{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T00:59:50Z","timestamp":1778806790285,"version":"3.51.4"},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2016,10,2]],"date-time":"2016-10-02T00:00:00Z","timestamp":1475366400000},"content-version":"vor","delay-in-days":1746,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/3.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,2,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Finding protein-protein interaction (PPI) information from literature is challenging but an important issue. However, keyword search in PubMed\u00ae 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.<\/jats:p>\n               <jats:p>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.<\/jats:p>\n               <jats:p>Availability: \u00a0http:\/\/www.ncbi.nlm.nih.gov\/IRET\/PIE\/<\/jats:p>\n               <jats:p>Contact: \u00a0sun.kim@nih.gov<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btr702","type":"journal-article","created":{"date-parts":[[2011,12,24]],"date-time":"2011-12-24T02:37:52Z","timestamp":1324694272000},"page":"597-598","source":"Crossref","is-referenced-by-count":29,"title":["PIE <i>the search<\/i>: searching PubMed literature for protein interaction information"],"prefix":"10.1093","volume":"28","author":[{"given":"Sun","family":"Kim","sequence":"first","affiliation":[{"name":"1 National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA, 2Department of Computer Engineering, Myongji University, Gyeonggi-do 449-728 and 3Department of Clinical Epidemiology and Biostatistics, Asan Medical Center; University of Ulsan College of Medicine, Seoul 135-798, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongseop","family":"Kwon","sequence":"additional","affiliation":[{"name":"1 National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA, 2Department of Computer Engineering, Myongji University, Gyeonggi-do 449-728 and 3Department of Clinical Epidemiology and Biostatistics, Asan Medical Center; University of Ulsan College of Medicine, Seoul 135-798, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soo-Yong","family":"Shin","sequence":"additional","affiliation":[{"name":"1 National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA, 2Department of Computer Engineering, Myongji University, Gyeonggi-do 449-728 and 3Department of Clinical Epidemiology and Biostatistics, Asan Medical Center; University of Ulsan College of Medicine, Seoul 135-798, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"W. John","family":"Wilbur","sequence":"additional","affiliation":[{"name":"1 National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA, 2Department of Computer Engineering, Myongji University, Gyeonggi-do 449-728 and 3Department of Clinical Epidemiology and Biostatistics, Asan Medical Center; University of Ulsan College of Medicine, Seoul 135-798, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2011,12,22]]},"reference":[{"issue":"Suppl. 1","key":"2023012512193370000_B1","doi-asserted-by":"crossref","first-page":"S16","DOI":"10.1186\/1471-2105-6-S1-S16","article-title":"Evaluation of BioCreAtIvE assessment of task 2","volume":"6","author":"Blaschke","year":"2005","journal-title":"BMC Bioinfomratics"},{"key":"2023012512193370000_B2","doi-asserted-by":"crossref","first-page":"bap019","DOI":"10.1093\/database\/bap019","article-title":"Integrating text mining into the MGI biocuration workflow","volume":"2009","author":"Dowell","year":"2009","journal-title":"Database"},{"issue":"Suppl. 8","key":"2023012512193370000_B3","doi-asserted-by":"crossref","first-page":"S9","DOI":"10.1186\/1471-2105-12-S8-S9","article-title":"Classifying protein-protein interaction articles using word and syntactic features","volume":"12","author":"Kim","year":"2011","journal-title":"BMC Bioinfomratics"},{"key":"2023012512193370000_B4","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1111\/j.1749-6632.2008.03750.x","article-title":"Creating reference datasets for systems biology applications using text mining","volume":"1158","author":"Krallinger","year":"2009","journal-title":"Ann. 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