A dynamical system obtains a wide variety of kinetic realizations, which is advantageous for the analysis of biochemical systems. A reaction network, derived from a dynamical system, may or may not possess some properties needed for a thorough analysis. We present eight reaction network operations that can modify a reaction network while preserving the dynamical system. In particular, we study the structural and kinetic properties of these transformed systems, such as stoichiometric alignment, concordance and existence of equilibria. To illustrate our approach, we use the kinetic realizations of the following biochemical systems: (1) calcium signaling in the olfactory system, (2) metabolic insulin signaling and (3) monolignol biosynthesis i...
Recent advances in systems biology have uncovered detailed mechanisms of biological pro-cesses such ...
Systems biologists increasingly use network representations to investigate biochemical pathways and ...
International audienceBiochemical reaction networks grow bigger and bigger, fed by the high-throughp...
This paper further develops the connection between Chemical Reaction Network Theory (CRNT) and Bioch...
The realization problem in reaction kinetics Reaction kinetic systems form a special class of positi...
154 páginasKinetic models are central in systems biology to describe and analyse metabolic, generic ...
We will concentrate on biochemical reaction networks, of interest in systems biology, in particular ...
Background: In this paper we propose a model reduction method for biochemical reaction networks gove...
Abstract Complex molecular biological processes such as transcription and translation, signal transd...
© 2019, Springer Nature Switzerland AG. We outline an approach to analysis of dynamics of biosystems...
In prior work we demonstrated the implementation of logic gates, sequential computers (universal Tur...
AbstractThe constraint-based analysis has emerged as a useful tool for analysis of biochemical netwo...
The constraint-based analysis has emerged as a useful tool for analysis of biochemical networks. Thi...
The modelling of chemical and biochemical systems is highly dependent on the reaction network of the...
Analysis of the dynamic and steady-state properties of biochemical networks hinges on information ab...
Recent advances in systems biology have uncovered detailed mechanisms of biological pro-cesses such ...
Systems biologists increasingly use network representations to investigate biochemical pathways and ...
International audienceBiochemical reaction networks grow bigger and bigger, fed by the high-throughp...
This paper further develops the connection between Chemical Reaction Network Theory (CRNT) and Bioch...
The realization problem in reaction kinetics Reaction kinetic systems form a special class of positi...
154 páginasKinetic models are central in systems biology to describe and analyse metabolic, generic ...
We will concentrate on biochemical reaction networks, of interest in systems biology, in particular ...
Background: In this paper we propose a model reduction method for biochemical reaction networks gove...
Abstract Complex molecular biological processes such as transcription and translation, signal transd...
© 2019, Springer Nature Switzerland AG. We outline an approach to analysis of dynamics of biosystems...
In prior work we demonstrated the implementation of logic gates, sequential computers (universal Tur...
AbstractThe constraint-based analysis has emerged as a useful tool for analysis of biochemical netwo...
The constraint-based analysis has emerged as a useful tool for analysis of biochemical networks. Thi...
The modelling of chemical and biochemical systems is highly dependent on the reaction network of the...
Analysis of the dynamic and steady-state properties of biochemical networks hinges on information ab...
Recent advances in systems biology have uncovered detailed mechanisms of biological pro-cesses such ...
Systems biologists increasingly use network representations to investigate biochemical pathways and ...
International audienceBiochemical reaction networks grow bigger and bigger, fed by the high-throughp...