Given a class of (bio)Chemical Reaction Networks (CRNs) identified by a stoichiometric matrix S, we define as dual reaction network, CRN*, the class of (bio)Chemical Reaction Networks identified by the transpose stoichiometric matrix S. We consider both the dynamical systems describing the time evolution of the species concentrations and of the reaction rates. First, based on the analysis of the Jacobian matrix, we show that the structural (i.e., parameter-independent) local stability properties are equivalent for a CRN and its dual CRN*. We also assess the structural global stability properties of the two dual networks, analysing both concentration and rate representations. We prove that the existence of a polyhedral (or piecewise-linear) ...
Abstract. Most differential equations found in chemical reaction networks (CRNs) have the form: dx d...
This paper further develops the connection between Chemical Reaction Network Theory (CRNT) and Bioch...
AbstractThe structure of dynamic states in biological networks is of fundamental importance in under...
A new system-theoretic approach for studying the stability and control of chemical reaction networks...
Structural properties, independent of specific parameter values, can explain the robustness of bioch...
We consider the problem of assessing structural stability of biochemical reaction networks with mono...
We consider the problem of assessing structural stability of biochemical reaction networks with mono...
Piecewise-linear in rates (PWLR) Lyapunov functions are introduced for a class of chemical reaction ...
For a vast class of dynamical networks, including chemical reaction networks (CRNs) with monotonic r...
This paper contributes to extending the validity of Lyapunov function PDEs whose solution is conject...
Although Chemical Reaction Networks (CRNs) form a rich class of nonlinear systems that can exhibit w...
A class of chemical reaction networks is described with the property that each positive equilibrium ...
We present three examples of chemical reaction networks whose ordinary differential equation scaling...
Complex molecular biological processes such as transcription and translation, signal transduction, p...
A treatment of a chemical reaction network theory is given from the perspective of nonlinear network...
Abstract. Most differential equations found in chemical reaction networks (CRNs) have the form: dx d...
This paper further develops the connection between Chemical Reaction Network Theory (CRNT) and Bioch...
AbstractThe structure of dynamic states in biological networks is of fundamental importance in under...
A new system-theoretic approach for studying the stability and control of chemical reaction networks...
Structural properties, independent of specific parameter values, can explain the robustness of bioch...
We consider the problem of assessing structural stability of biochemical reaction networks with mono...
We consider the problem of assessing structural stability of biochemical reaction networks with mono...
Piecewise-linear in rates (PWLR) Lyapunov functions are introduced for a class of chemical reaction ...
For a vast class of dynamical networks, including chemical reaction networks (CRNs) with monotonic r...
This paper contributes to extending the validity of Lyapunov function PDEs whose solution is conject...
Although Chemical Reaction Networks (CRNs) form a rich class of nonlinear systems that can exhibit w...
A class of chemical reaction networks is described with the property that each positive equilibrium ...
We present three examples of chemical reaction networks whose ordinary differential equation scaling...
Complex molecular biological processes such as transcription and translation, signal transduction, p...
A treatment of a chemical reaction network theory is given from the perspective of nonlinear network...
Abstract. Most differential equations found in chemical reaction networks (CRNs) have the form: dx d...
This paper further develops the connection between Chemical Reaction Network Theory (CRNT) and Bioch...
AbstractThe structure of dynamic states in biological networks is of fundamental importance in under...