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The role of network analysis in elucidating gene function and
Featured Campus Seminars| Speaker: | Alpan Raval, Keck Graduate Inst for Applied Biosciences |
| Location: | 1147 MSB |
| Start time: | Wed, Nov 29 2006, 4:10PM |
Description
Genes and proteins interact in many ways to form complex
networks that are amenable to graph-theoretic analyses. We show that the
protein-protein interaction network in yeast, while possessing a
power-law degree distribution, actually admits various "scales" that
enable one to identify different classes of proteins based on their
network properties alone. This classification further results in the
identification of functionally homogenous sub-networks and thus provides
clues towards predicting the function of unannotated proteins. We also
show that protein interaction network properties can be used to predict
synthetically lethal pairs of genes in yeast with reasonable accuracy.
Finally, we discuss how a combined analysis of seven putative predictors
of evolutionary rates of yeast genes, including two network properties,
reveals a single dominant predictor for evolutionary rate that is linked
to the number of translation events.