Absolute concentration robustness (ACR) is a condition wherein a species in a chemical kinetic system possesses the same value for any positive steady state the network may admit regardless of initial conditions. Thus far, results on ACR center on chemical kinetic systems with deficiency one. In this contribution, we use the idea of dynamic equivalence of chemical reaction networks to derive novel results that guarantee ACR for some classes of power law kinetic systems with deficiency zero. Furthermore, using network decomposition, we identify ACR in higher deficiency networks (i.e. deficiency >= 2) by considering the presence of a low deficiency subnetwork with ACR. Network decomposition also enabled us to recognize and define a weaker for...
Biochemical systems that express certain chemical species of interest at the same level at any posit...
Many reaction networks arising in applications are multistationary, that is, they have the capacity ...
Cells are very complex to analyze because they consist of many components that interact with each ot...
There have been recent theoretic results that provide sufficient conditions for the existence of a s...
The steady state property of absolute concentration robustness (ACR) has recently gained attention i...
Networks with absolute concentration robustness (ACR) have the property that a translation of a coor...
A reaction system exhibits "absolute concentration robustness" (ACR) in some species if the positive...
Deterministic reaction networks equipped with a kinetics are termed absolute concentration robust (A...
In this work, we design a type of controller that consists of adding a specific set of reactions to ...
Absolute Concentration Robustness (ACR) was introduced by Shinar and Feinberg as robustness of equil...
For a reaction network N with species set S, a log-parametrized (LP) set is a non-empty set of the f...
In recent years, the concept of absolute concentration robust (ACR) biochemical reaction systems has...
We study the robustness of the steady states of a class of systems of autonomous ordinary differenti...
Robustness is an observable property for which a chemical reaction network (CRN) can maintain its fu...
This work introduces a novel approach to study properties of positive equilibria of a chemical react...
Biochemical systems that express certain chemical species of interest at the same level at any posit...
Many reaction networks arising in applications are multistationary, that is, they have the capacity ...
Cells are very complex to analyze because they consist of many components that interact with each ot...
There have been recent theoretic results that provide sufficient conditions for the existence of a s...
The steady state property of absolute concentration robustness (ACR) has recently gained attention i...
Networks with absolute concentration robustness (ACR) have the property that a translation of a coor...
A reaction system exhibits "absolute concentration robustness" (ACR) in some species if the positive...
Deterministic reaction networks equipped with a kinetics are termed absolute concentration robust (A...
In this work, we design a type of controller that consists of adding a specific set of reactions to ...
Absolute Concentration Robustness (ACR) was introduced by Shinar and Feinberg as robustness of equil...
For a reaction network N with species set S, a log-parametrized (LP) set is a non-empty set of the f...
In recent years, the concept of absolute concentration robust (ACR) biochemical reaction systems has...
We study the robustness of the steady states of a class of systems of autonomous ordinary differenti...
Robustness is an observable property for which a chemical reaction network (CRN) can maintain its fu...
This work introduces a novel approach to study properties of positive equilibria of a chemical react...
Biochemical systems that express certain chemical species of interest at the same level at any posit...
Many reaction networks arising in applications are multistationary, that is, they have the capacity ...
Cells are very complex to analyze because they consist of many components that interact with each ot...