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Issue 10, 2016
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Estimation of delays in generalized asynchronous Boolean networks

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Abstract

A new generalized asynchronous Boolean network (GABN) model has been proposed in this paper. This continuous-time discrete-state model captures the biological reality of cellular dynamics without compromising the computational efficiency of the Boolean framework. The GABN synthesis procedure is based on the prior knowledge of the logical structure of the regulatory network, and the experimental transcriptional parameters. The novelty of the proposed methodology lies in considering different delays associated with the activation and deactivation of a particular protein (especially the transcription factors). A few illustrative examples of some well-studied network motifs have been provided to explore the scope of using the GABN model for larger networks. The GABN model of the p53-signaling pathway in response to γ-irradiation has also been simulated in the current paper to provide an indirect validation of the proposed schema.

Graphical abstract: Estimation of delays in generalized asynchronous Boolean networks

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Supplementary files

Article information


Submitted
11 Apr 2016
Accepted
18 Jul 2016
First published
19 Jul 2016

Mol. BioSyst., 2016,12, 3098-3110
Article type
Paper

Estimation of delays in generalized asynchronous Boolean networks

H. Das and R. K. Layek, Mol. BioSyst., 2016, 12, 3098
DOI: 10.1039/C6MB00276E

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