Speaker

:

Dr. Alpan Raval

Affiliation

:

Keck Graduate Institute
 

Subject Area

:

Mathematics

Venue

:

Lecture Hall I, Dept of Mathematics

Time

:

11.00 am

Date  

:

Tuesday, 25th July 2006

Event Title

:

Gene function prediction and evolutionary variability from  interactome analysis

Analysis of the properties of genome-scale biomolecular interaction networks, while of mathematical and physical interest in its own right, has helped elucidate a number of aspects of gene function in recent years. Here, we discuss three examples of gene function prediction in the budding yeast Saccharomyces cerevisiae from our research, two of which show how interactome analysis may be used to obtain insights into functional aspects of single genes and one of which describes the prediction of epistatic effects among pairs of genes. Finally, we show how a combined analysis of seven putative predictors of evolutionary rate variation in yeast genes, including interactome properties and expression measurements, reveals a single major underlying variable that explains 40-fold more variation in evolutionary rate than any other.