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  1. Proceedings of the 8th International Conference on Computational Methods in Systems Biology (CMSB '10)
  2. Steady-state solution of biochemical systems, beyond S-systems via T-invariants
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From species to pathway and tissue as process
Building cell-like structures from the bottom-up
Discrete causal model view of biological networks
Steady-state solution of biochemical systems, beyond S-systems via T-invariants
On verifying Bio-PEPA models
Target driven biochemical network reconstruction based on petri nets and simulated annealing
A generic abstract machine for stochastic process calculi
Hybrid numerical solution of the chemical master equation
Action-based analysis of discrete regulatory networks with short-term stimuli
Stochasticity in reactions: a probabilistic Boolean modeling approach
Understanding signalling networks as collections of signal transduction pathways
A comparative study of stochastic analysis techniques
Structural identification of GMA models: algorithm and model comparison

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Steady-state solution of biochemical systems, beyond S-systems via T-invariants

Content Provider ACM Digital Library
Author Nabli, Faten Soliman, Sylvain
Abstract In recent years Systems Biology has become a rich field of study, trying to encompass all the information that has become available thanks to the new high-throughput techniques of biologists, in order to build detailed models of complex systems. Some models have been growing bigger and bigger, but lacking most of precise kinetic data. Other models remain of reasonable size, but have an even larger uncertainty about parameter values. Unfortunately, very few analyses allow to extract information about the dynamics of these models when pure symbolic computations fails. This article presents a way to generalize well-known results about the steady-state analysis of some symbolic Ordinary Differential Equations systems by taking into account the structure of the reaction network. The structural study of the underlying Petri net, usually used mostly for metabolic flux analysis, will provide classes where the computation of some steady states of the system is possible, even though the original symbolic model did not form an S-system and was not solvable by state-of-the-art symbolic computation software. This new method is then illustrated on some models of the Biomodels repository and is followed by a brief discussion.
Starting Page 14
Ending Page 22
Page Count 9
File Format PDF
ISBN 9781450300681
DOI 10.1145/1839764.1839768
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-09-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword T-invariants Steady-state analysis Systems biology Mass action S-systems
Content Type Text
Resource Type Article
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