The data-based mathematical modeling and parameter identification in JAK-STAT signaling pathway by using a hybrid evolutionary algorithm

Authors:
Wei Zhang;Xiufen Zou
Affiliations:
School of Mathematics and Statistics, Wuhan University, Wuhan, China;School of Mathematics and Statistics, Wuhan University, Wuhan, China
Venue:
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
Year:
2010

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Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces

Journal of Global Optimization

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Abstract

Based on the published quantitative measurements of EPO receptor and STAT5 phosphorylation in JAK-STAT signaling pathway [1], we build an improved mathematical model and use a hybrid evolutionary algorithm to optimize all rate constants. Numerical results demonstrate that our model is well fit to the measured data and can use to predict the dynamical behavior of the JAKSTAT signaling pathway.