Literature DB >> 27480320

Intermediates, catalysts, persistence, and boundary steady states.

Michael Marcondes de Freitas1, Elisenda Feliu1, Carsten Wiuf2.   

Abstract

For dynamical systems arising from chemical reaction networks, persistence is the property that each species concentration remains positively bounded away from zero, as long as species concentrations were all positive in the beginning. We describe two graphical procedures for simplifying reaction networks without breaking known necessary or sufficient conditions for persistence, by iteratively removing so-called intermediates and catalysts from the network. The procedures are easy to apply and, in many cases, lead to highly simplified network structures, such as monomolecular networks. For specific classes of reaction networks, we show that these conditions for persistence are equivalent to one another. Furthermore, they can also be characterized by easily checkable strong connectivity properties of a related graph. In particular, this is the case for (conservative) monomolecular networks, as well as cascades of a large class of post-translational modification systems (of which the MAPK cascade and the n-site futile cycle are prominent examples). Since one of the aforementioned sufficient conditions for persistence precludes the existence of boundary steady states, our method also provides a graphical tool to check for that.

Keywords:  Boundary steady states; Catalysts; Intermediates; Model reduction; Persistence; Post-translational modification; Reaction network theory

Mesh:

Year:  2016        PMID: 27480320     DOI: 10.1007/s00285-016-1046-9

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  9 in total

1.  Simplifying biochemical models with intermediate species.

Authors:  Elisenda Feliu; Carsten Wiuf
Journal:  J R Soc Interface       Date:  2013-07-24       Impact factor: 4.118

2.  Siphons in chemical reaction networks.

Authors:  Anne Shiu; Bernd Sturmfels
Journal:  Bull Math Biol       Date:  2010-01-21       Impact factor: 1.758

3.  Graph-theoretic characterizations of monotonicity of chemical networks in reaction coordinates.

Authors:  David Angeli; Patrick De Leenheer; Eduardo Sontag
Journal:  J Math Biol       Date:  2009-12-01       Impact factor: 2.259

4.  A Petri net approach to the study of persistence in chemical reaction networks.

Authors:  David Angeli; Patrick De Leenheer; Eduardo D Sontag
Journal:  Math Biosci       Date:  2007-08-01       Impact factor: 2.144

5.  An analytical approach to bistable biological circuit discrimination using real algebraic geometry.

Authors:  Dan Siegal-Gaskins; Elisa Franco; Tiffany Zhou; Richard M Murray
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

6.  Parameter-free methods distinguish Wnt pathway models and guide design of experiments.

Authors:  Adam L MacLean; Zvi Rosen; Helen M Byrne; Heather A Harrington
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-17       Impact factor: 11.205

7.  Autocatalysis in reaction networks.

Authors:  Abhishek Deshpande; Manoj Gopalkrishnan
Journal:  Bull Math Biol       Date:  2014-09-23       Impact factor: 1.758

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

Authors:  Matthew Thomson; Jeremy Gunawardena
Journal:  J Theor Biol       Date:  2009-09-16       Impact factor: 2.691

9.  Switches, excitable responses and oscillations in the Ring1B/Bmi1 ubiquitination system.

Authors:  Lan K Nguyen; Javier Muñoz-García; Helene Maccario; Aaron Ciechanover; Walter Kolch; Boris N Kholodenko
Journal:  PLoS Comput Biol       Date:  2011-12-15       Impact factor: 4.475

  9 in total
  3 in total

Review 1.  Dynamics of Posttranslational Modification Systems: Recent Progress and Future Directions.

Authors:  Carsten Conradi; Anne Shiu
Journal:  Biophys J       Date:  2018-02-06       Impact factor: 4.033

2.  Oscillations and bistability in a model of ERK regulation.

Authors:  Nida Obatake; Anne Shiu; Xiaoxian Tang; Angélica Torres
Journal:  J Math Biol       Date:  2019-07-25       Impact factor: 2.259

3.  Identifying parameter regions for multistationarity.

Authors:  Carsten Conradi; Elisenda Feliu; Maya Mincheva; Carsten Wiuf
Journal:  PLoS Comput Biol       Date:  2017-10-03       Impact factor: 4.475

  3 in total

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