Intermediates, catalysts, persistence, and boundary steady states

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.

[1]  Jeremy Gunawardena,et al.  The rational parameterization theorem for multisite post-translational modification systems. , 2009, Journal of theoretical biology.

[2]  Roberto Cordone,et al.  Enumeration algorithms for minimal siphons in Petri nets based on place constraints , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[3]  G. Smirnov Introduction to the Theory of Differential Inclusions , 2002 .

[4]  Gilles Gnacadja,et al.  Reachability, persistence, and constructive chemical reaction networks (part III): a mathematical formalism for binary enzymatic networks and application to persistence , 2011 .

[5]  Bernd Sturmfels,et al.  Siphons in Chemical Reaction Networks , 2009, Bulletin of mathematical biology.

[6]  Boris N. Kholodenko,et al.  Switches, Excitable Responses and Oscillations in the Ring1B/Bmi1 Ubiquitination System , 2011, PLoS Comput. Biol..

[7]  N. Rashevsky,et al.  Mathematical biology , 1961, Connecticut medicine.

[8]  Gilles Gnacadja Reachability, persistence, and constructive chemical reaction networks (part I): reachability approach to the persistence of chemical reaction networks , 2011 .

[9]  Lan K. Nguyen,et al.  Excitable Responses and Oscillations in the Ring 1 B / Bmi 1 Ubiquitination System , 2022 .

[10]  Eduardo D. Sontag Structure and stability of certain chemical networks and applications to the kinetic proofreading model of T-cell receptor signal transduction , 2001, IEEE Trans. Autom. Control..

[11]  Horst R. Thieme,et al.  Dynamical Systems And Population Persistence , 2016 .

[12]  Fedor Nazarov,et al.  Persistence and Permanence of Mass-Action and Power-Law Dynamical Systems , 2010, SIAM J. Appl. Math..

[13]  Ezra Miller,et al.  A Geometric Approach to the Global Attractor Conjecture , 2013, SIAM J. Appl. Dyn. Syst..

[14]  Richard M. Murray,et al.  An analytical approach to bistable biological circuit discrimination using real algebraic geometry , 2015 .

[15]  H. Amann,et al.  Ordinary Differential Equations: An Introduction to Nonlinear Analysis , 1990 .

[16]  M. Feinberg The existence and uniqueness of steady states for a class of chemical reaction networks , 1995 .

[17]  David Angeli,et al.  Graph-theoretic characterizations of monotonicity of chemical networks in reaction coordinates , 2010, Journal of mathematical biology.

[18]  Manoj Gopalkrishnan,et al.  Autocatalysis in Reaction Networks , 2013, Bulletin of mathematical biology.

[19]  David F. Anderson,et al.  A Proof of the Global Attractor Conjecture in the Single Linkage Class Case , 2011, SIAM J. Appl. Math..

[20]  J. Bauer,et al.  Chemical reaction network theory for in-silico biologists , 2003 .

[21]  M. Feinberg Chemical reaction network structure and the stability of complex isothermal reactors—I. The deficiency zero and deficiency one theorems , 1987 .

[22]  David Angeli,et al.  Persistence Results for Chemical Reaction Networks with Time-Dependent Kinetics and No Global Conservation Laws , 2011, SIAM J. Appl. Math..

[23]  Erica J. Graham,et al.  Parameter-free methods distinguish Wnt pathway models and guide design of experiments , 2015 .

[24]  Eduardo Sontag,et al.  A Petri net approach to the study of persistence in chemical reaction networks. , 2006, Mathematical biosciences.

[25]  R. Jackson,et al.  General mass action kinetics , 1972 .

[26]  David F. Anderson,et al.  Global Asymptotic Stability for a Class of Nonlinear Chemical Equations , 2007, SIAM J. Appl. Math..

[27]  Elisenda Feliu,et al.  Simplifying biochemical models with intermediate species , 2013, Journal of The Royal Society Interface.