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Sci. STKE, 3 September 2002
Vol. 2002, Issue 148, p. pe38
[DOI: 10.1126/stke.2002.148.pe38]


Bayesian Network Approach to Cell Signaling Pathway Modeling

Karen Sachs1, David Gifford2, Tommi Jaakkola2, Peter Sorger1,3, and Douglas A. Lauffenburger1,3,4*

1Biological Engineering Division, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
2Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
3Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
4Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Abstract: 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.

*Corresponding author. 56-341 MIT, Cambridge, MA 02139. Telephone, 617-252-1629; fax, 617-258-0204; e-mail, lauffen{at}

Citation: K. Sachs, D. Gifford, T. Jaakkola, P. Sorger, D. A. Lauffenburger, Bayesian Network Approach to Cell Signaling Pathway Modeling. Sci. STKE 2002, pe38 (2002).

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