Artículo
Abstract:
The nonlinearities found in molecular networks usually prevent mathematical analysis of network behaviour, which has largely been studied by numerical simulation. This can lead to difficult problems of parameter determination. However, molecular networks give rise, through mass-action kinetics, to polynomial dynamical systems, whose steady states are zeros of a set of polynomial equations. These equations may be analysed by algebraic methods, in which parameters are treated as symbolic expressions whose numerical values do not have to be known in advance. For instance, an "invariant" of a network is a polynomial expression on selected state variables that vanishes in any steady state. Invariants have been found that encode key network properties and that discriminate between different network structures. Although invariants may be calculated by computational algebraic methods, such as Gröbner bases, these become computationally infeasible for biologically realistic networks. Here, we exploit Chemical Reaction Network Theory (CRNT) to develop an efficient procedure for calculating invariants that are linear combinations of "complexes", or the monomials coming from mass action. We show how this procedure can be used in proving earlier results of Horn and Jackson and of Shinar and Feinberg for networks of deficiency at most one. We then apply our method to enzyme bifunctionality, including the bacterial EnvZ/OmpR osmolarity regulator and the mammalian 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase glycolytic regulator, whose networks have deficiencies up to four. We show that bifunctionality leads to different forms of concentration control that are robust to changes in initial conditions or total amounts. Finally, we outline a systematic procedure for using complex-linear invariants to analyse molecular networks of any deficiency. © 2012 Elsevier Ltd.
Registro:
| Documento: | Artículo |
| Título: | Complex-linear invariants of biochemical networks |
| Autor: | Karp, R.L.; Pérez Millán, M.; Dasgupta, T.; Dickenstein, A.; Gunawardena, J. |
| Filiación: | Department of Systems Biology, Harvard Medical School, Boston, MA 02115, United States Departamento de Matemática, FCEN, Universidad de Buenos Aires, Argentina IMAS-CONICET, C1428EGA Buenos Aires, Argentina |
| Palabras clave: | Bifunctional enzyme; Chemical Reaction Network Theory; Invariant; Robustness; 6 phosphofructo 2 kinase; fructose 2,6 bisphosphatase; chemical reaction; enzyme; molecular analysis; reaction kinetics; theoretical study; article; chemical reaction; Chemical Reaction Network Theory; complex formation; complex linear invariant; enzyme activity; mammal; mass action; mathematical computing; mathematical parameters; molecular dynamics; nonlinear system; osmolarity; priority journal; process development; theory; Bacterial Outer Membrane Proteins; Bacterial Proteins; Escherichia coli; Escherichia coli Proteins; Glycolysis; Models, Biological; Multienzyme Complexes; Phosphofructokinase-2; Trans-Activators; Bacteria (microorganisms); Mammalia |
| Año: | 2012 |
| Volumen: | 311 |
| Página de inicio: | 130 |
| Página de fin: | 138 |
| DOI: | http://dx.doi.org/10.1016/j.jtbi.2012.07.004 |
| Título revista: | Journal of Theoretical Biology |
| Título revista abreviado: | J. Theor. Biol. |
| ISSN: | 00225193 |
| CODEN: | JTBIA |
| CAS: | 6 phosphofructo 2 kinase, 78689-77-7; fructose 2,6 bisphosphatase, 81611-75-8; Bacterial Outer Membrane Proteins; Bacterial Proteins; Escherichia coli Proteins; Multienzyme Complexes; Phosphofructokinase-2, 2.7.1.105; Trans-Activators; envZ protein, E coli, 2.7.3.-; osmolarity response regulator proteins |
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00225193_v311_n_p130_Karp |
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Citas:
---------- APA ----------
Karp, R.L., Pérez Millán, M., Dasgupta, T., Dickenstein, A. & Gunawardena, J. (2012) . Complex-linear invariants of biochemical networks. Journal of Theoretical Biology, 311, 130-138.http://dx.doi.org/10.1016/j.jtbi.2012.07.004
---------- CHICAGO ----------
Karp, R.L., Pérez Millán, M., Dasgupta, T., Dickenstein, A., Gunawardena, J. "Complex-linear invariants of biochemical networks" . Journal of Theoretical Biology 311 (2012) : 130-138.http://dx.doi.org/10.1016/j.jtbi.2012.07.004
---------- MLA ----------
Karp, R.L., Pérez Millán, M., Dasgupta, T., Dickenstein, A., Gunawardena, J. "Complex-linear invariants of biochemical networks" . Journal of Theoretical Biology, vol. 311, 2012, pp. 130-138.http://dx.doi.org/10.1016/j.jtbi.2012.07.004
---------- VANCOUVER ----------
Karp, R.L., Pérez Millán, M., Dasgupta, T., Dickenstein, A., Gunawardena, J. Complex-linear invariants of biochemical networks. J. Theor. Biol. 2012;311:130-138.http://dx.doi.org/10.1016/j.jtbi.2012.07.004
