title: Semantically assessing the reliability of protein interactions.
abstract: Protein-protein interactions (PPIs) play very important roles in many cellular processes, and provide rich information for discovering biological facts and knowledge. Although various experimental approaches have been developed to generate large amounts of PPI data for different organisms, high-throughput experimental data usually suffers from high error rates, and as a consequence, the biological knowledge discovered from this data is distorted or incorrect. Therefore, it is vital to assess the quality of protein interaction data and extract reliable protein interactions from the high-throughput experimental data. In this paper, we propose a new Semantic Reliability (SR) method to assess the reliability of each protein interaction and identify potential false-positive protein interactions in a dataset. For each pair of target interacting proteins, the SR method takes into account the semantic influence between proteins that interact with the target proteins, and the semantic influence between the target proteins themselves when assessing the interaction reliability. Evaluations on real protein interaction datasets demonstrated that our method outperformed other existing methods in terms of extracting more reliable interactions from original protein interaction datasets.
authors.affiliation: School of Information Technology, Deakin University, Melbourne, Australia. Electronic address: jingyu@deakin.edu.au.
authors.forename: Jingyu
authors.initials: J
authors.lastname: Hou
authors.forename: Ashish
authors.initials: A
authors.lastname: Saini
mesh_terms: D019295:Computational Biology; D030562:Databases, Protein / Q000706:statistics & numerical data; D057166:High-Throughput Screening Assays / Q000706:statistics & numerical data; D015233:Models, Statistical; D060066:Protein Interaction Maps; D015203:Reproducibility of Results; D029701:Saccharomyces cerevisiae Proteins / Q000737:chemistry / Q000378:metabolism; D012660:Semantics
chemical_list: D029701:Saccharomyces cerevisiae Proteins
keywords: Protein–protein interaction; Reliability; Semantic approach