Paper Info
Title
Predicing Yeast Synthetic Lethal Genetic Interactions Using Short Polypeptide Clusters
Abstract
Synthetic lethal genetic interactions (SLGI) among proteins have been widely used to define functional relationships between proteins and pathways. However, the molecular mechanism of synthetic lethal genetic interactions is still unclear. In this study we used the clusters of short polypeptide sequences, which are typically shorter than the classically defined protein domains, to characterize the functionalities of proteins. We developed a framework to identify significant short polypeptide clusters from yeast protein sequences. We then used these short polypeptide clusters as features to predict SLGIs. Both cross-validation and evaluation on experimental data sets showed that the short polypeptide clusters based approach is superior to the previous protein domain based approach. The short polypeptide clusters based approach provides significantly higher coverage for predicting SLGIs. Moreover, the short polypeptide clusters based approach produced less false positive predictions.
Year
DOI
Venue
2011
10.1109/BIBM.2011.21
BIBM
Keywords
Field
DocType
false positive prediction,short polypeptide sequence,short polypeptide cluster,yeast protein sequence,synthetic lethal genetic,short polypeptide clusters,experimental data set,protein domain,synthetic lethal genetic interaction,functional relationship,previous protein domain,predicing yeast,significant short polypeptide cluster,molecular mechanics,cross validation,false positive,protein sequence,genetics,molecular biophysics,microorganisms,protein domains,proteins
Cluster (physics),Protein domain,Biology,Yeast,Molecular biophysics,Bioinformatics
Conference
ISSN
Citations 
PageRank 
2156-1125
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Bo Li157845.93
Yuehua Zhang200.34
Pradip K. Srimani387996.11
Feng Luo428426.03