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Identifiability from a Few Species for a Class of Biochemical Reaction Networks.
Jeronimo, Gabriela; Pérez Millán, Mercedes; Solernó, Pablo.
Afiliação
  • Jeronimo G; Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Matemática, Ciudad Universitaria, Pab. I, C1428EGA, Buenos Aires, Argentina.
  • Pérez Millán M; Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto de Investigaciones Matemáticas "Luis A. Santaló" (IMAS), Facultad de Ciencias Exactas y Naturales, Ciudad Universitaria, Pab. I, C1428EGA, Buenos Aires, Argentina.
  • Solernó P; Universidad de Buenos Aires, Ciclo Básico Común, Departamento de Ciencias Exactas, Buenos Aires, Argentina.
Bull Math Biol ; 81(7): 2133-2175, 2019 07.
Article em En | MEDLINE | ID: mdl-30945101
Under mass-action kinetics, biochemical reaction networks give rise to polynomial autonomous dynamical systems whose parameters are often difficult to estimate. We deal in this paper with the problem of identifying the kinetic parameters of a class of biochemical networks which are abundant, such as multisite phosphorylation systems and phosphorylation cascades (for example, MAPK cascades). For any system of this class, we explicitly exhibit a single species for each connected component of the associated digraph such that the successive total derivatives of its concentration allow us to identify all the parameters occurring in the component. The number of derivatives needed is bounded essentially by the length of the corresponding connected component of the digraph. Moreover, in the particular case of the cascades, we show that the parameters can be identified from a bounded number of successive derivatives of the last product of the last layer. This theoretical result induces also a heuristic interpolation-based identifiability procedure to recover the values of the rate constants from exact measurements.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes e Vias Metabólicas / Modelos Biológicos Limite: Animals / Humans Idioma: En Revista: Bull Math Biol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Argentina

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes e Vias Metabólicas / Modelos Biológicos Limite: Animals / Humans Idioma: En Revista: Bull Math Biol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Argentina