Please use this identifier to cite or link to this item: https://doi.org/10.1142/S0219720012310014
Title: Modeling and analysis of biopathways dynamics
Authors: Liu, B. 
Thiagarajan, P.S. 
Keywords: model analysis
parameter estimation
pathway modeling
Systems biology
Issue Date: 2012
Source: Liu, B., Thiagarajan, P.S. (2012). Modeling and analysis of biopathways dynamics. Journal of Bioinformatics and Computational Biology 10 (4). ScholarBank@NUS Repository. https://doi.org/10.1142/S0219720012310014
Abstract: Cellular processes are governed and coordinated by a multitude of biopathways. A pathway can be viewed as a complex network of biochemical reactions. The dynamics of this network largely determines the functioning of the pathway. Hence the modeling and analysis of biochemical networks dynamics is an important problem and is an active area of research. Here we review quantitative models of biochemical networks based on ordinary differential equations (ODEs). We mainly focus on the parameter estimation and sensitivity analysis problems and survey the current methods for tackling them. In this context we also highlight a recently developed probabilistic approximation technique using which these two problems can be considerably simplified. © 2012 Imperial College Press.
Source Title: Journal of Bioinformatics and Computational Biology
URI: http://scholarbank.nus.edu.sg/handle/10635/39657
ISSN: 02197200
DOI: 10.1142/S0219720012310014
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