Mining protein networks for synthetic genetic interactions |
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Authors: | Sri R Paladugu Shan Zhao Animesh Ray Alpan Raval |
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Affiliation: | (1) Keck Graduate Institute of Applied Life Sciences, 535 Watson Drive, Claremont, CA 91711, USA;(2) Virtual Endoscopy and Computer-Aided Diagnosis Laboratory, Department of Radiology, National Institutes of Health Clinical Center, Bethesda, MD 20892-1182, USA;(3) School of Mathematical Sciences, Claremont Graduate University, 710 N. College Avenue, Claremont, CA 91711, USA |
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Abstract: | Background The local connectivity and global position of a protein in a protein interaction network are known to correlate with some of its functional properties, including its essentiality or dispensability. It is therefore of interest to extend this observation and examine whether network properties of two proteins considered simultaneously can determine their joint dispensability, i.e., their propensity for synthetic sick/lethal interaction. Accordingly, we examine the predictive power of protein interaction networks for synthetic genetic interaction in Saccharomyces cerevisiae, an organism in which high confidence protein interaction networks are available and synthetic sick/lethal gene pairs have been extensively identified. |
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