Qualitative response of interaction networks: application to the validation of biological models

Anne Siegel 1, * Carito Guziolowski 1 Philippe Veber 1 Ovidiu Radulescu 1, 2 Michel Le Borgne 1
* Corresponding author
1 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We advocate the use of qualitative models for the analysis of shift equilibria in large biological systems. We present a mathematical method, allowing qualitative predictions to be made of the behaviour of a biological system. These predictions are not dependent on specific values of the kinetic constants. We show how these methods can be used to improve understanding of a complex regulatory system.
Complete list of metadatas

Cited literature [6 references]  Display  Hide  Download

https://hal.inria.fr/inria-00178854
Contributor : Anne Siegel <>
Submitted on : Friday, October 12, 2007 - 12:52:09 PM
Last modification on : Thursday, November 15, 2018 - 11:57:19 AM
Long-term archiving on : Thursday, September 27, 2012 - 1:05:25 PM

File

ICIAM.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00178854, version 1

Citation

Anne Siegel, Carito Guziolowski, Philippe Veber, Ovidiu Radulescu, Michel Le Borgne. Qualitative response of interaction networks: application to the validation of biological models. 6th International Congress on Industrial and Applied Mathematics. ICIAM 07, Jul 2007, Zurich, Switzerland. ⟨inria-00178854⟩

Share

Metrics

Record views

493

Files downloads

206