we review. Our results lay a foundation for the systems biology of post-translational modification and suggest deeper connections between biochemical networks and algebraic geometry.

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Year:  2009        PMID: 19765594      PMCID: PMC2800989          DOI: 10.1016/j.jtbi.2009.09.003

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  26 in total

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3.  Detection of multistability, bifurcations, and hysteresis in a large class of biological positive-feedback systems.

Authors:  David Angeli; James E Ferrell; Eduardo D Sontag
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4.  Reconstitution of circadian oscillation of cyanobacterial KaiC phosphorylation in vitro.

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Journal:  Science       Date:  2005-04-15       Impact factor: 47.728

Review 5.  Multisite and hierarchal protein phosphorylation.

Authors:  P J Roach
Journal:  J Biol Chem       Date:  1991-08-05       Impact factor: 5.157

6.  A mechanism for memory storage insensitive to molecular turnover: a bistable autophosphorylating kinase.

Authors:  J E Lisman
Journal:  Proc Natl Acad Sci U S A       Date:  1985-05       Impact factor: 11.205

7.  Protein phosphorylation as a regulatory device.

Authors:  E Shacter-Noiman; P B Chock; E R Stadtman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1983-07-05       Impact factor: 6.237

8.  An amplified sensitivity arising from covalent modification in biological systems.

Authors:  A Goldbeter; D E Koshland
Journal:  Proc Natl Acad Sci U S A       Date:  1981-11       Impact factor: 11.205

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Journal:  Mol Cell       Date:  2004-09-24       Impact factor: 17.970

10.  Unlimited multistability in multisite phosphorylation systems.

Authors:  Matthew Thomson; Jeremy Gunawardena
Journal:  Nature       Date:  2009-06-17       Impact factor: 49.962

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  28 in total

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4.  A computational approach to persistence, permanence, and endotacticity of biochemical reaction systems.

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5.  Structural conditions on complex networks for the Michaelis-Menten input-output response.

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Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-07       Impact factor: 11.205

6.  Robustness and parameter geography in post-translational modification systems.

Authors:  Kee-Myoung Nam; Benjamin M Gyori; Silviana V Amethyst; Daniel J Bates; Jeremy Gunawardena
Journal:  PLoS Comput Biol       Date:  2020-05-04       Impact factor: 4.475

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8.  Intermediates, catalysts, persistence, and boundary steady states.

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9.  Graphical reduction of reaction networks by linear elimination of species.

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10.  Steady state detection of chemical reaction networks using a simplified analytical method.

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