Modeling and analysis of the signaling crosstalk of PI3K, AMPK and MAPK with Timed Hybrid Petri Nets approach

• Published in: 2017 17th International Conference on Computational Science and Its Applications (ICCSA) pp. 1 - 7
• Main Authors: Bibi, Zurah, Ahmad, Jamil, Paracha, Rehan Zafar, Siddiqa, Amnah
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-07-2017
• Subjects: AMPK; Biochemistry; Biological system modeling; Crosstalk; Hybrid Petri Nets; Insulin; MAPK; Petri nets; PI3K; Sleep; Sugar
• DOI: 10.1109/ICCSA.2017.8000019

In living organisms, cellular functions are executed and controlled by gene regulatory networks. Malfunctioning of controlled regulation can lead to pathogenesis. Crosstalk in biological regulation has a significant impact on maintaining homeostasis within organisms. In this study, a timed Hybrid Petri Nets approach is used to model the biological regulatory network of the crosstalk of AMPK, PI3K and MAPK signaling networks to infer mode-switching and overall change in the network dynamics of cellular growth, energy expenditure and fuel metabolism. Simulations are performed to demonstrate the feedback interactions between these pathways and switches that drive changes in the cellular dynamics. Our results shows that during early sleep hours PI3K and MAPK pathways are active which is followed by the activation of AMPK in late sleep hours.