{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T05:13:56Z","timestamp":1775798036683,"version":"3.50.1"},"reference-count":35,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T00:00:00Z","timestamp":1596672000000},"content-version":"vor","delay-in-days":218,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["W911NF-17-1-0135"],"award-info":[{"award-number":["W911NF-17-1-0135"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>State-of-the-art machine reading methods extract, in hours, hundreds of thousands of events from the biomedical literature. However, many of the extracted biomolecular interactions are incorrect or not relevant for computational modeling of a system of interest. Therefore, rapid, automated methods are required to filter and select accurate and useful information. The FiLter for Understanding True Events (FLUTE) tool uses public protein interaction databases to filter interactions that have been extracted by machines from databases such as PubMed and score them for accuracy. Confidence in the interactions allows for rapid and accurate model assembly. As our results show, FLUTE can reliably determine the confidence in the biomolecular interactions extracted by fast machine readers and at the same time provide a speedup in interaction filtering by three orders of magnitude.<\/jats:p>\n               <jats:p>Database URL: https:\/\/bitbucket.org\/biodesignlab\/flute.<\/jats:p>","DOI":"10.1093\/database\/baaa056","type":"journal-article","created":{"date-parts":[[2020,8,4]],"date-time":"2020-08-04T19:16:59Z","timestamp":1596568619000},"source":"Crossref","is-referenced-by-count":19,"title":["FLUTE: Fast and reliable knowledge retrieval from biomedical literature"],"prefix":"10.1093","volume":"2020","author":[{"given":"Emilee","family":"Holtzapple","sequence":"first","affiliation":[{"name":"Department of Computational and Systems Biology, University of Pittsburgh, 3501 Fifth Ave, Pittsburgh, Pennsylvania 15213, USA"}]},{"given":"Cheryl A","family":"Telmer","sequence":"additional","affiliation":[{"name":"Molecular Biosensor and Imagining Center, Carnegie Mellon University, 4400 Fifth Ave, Pittsburgh, Pennsylvania 15213, USA"}]},{"given":"Natasa","family":"Miskov-Zivanov","sequence":"additional","affiliation":[{"name":"Department of Computational and Systems Biology, University of Pittsburgh, 3501 Fifth Ave, Pittsburgh, Pennsylvania 15213, USA"},{"name":"Department of Electrical and Computer Engineering, University of Pittsburgh, 3700 O\u2019Hara St, Pittsburgh, Pennsylvania 15261, USA"},{"name":"Department of Bioengineering, University of Pittsburgh, 300 Technology Dr, Pittsburgh 15213, USA"}]}],"member":"286","published-online":{"date-parts":[[2020,8,6]]},"reference":[{"key":"2020080606303605700_ref1","doi-asserted-by":"publisher","first-page":"i382","DOI":"10.1093\/bioinformatics\/btq180","article-title":"Complex event extraction at PubMed scale","volume":"26","author":"Bjorne","year":"2010","journal-title":"Bioinformatics"},{"key":"2020080606303605700_ref2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0055814","article-title":"Large-scale event extraction from literature with multi-level gene normalization","volume":"8","author":"Van Landeghem","year":"2013","journal-title":"PLoS One"},{"key":"2020080606303605700_ref3","doi-asserted-by":"publisher","first-page":"954","DOI":"10.15252\/msb.20177651","article-title":"From word models to executable models of signaling networks using automated assembly","volume":"13","author":"Gyori","year":"2017","journal-title":"Mol. 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