Computational modeling of the EGFR network elucidates control mechanisms regulating signal dynamics.

ABSTRACT:

Background

The epidermal growth factor receptor (EGFR) signaling pathway plays a key role in regulation of cellular growth and development. While highly studied, it is still not fully understood how the signal is orchestrated. One of the reasons for the complexity of this pathway is the extensive network of inter-connected components involved in the signaling. In the aim of identifying critical mechanisms controlling signal transduction we have performed extensive analysis of an executable model of the EGFR pathway using the stochastic pi-calculus as a modeling language.

Results

Our analysis, done through simulation of various perturbations, suggests that the EGFR pathway contains regions of functional redundancy in the upstream parts; in the event of low EGF stimulus or par

SUBMITTER: Wang DY 

PROVIDER: S-EPMC2807436 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature