The Data-Based Mathematical Modeling and Parameter Identification in JAK-STAT Signaling Pathway by Using a Hybrid Evolutionary Algorithm

摘要

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 JAK-STAT signaling pathway.