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Springer, Lecture Notes in Computer Science, p. 267-282, 2003

DOI: 10.1007/3-540-36580-x_21

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Hybrid Modeling and Simulation of Genetic Regulatory Networks: A Qualitative Approach

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This paper is available in a repository.

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Abstract

The functioning and development of living organisms is controlled by large and complex networks of genes, proteins, small molecules, and their interactions, so-called genetic regulatory networks. The concerted efforts of genetics, molecular biology, biochemistry, and physiology have led to the accumulation of enormous amounts of data on the molecular components of genetic regulatory networks and their interactions. Notwithstanding the advances in the mapping of the network structure, surprisingly little is understood about how the dynamic behavior of the system emerges from the interactions between the network components. This has incited an increasingly large group of researchers to turn from the structure to the behavior of genetic regulatory networks, against the background of a broader movement nowadays often referred to as systems biology