Integration of topological measures for eliminating non-specific interactions in protein interaction networks

BAYIR M. A., GUNEY T. D., Can T.

DISCRETE APPLIED MATHEMATICS, vol.157, no.10, pp.2416-2424, 2009 (SCI-Expanded) identifier identifier

  • 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.