Original article can be found at: http://www.sciencedirect.com/science/journal/03032647 Copyright Elsevier Ireland Ltd. DOI: 10.1016/j.biosystems.2008.05.018We propose a modeling and analysis method for biochemical reactions based on finite state automata. This is a completely different approach compared to traditional modeling of reactions by differential equations. Our method aims to explore the algebraic structure behind chemical reactions using automatically generated coordinate systems. In this paper we briefly summarize the underlying mathematical theory (the algebraic hierarchical decomposition theory of finite state automata) and describe how such automata can be derived from the description of chemical reaction networks.We also out...
Recent advances in systems biology have uncovered detailed mechanisms of biological pro-cesses such ...
We propose a new approach to the model reduction of biochemical reaction networks governed by variou...
Background: In this paper we propose a model reduction method for biochemical reaction networks gove...
AbstractThis paper presents a stochastic modelling framework based on stochastic automata networks (...
AbstractReaction systems are a formal model based on the regulation mechanisms of facilitation and i...
A central claim of computational systems biology is that, by drawing on mathematical approaches deve...
In prior work we demonstrated the implementation of logic gates, sequential computers (universal Tur...
Interaction computing (IC) aims to map the properties of integrable low-dimensional non-linear dynam...
This dissertation develops the algebraic study of chemical reaction networks endowed with mass-actio...
International audienceIn this invited paper, we survey some of the results obtained in the computer ...
This paper presents a formal framework for investigating processes driven by interactions between bi...
We analyse two very simple Petri nets inspired by the Oregonator model of the Belousov-Zhabotinsky r...
Interaction computing (IC) aims to map the properties of integrable low-dimensional non-linear dynam...
A biochemical reaction network is the system in which biochemical species interact through various r...
Chemical and biochemical systems are presented as collectives of interacting stochastic automata: ea...
Recent advances in systems biology have uncovered detailed mechanisms of biological pro-cesses such ...
We propose a new approach to the model reduction of biochemical reaction networks governed by variou...
Background: In this paper we propose a model reduction method for biochemical reaction networks gove...
AbstractThis paper presents a stochastic modelling framework based on stochastic automata networks (...
AbstractReaction systems are a formal model based on the regulation mechanisms of facilitation and i...
A central claim of computational systems biology is that, by drawing on mathematical approaches deve...
In prior work we demonstrated the implementation of logic gates, sequential computers (universal Tur...
Interaction computing (IC) aims to map the properties of integrable low-dimensional non-linear dynam...
This dissertation develops the algebraic study of chemical reaction networks endowed with mass-actio...
International audienceIn this invited paper, we survey some of the results obtained in the computer ...
This paper presents a formal framework for investigating processes driven by interactions between bi...
We analyse two very simple Petri nets inspired by the Oregonator model of the Belousov-Zhabotinsky r...
Interaction computing (IC) aims to map the properties of integrable low-dimensional non-linear dynam...
A biochemical reaction network is the system in which biochemical species interact through various r...
Chemical and biochemical systems are presented as collectives of interacting stochastic automata: ea...
Recent advances in systems biology have uncovered detailed mechanisms of biological pro-cesses such ...
We propose a new approach to the model reduction of biochemical reaction networks governed by variou...
Background: In this paper we propose a model reduction method for biochemical reaction networks gove...