A Boolean Network Approach to Study the Mechanism Associated with Inflammatory Response Induced by Porphyromonas gingivalis [PDF]
Archives of Razi Institute, 2023 Anaerobic Porphyromonas gingivalis is a rod-shaped bacterium and is a primary agent of periodontal inflammation and thus periodontitis. This bacterium disturbs the normal flora of the oral cavity and causes dysbiosis.
A Gasmi Benahmed +3 more
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Concepts in Boolean network modeling: What do they all mean? [PDF]
Computational and Structural Biotechnology Journal, 2020 Boolean network models are one of the simplest models to study complex dynamic behavior in biological systems. They can be applied to unravel the mechanisms regulating the properties of the system or to identify promising intervention targets.
Julian D. Schwab +4 more
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Extended robust boolean network of budding yeast cell cycle [PDF]
Journal of Medical Signals and Sensors, 2020 Background: How to explore the dynamics of transition probabilities between phases of budding yeast cell cycle (BYCC) network based on the dynamics of protein activities that control this network?
Sajad Shafiekhani +3 more
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Therapeutic target discovery using Boolean network attractors: improvements of kali [PDF]
Royal Society Open Science, 2018 In a previous article, an algorithm for identifying therapeutic targets in Boolean networks modelling pathological mechanisms was introduced. In the present article, the improvements made on this algorithm, named kali, are described.
Arnaud Poret, Carito Guziolowski
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Random Networks with Quantum Boolean Functions
Mathematics, 2021 We propose quantum Boolean networks, which can be classified as deterministic reversible asynchronous Boolean networks. This model is based on the previously developed concept of quantum Boolean functions.
Mario Franco +3 more
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Synchronization of Boolean networks with chaos‐driving and its application in image cryptosystem
IET Image Processing, 2023 This paper proposes a Boolean network model with high dimensional chaos driving and investigates the synchronization of the chaos‐driven Boolean network with a semi‐tensor product.
Peng‐Fei Yan +4 more
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Cyclic Attractors Are Critical for Macrophage Differentiation, Heterogeneity, and Plasticity
Frontiers in Molecular Biosciences, 2022 Adaptability, heterogeneity, and plasticity are the hallmarks of macrophages. How these complex properties emerge from the molecular interactions is an open question. Thus, in this study we propose an actualized regulatory network of cytokines, signaling
Manuel Azaid Ordaz-Arias +7 more
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Analysis and practical guideline of constraint-based boolean method in genetic network inference. [PDF]
PLoS ONE, 2012 Boolean-based method, despite of its simplicity, would be a more attractive approach for inferring a network from high-throughput expression data if its effectiveness has not been limited by high false positive prediction.
Treenut Saithong +3 more
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An attractor-based complexity measurement for Boolean recurrent neural networks. [PDF]
PLoS ONE, 2014 We provide a novel refined attractor-based complexity measurement for Boolean recurrent neural networks that represents an assessment of their computational power in terms of the significance of their attractor dynamics.
Jérémie Cabessa, Alessandro E P Villa
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Quantum annealing algorithms for Boolean tensor networks
Scientific Reports, 2022 Quantum annealers manufactured by D-Wave Systems, Inc., are computational devices capable of finding high-quality heuristic solutions of NP-hard problems.
Elijah Pelofske +4 more
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