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.
Sachs
Karen
K
Biological Engineering Division, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Gifford
David
D
Jaakkola
Tommi
T
Sorger
Peter
P
Lauffenburger
Douglas A
DA
D001499:Bayes Theorem; D002450:Cell Communication; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D015398:Signal Transduction