title: PIE the search: searching PubMed literature for protein interaction information.
abstract: BACKGROUND
  Finding protein-protein interaction (PPI) information from literature is challenging but an important issue. However, keyword search in PubMed(®) is often time consuming because it requires a series of actions that refine keywords and browse search results until it reaches a goal. Due to the rapid growth of biomedical literature, it has become more difficult for biologists and curators to locate PPI information quickly. Therefore, a tool for prioritizing PPI informative articles can be a useful assistant for finding this PPI-relevant information.
  
  
  RESULTS
  PIE (Protein Interaction information Extraction) the search is a web service implementing a competition-winning approach utilizing word and syntactic analyses by machine learning techniques. For easy user access, PIE the search provides a PubMed-like search environment, but the output is the list of articles prioritized by PPI confidence scores. By obtaining PPI-related articles at high rank, researchers can more easily find the up-to-date PPI information, which cannot be found in manually curated PPI databases.
  
  
  BACKGROUND
  http://www.ncbi.nlm.nih.gov/IRET/PIE/.
authors.affiliation: National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA. sun.kim@nih.gov
authors.forename: Sun
authors.initials: S
authors.lastname: Kim
authors.forename: Dongseop
authors.initials: D
authors.lastname: Kwon
authors.forename: Soo-Yong
authors.initials: SY
authors.lastname: Shin
authors.forename: W John
authors.initials: WJ
authors.lastname: Wilbur
mesh_terms: D001185:Artificial Intelligence; D025941:Protein Interaction Mapping; D011506:Proteins / Q000378:metabolism*; D039781:PubMed
chemical_list: D011506:Proteins