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Article Dans Une Revue Journal of Theoretical Biology Année : 2009

Uncovering operational interactions in genetic networks using asynchronous Boolean dynamics

Résumé

Biological networks of large dimensions, with their diagram of interactions, are often well represented by a Boolean model with a family of logical rules. The state space of a Boolean model is finite, and its asynchronous dynamics are fully described by a transition graph in the state space. In this context, a model reduction method will be developed for identifying the active or operational interactions responsible for a given dynamic behaviour. The first step in this procedure is the decomposition of the asynchronous transition graph into its strongly connected components, to obtain a "reduced" and hierarchically organized graph of transitions. The second step consists of the identification of a partial graph of interactions and a sub-family of logical rules that remain operational in a given region of the state space. This model reduction method and its usefulness are illustrated by an application to a model of programmed cell death. The method identifies two mechanisms used by the cell to respond to death-receptor stimulation and decide between the survival or apoptotic pathways.
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Dates et versions

hal-00554625 , version 1 (11-01-2011)

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Citer

L. Tournier, M. Chavesa. Uncovering operational interactions in genetic networks using asynchronous Boolean dynamics. Journal of Theoretical Biology, 2009, 260 (2), pp.196. ⟨10.1016/j.jtbi.2009.06.006⟩. ⟨hal-00554625⟩
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