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Communication Dans Un Congrès Année : 2016

Qualitative Reasoning for Understanding the Behaviour of Complex Biomolecular Networks

Résumé

Understanding the dynamical behaviour of cellular systems requires the development of effective modelling techniques. The modeling aims to facilitate the study and understanding of the dynamic behaviour of these systems, by the simulation of their designed models. Complex biomolecular networks are the basis of these models. In this paper, we propose a method of qualitative reasoning, based on a formal logical modeling, to qualitatively simulate the biomolecular network and interpret it behaviour over time. The power of our approach is illustrated by applying it to the case study of the autoregulation of the bacteriophage T4 gene 32.

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Dates et versions

hal-02375271 , version 1 (21-11-2019)

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Ali Ayadi, Cecilia Zanni-Merk, Francois de Bertrand de Beuvron, Ana Fred, Jan Dietz, et al.. Qualitative Reasoning for Understanding the Behaviour of Complex Biomolecular Networks. 8th International Joint Conference on Knowledge Discovery Knowledge Engineering and Knowledge Management (IC3K 2016), Nov 2016, Porto, Portugal. pp.144-149, ⟨10.5220/0006065901440149⟩. ⟨hal-02375271⟩
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