Sequential Reprogramming of Biological Network Fate

Abstract : A major challenge in precision medicine consists in finding the appropriate network rewiring to induce a particular reprogramming of the cell phenotype. The rewiring is caused by specific network action either inhibiting or over-expressing targeted molecules. In some cases, a therapy abides by a time-scheduled drug administration protocol. Furthermore, some diseases are induced by a sequence of mutations leading to a sequence of actions on molecules. In this paper, we extend previous works on abductive-based inference of network reprogramming [3] by investigating the sequential control of Boolean networks. We present a novel theoretical framework and give an upper bound on the size of control sequences as a function of the number of observed variables. We also define an algorithm for inferring minimal parsimonious control sequences allowing to reach a final state satisfying a particular phenotypic property.
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Contributor : Frédéric Davesne <>
Submitted on : Sunday, December 1, 2019 - 3:05:25 PM
Last modification on : Tuesday, December 3, 2019 - 1:19:09 AM

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Jérémie Pardo, Sergiu Ivanov, Franck Delaplace. Sequential Reprogramming of Biological Network Fate. 17th International Conference on Computational Methods in Systems Biology (CMSB 2019), Sep 2019, Trieste, Italy. pp.20--41, ⟨10.1007/978-3-030-31304-3_2⟩. ⟨hal-02388236⟩

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