Mathematical Modeling of Cell Signalling Pathways

author: Julio Vera González, Institute of Computer Science, Systems Biology and Bioinformatics Group - University of Rostock
published: Nov. 6, 2007,   recorded: September 2007,   views: 2721
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Description

In recent years, the analysis of cell signalling systems through data-based models in ordinary differential equations (ODE) or other paradigms (e.g. stochastic models) has emerged as an invaluable tool to understand the underlying complexity of the protein interactions happening in cellular signal transduction. Compared with other biochemical systems, the modelling of cell signalling systems faces additional difficulties related to the challenges quantifying protein-protein processes but also to the lack of complete information about the topology of the considered network interactions. Since in most of the metabolic systems the complete network of interactions is (virtually) perfectly established, in cell signalling systems the real structure of the pathways is an open question to be elucidated either in parallel or through mathematical modelling based analysis. In this talk we discuss the use of power-law models (advantages and challenges) in biochemical systems. We also show how pre-existent biological knowledge and quantitative data can be integrated through mathematical modelling to validate hypothesis about the structure of signalling pathways.

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Reviews and comments:

Comment1 Julio Vera, April 24, 2008 at 9:46 a.m.:

Additional information about power-law models can be found in the webpage:

www.powerlawmodels.org

You can have a good initial idea about power-law models in this paper:
Power-Law Models of Signal Transduction Pathways (2007) J. Vera, E. Balsa-Canto, P. Wellstead, J.R. Banga, O. Wolkenhauer. Cell Signalling 19:1531-1541
doi: 10.1016/j.cellsig.2007.01.029

The following books are totally dedicated to power-law models and can be purchased:

Computational Analysis of Biochemical Systems. A Practical Guide for Biochemists and Molecular Biologists (Voit, E.O., 2000. Cambridge University Press, Cambridge, U.K.). This books is an updated introduction to power-law models and their application in biotechnology and biomedicine.

Pathway Analysis and Optimization in Metabolic Engineering (Torres, N.V., and E.O. Voit 2002. Cambridge University Press, Cambridge, U.K.). This book is an introduction to metabolic engineering and applied biotechnology using power-law models.


Comment2 ameneh, April 11, 2010 at 9:29 a.m.:

Hello and thanks for your help.I need it for tomorrow morning.

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