title: A reliability measure of protein-protein interactions and a reliability measure-based search engine.
abstract: Many methods developed for estimating the reliability of protein-protein interactions are based on the topology of protein-protein interaction networks. This paper describes a new reliability measure for protein-protein interactions, which does not rely on the topology of protein interaction networks, but expresses biological information on functional roles, sub-cellular localisations and protein classes as a scoring schema. The new measure is useful for filtering many spurious interactions, as well as for estimating the reliability of protein interaction data. In particular, the reliability measure can be used to search protein-protein interactions with the desired reliability in databases. The reliability-based search engine is available at http://yeast.hpid.org. We believe this is the first search engine for interacting proteins, which is made available to public. The search engine and the reliability measure of protein interactions should provide useful information for determining proteins to focus on.
authors: Department of Computer Science and Information Engineering, Inha University, Incheon, South Korea.
authors: Byungkyu
authors: B
authors: Park
authors: Kyungsook
authors: K
authors: Han
mesh_terms: D019295:Computational Biology; D030562:Databases, Protein / Q000706:statistics & numerical data; D025941:Protein Interaction Mapping / Q000706:statistics & numerical data*; D015203:Reproducibility of Results; D057386:Search Engine