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Logical modeling and steady state analysis of serotonin signaling pathway

By: Pratichi Singh, J. Febin Prabhu Dass

Key Words: Logical Modeling, Matlab, Nervous system, Serotonin, Signalling pathway

Int. J. Biosci. 10(4), 27-40, April 2017

DOI: http://dx.doi.org/10.12692/ijb/10.4.27-40

Abstract

Brain serotonin seems to have distinctive actions contributing to impulsive behavior and anxiety. Patients with evidence of low serotonin levels show mild to moderate depression, which can lead to symptoms like anxiety, apathy, fear, feelings of worthlessness, insomnia and fatigue. The signaling pathway responsible for the action of serotonin was drawn using pathway modeling methods from the literature. It was then used as an input in CellNetAnalyzer (CNA) for logical analysis. CNA is a graphical user interface for MATLAB, providing a comprehensive toolbox for structural and functional analysis of different types of cellular networks. CNA has been programmed with the MATLAB language enabling to use inbuilt functions of MATLAB. The pathway was scrutinized using the various tools in CNA and the results obtained were compared with the results published in previous reports. The various analyses include interaction matrix, dependencies of various species on each other, logical steady state analysis. As a result, a major compound responsible for mood enhancement was identified as cAMP-response element-binding protein (CREB), a transcription factor that activates brain derived neurotropic factor (BDNF) genes responsible for the propagation of neurons.

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Logical modeling and steady state analysis of serotonin signaling pathway

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Pratichi Singh, J. Febin Prabhu Dass.
Logical modeling and steady state analysis of serotonin signaling pathway.
Int. J. Biosci. 10(4), 27-40, April 2017
http://www.innspub.net/ijb/logical-modeling-steady-state-analysis-serotonin-signaling-pathway/
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