Integration of topological measures for eliminating non-specific interactions in protein interaction networks
DISCRETE APPLIED MATHEMATICS, vol.157, no.10, pp.2416-2424, 2009 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 157 Issue: 10
- Publication Date: 2009
- Doi Number: 10.1016/j.dam.2008.06.034
- Journal Name: DISCRETE APPLIED MATHEMATICS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.2416-2424
- Middle East Technical University Affiliated: Yes
Abstract
High-throughput protein interaction assays aim to provide a comprehensive list of interactions that govern the biological processes in a cell. These large-scale sets of interactions, represented as protein-protein interaction networks, are often analyzed by computational methods for detailed biological interpretation. However, as a result of the tradeoff between speed and accuracy, the interactions reported by high-throughput techniques occasionally include non-specific (i.e., false-positive) interactions. Unfortunately, many computational methods are sensitive to noise in protein interaction networks; and therefore they are not able to make biologically accurate inferences.