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Title: Computational modeling of the EGFR network elucidates control mechanisms regulating signal dynamics.
Authors: Wang, D. Y.
Cardelli, L.
Phillips, A.
Piterman, N.
Fisher, J.
First Published: 22-Dec-2009
Publisher: BioMed Central
Citation: BMC Systems Biology, 2009, 3, pp. 118
Abstract: 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.
DOI Link: 10.1186/1752-0509-3-118
eISSN: 1752-0509
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2009 Wang et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Appears in Collections:Published Articles, Dept. of Computer Science

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