Results 11 to 20 of about 6,955,412 (269)
Therapeutic target discovery using Boolean network attractors: avoiding pathological phenotypes [PDF]
Comptes rendus. Biologies, 2014 Target identification, one of the steps of drug discovery, aims at identifying biomolecules whose function should be therapeutically altered in order to cure the considered pathology.
Boissel, Jean-Pierre, Poret, Arnaud
core +7 more sources
Boolean network model predicts knockout mutant phenotypes of fission yeast. [PDF]
PLoS ONE, 2013 Boolean networks (ornetworks of switches) are extremely simple mathematical models of biochemical signaling networks. Under certain circumstances, Boolean networks, despite their simplicity, are capable of predicting dynamical activation patterns of gene
Maria I Davidich, Stefan Bornholdt
doaj +2 more sources
PLoS ONE, 2015 Gene interactions in cells can be represented by gene regulatory networks. A Boolean network models gene interactions according to rules where gene expression is represented by binary values (on / off or {1, 0}). In reality, however, the gene's state can
Melanie Grieb +7 more
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A meta-analysis of Boolean network models reveals design principles of gene regulatory networks [PDF]
Science Advances, 2020 Gene regulatory networks (GRNs) play a central role in cellular decision-making. Understanding their structure and how it impacts their dynamics constitutes thus a fundamental biological question.
Claus Kadelka +5 more
semanticscholar +1 more source
Repository of logically consistent real-world Boolean network models
bioRxiv, 2023 Recent developments in both computational analysis and data-driven synthesis enable a new era of automated reasoning with logical models (Boolean networks in particular) in systems biology.
Samuel Pastva +4 more
semanticscholar +1 more source
A novel Boolean network inference strategy to model early hematopoiesis aging
Computational and Structural Biotechnology Journal, 2022 Graphical abstract From single cell RNA-seq (scRNA-seq) data and current knowledge in early hematopoiesis (literature and biological database investigation), 3 inputs were obtained to define the Boolean network synthesis of this process as a Boolean ...
L. Hérault +3 more
semanticscholar +1 more source
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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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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Bifurcations in Boolean Networks [PDF]
Discrete Mathematics & Theoretical Computer Science, 2011 This paper characterizes the attractor structure of synchronous and asynchronous Boolean networks induced by bi-threshold functions. Bi-threshold functions are generalizations of standard threshold functions and have separate threshold values for the transitions $0 \rightarrow $1 (up-threshold) and $1 \rightarrow 0$ (down-threshold).
Chris Kuhlman +3 more
openaire +5 more sources
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
doaj +1 more source