AI Article Synopsis
- The paper enhances the modeling of biological regulatory networks by refining Rene Thomas's discrete approach, focusing on activation and inhibition delays.
- It employs linear hybrid automata to better specify which variables are impacted more rapidly by changes in their regulators.
- HyTech is utilized to automatically identify all paths between specified states and to create constraints on delay parameters for tracking specific pathways.
Article Abstract
In this paper, we propose a refinement of the modelling of biological regulatory networks based on the discrete approach of Rene Thomas. We refine and automatise the use of delays of activation/inhibition in order to specify which variable is more quickly affected by a change of its regulators. The formalism of linear hybrid automata is well suited to allow such refinement. We then use HyTech for two purposes: to find automatically all paths from a specified initial state to another one; to synthesise constraints on the delay parameters in order to follow any specific path.
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| http://dx.doi.org/10.1504/IJBRA.2008.019573 | DOI Listing |
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