{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T15:40:30Z","timestamp":1778254830535,"version":"3.51.4"},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2016,9,7]],"date-time":"2016-09-07T00:00:00Z","timestamp":1473206400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"funder":[{"DOI":"10.13039\/501100004564","name":"Ministry of Education, Science and Technological Development of the Republic of Serbia","doi-asserted-by":"crossref","award":["ON173001"],"award-info":[{"award-number":["ON173001"]}],"id":[{"id":"10.13039\/501100004564","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,1,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>The TRI_tool, a sequence-based web tool for prediction of protein interactions in the human transcriptional regulation, is intended for biomedical investigators who work on understanding the regulation of gene expression. It has an improved predictive performance due to the training on updated, human specific, experimentally validated datasets. The TRI_tool is designed to test up to 100 potential interactions with no time delay and to report both probabilities and binarized predictions.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and Implementation<\/jats:title>\n                  <jats:p>http:\/\/www.vin.bg.ac.rs\/180\/tools\/tfpred.php.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btw590","type":"journal-article","created":{"date-parts":[[2016,9,8]],"date-time":"2016-09-08T00:39:31Z","timestamp":1473295171000},"page":"289-291","source":"Crossref","is-referenced-by-count":17,"title":["TRI_tool: a web-tool for prediction of protein\u2013protein interactions in human transcriptional regulation"],"prefix":"10.1093","volume":"33","author":[{"given":"Vladimir","family":"Perovic","sequence":"first","affiliation":[{"name":"Centre for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Neven","family":"Sumonja","sequence":"additional","affiliation":[{"name":"Centre for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Branislava","family":"Gemovic","sequence":"additional","affiliation":[{"name":"Centre for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eneda","family":"Toska","sequence":"additional","affiliation":[{"name":"Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan G","family":"Roberts","sequence":"additional","affiliation":[{"name":"Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nevena","family":"Veljkovic","sequence":"additional","affiliation":[{"name":"Centre for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2016,9,7]]},"reference":[{"key":"2023020204312463600_btw590-B1","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1002\/prot.1035","article-title":"Prediction of protein cellular attributes using pseudo-amino acid composition","volume":"43","author":"Chou","year":"2001","journal-title":"Proteins"},{"key":"2023020204312463600_btw590-B2","doi-asserted-by":"crossref","first-page":"3025","DOI":"10.1093\/nar\/gkn159","article-title":"Using support vector machine combined with auto covariance to predict protein\u2013protein interactions from protein sequences","volume":"36","author":"Guo","year":"2008","journal-title":"Nucleic Acids Res"},{"key":"2023020204312463600_btw590-B3","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1038\/nrc3002","article-title":"Wilms\u2019 tumours: about tumour suppressor genes, an oncogene and a chameleon gene","volume":"11","author":"Huff","year":"2011","journal-title":"Nat. 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