The aim of this thesis is to improve the understanding of signaling pathways through a theoretical study of chemical reaction networks. The equilibirum solution to the equations derived from chemical networks will be analytically resolved using tools from algebraic geometry. The chapters are organized as follows: 1. An introduction to chemical dynamics in biological systems with a special emphasis on steady state analysis 2. Complete description of the chemical reaction network theory explaining the new results applied in this thesis We also cover the inverse problem in reaction kinetics whereby if the differential equations could be derived from a chemical system, there is the possibility to apply the theorems covered in the chapter 3....
In this study, the stochastic biochemical reaction model is proposed based on the law of mass act...
Chemical and biological processes present a challenge when it comes to modelling and analysis. The m...
Systems biologists increasingly use network representations to investigate biochemical pathways and ...
The aim of this thesis is to improve the understanding of signaling pathways through a theoretical s...
A biochemical reaction network is the system in which biochemical species interact through various r...
In this thesis we address dynamic systems problems that arise from the study of biochemical network...
Feinberg's Chemical Reaction Network Theory (CRNT) connects the structure of a biochemical reaction ...
Feinberg's Chemical Reaction Network Theory (CRNT) connects the structure of a biochemical reaction ...
In biological organisms, networks of chemical reactions control the processing of information in a c...
Different types of macroscopic reaction kinetics can be derived from microscopic molecular interacti...
We will concentrate on biochemical reaction networks, of interest in systems biology, in particular ...
Complex molecular biological processes such as transcription and translation, signal transduction, p...
Systems theory and cell biology have enjoyed a long relationship that has received renewed interest ...
Today, we can avail of comprehensive information on the molecular mechanisms of apoptosis signaling...
The purpose of the lecture associated with this paper is to present problems, concepts, and theorems...
In this study, the stochastic biochemical reaction model is proposed based on the law of mass act...
Chemical and biological processes present a challenge when it comes to modelling and analysis. The m...
Systems biologists increasingly use network representations to investigate biochemical pathways and ...
The aim of this thesis is to improve the understanding of signaling pathways through a theoretical s...
A biochemical reaction network is the system in which biochemical species interact through various r...
In this thesis we address dynamic systems problems that arise from the study of biochemical network...
Feinberg's Chemical Reaction Network Theory (CRNT) connects the structure of a biochemical reaction ...
Feinberg's Chemical Reaction Network Theory (CRNT) connects the structure of a biochemical reaction ...
In biological organisms, networks of chemical reactions control the processing of information in a c...
Different types of macroscopic reaction kinetics can be derived from microscopic molecular interacti...
We will concentrate on biochemical reaction networks, of interest in systems biology, in particular ...
Complex molecular biological processes such as transcription and translation, signal transduction, p...
Systems theory and cell biology have enjoyed a long relationship that has received renewed interest ...
Today, we can avail of comprehensive information on the molecular mechanisms of apoptosis signaling...
The purpose of the lecture associated with this paper is to present problems, concepts, and theorems...
In this study, the stochastic biochemical reaction model is proposed based on the law of mass act...
Chemical and biological processes present a challenge when it comes to modelling and analysis. The m...
Systems biologists increasingly use network representations to investigate biochemical pathways and ...