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A Dynamics-based Approach for the Target Control of Boolean Networks

Published: 10 November 2020 Publication History

Abstract

We study the target control problem of asynchronous Boolean networks, to identify a set of nodes, the perturbation of which can drive the dynamics of the network from any initial state to the desired steady state (or attractor). We are particularly interested in temporary perturbations, which are applied for sufficient time and then released to retrieve the original dynamics. Temporary perturbations have the apparent advantage of averting unforeseen consequences, which might be induced by permanent perturbations. Despite the infamous state-space explosion problem, in this work, we develop an efficient method to compute the temporary target control for a given target attractor of a Boolean network. We apply our method to a number of real-life biological networks and compare its performance with the stable motif-based control method to demonstrate its efficacy and efficiency.

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  • (2023)Nonlinear control designs and their application to cancer differentiation therapyMathematical Biosciences10.1016/j.mbs.2023.109105366(109105)Online publication date: Dec-2023
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  • (2022)Target Control of Boolean Networks with Permanent Edgetic Perturbations2022 IEEE 61st Conference on Decision and Control (CDC)10.1109/CDC51059.2022.9992790(4236-4243)Online publication date: 6-Dec-2022
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  1. A Dynamics-based Approach for the Target Control of Boolean Networks

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    cover image ACM Conferences
    BCB '20: Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
    September 2020
    193 pages
    ISBN:9781450379649
    DOI:10.1145/3388440
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    Published: 10 November 2020

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    Author Tags

    1. Boolean networks
    2. attractors
    3. network control

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    • Universit� du Luxembourg
    • ANR-FNR

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    Cited By

    View all
    • (2023)Nonlinear control designs and their application to cancer differentiation therapyMathematical Biosciences10.1016/j.mbs.2023.109105366(109105)Online publication date: Dec-2023
    • (2023)Phenotype Control of Partially Specified Boolean NetworksComputational Methods in Systems Biology10.1007/978-3-031-42697-1_2(18-35)Online publication date: 9-Sep-2023
    • (2022)Target Control of Boolean Networks with Permanent Edgetic Perturbations2022 IEEE 61st Conference on Decision and Control (CDC)10.1109/CDC51059.2022.9992790(4236-4243)Online publication date: 6-Dec-2022
    • (2021)Parallel One-Step Control of Parametrised Boolean NetworksMathematics10.3390/math90505609:5(560)Online publication date: 6-Mar-2021
    • (2021)Target Control of Asynchronous Boolean NetworksIEEE/ACM Transactions on Computational Biology and Bioinformatics10.1109/TCBB.2021.3133608(1-1)Online publication date: 2021
    • (2021)Cabean 2.0: Efficient and Efficacious Control of Asynchronous Boolean NetworksFormal Methods10.1007/978-3-030-90870-6_31(581-598)Online publication date: 10-Nov-2021
    • (2020)On Attractor Detection and Optimal Control of Deterministic Generalized Asynchronous Random Boolean NetworksIEEE/ACM Transactions on Computational Biology and Bioinformatics10.1109/TCBB.2020.3043785(1-1)Online publication date: 2020

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