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Bayesian Network Approach to Cell Signaling Pathway Modeling

The modeling of cellular signaling pathways is an emerging field. Sachs et al. illustrate the application of Bayesian networks to an example cellular pathway involving the activation of focal adhesion kinase (FAK) and extracellular signal-regulated kinase (ERK) in response to fibronectin binding to an integrin. They describe how to use the analysis to select from among proposed models, formulate hypotheses regarding component interactions, and uncover potential dynamic changes in the interactions between these components. Although the data sets currently available for this example problem are too small to definitively point to a particular model, the approach and results provide a glimpse into the power that these methods will achieve once the technology for obtaining the necessary data becomes readily available.

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Classifications


Resource Type: Dataset, Diagram, Journal article/Issue, Review, Table
Audience Level: Undergraduate upper division 15-16, Graduate, Professional (degree program)

Author and Copyright


Authors and Editors: Karen Sachs of Biological Engineering Division, Massachusetts Institute of Technology, David Gifford of Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Tommi Jaakkola of Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Peter Sorger of Biological Engineering Division, Massachusetts Institute of Technology, Douglas A. Lauffenburger of Biological Engineering Division, Massachusetts Institute of Technology
Publisher: American Association for the Advancement of Science
Format: application/pdf, image/gif, image/jpeg, text/html
Copyright and other restrictions: Yes
Cost: Yes

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Collection:
STKE/Science Signaling


     
   

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