rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2010-1-18
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pubmed:abstractText |
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.
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pubmed:commentsCorrections |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:issn |
1752-0509
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
3
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
118
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pubmed:dateRevised |
2010-9-27
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pubmed:meshHeading |
pubmed-meshheading:20028552-Computational Biology,
pubmed-meshheading:20028552-Computer Simulation,
pubmed-meshheading:20028552-Epidermal Growth Factor,
pubmed-meshheading:20028552-Feedback, Physiological,
pubmed-meshheading:20028552-Gene Knockout Techniques,
pubmed-meshheading:20028552-Mitogen-Activated Protein Kinase Kinases,
pubmed-meshheading:20028552-Models, Biological,
pubmed-meshheading:20028552-Receptor, Epidermal Growth Factor,
pubmed-meshheading:20028552-Reproducibility of Results,
pubmed-meshheading:20028552-Signal Transduction,
pubmed-meshheading:20028552-Stochastic Processes,
pubmed-meshheading:20028552-raf Kinases,
pubmed-meshheading:20028552-ras Proteins
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pubmed:year |
2009
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pubmed:articleTitle |
Computational modeling of the EGFR network elucidates control mechanisms regulating signal dynamics.
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pubmed:affiliation |
MRC Biostatistics Unit, University of Cambridge, Cambridge, UK. dyqw2@cam.ac.uk
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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