{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T22:03:21Z","timestamp":1764194601134,"version":"3.37.3"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&#x0026;D Program of China","award":["2020YFB0204803"],"award-info":[{"award-number":["2020YFB0204803"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1611261","61772566","81801132"],"award-info":[{"award-number":["U1611261","61772566","81801132"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Frontier &#x0026; Key Tech Innovation Program","award":["2018B010109006","2019B020228001"],"award-info":[{"award-number":["2018B010109006","2019B020228001"]}]},{"name":"Introducing Innovative and Entrepreneurial Teams","award":["2016ZT06D211"],"award-info":[{"award-number":["2016ZT06D211"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Comput. Biol. and Bioinf."],"published-print":{"date-parts":[[2022,11,1]]},"DOI":"10.1109\/tcbb.2021.3118916","type":"journal-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T02:00:16Z","timestamp":1634090416000},"page":"3735-3743","source":"Crossref","is-referenced-by-count":18,"title":["To Improve Prediction of Binding Residues With DNA, RNA, Carbohydrate, and Peptide Via Multi-Task Deep Neural Networks"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1979-9508","authenticated-orcid":false,"given":"Zhe","family":"Sun","sequence":"first","affiliation":[{"name":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9747-4285","authenticated-orcid":false,"given":"Shuangjia","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, Guangdong, China"}]},{"given":"Huiying","family":"Zhao","sequence":"additional","affiliation":[{"name":"Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7009-946X","authenticated-orcid":false,"given":"Zhangming","family":"Niu","sequence":"additional","affiliation":[{"name":"Aladdin Healthcare Technologies Ltd., London, U.K."}]},{"given":"Yutong","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, Guangdong, China"}]},{"given":"Yi","family":"Pan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Georgia State University, Atlanta, GA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6782-2813","authenticated-orcid":false,"given":"Yuedong","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, Guangdong, China"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.0c01416"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"2210","DOI":"10.1002\/jcc.25534","article-title":"Single-sequence-based prediction of protein secondarystructures and solvent accessibility by deep whole-sequence learning","volume":"39","author":"paliwal","year":"2018","journal-title":"J Comput Chem"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/25.17.3389"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.1818"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-0152-y"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-021-00488-1"},{"key":"ref35","first-page":"606","article-title":"Attention-based LSTM for Aspect-level sentiment classification","author":"yequan wang","year":"2016","journal-title":"Proc Conf Empirical Methods Nat Lang Process"},{"key":"ref34","article-title":"Bidirectional LSTM-CRF models for sequence tagging","author":"zhiheng huang","year":"2015","journal-title":"Comput Lang"},{"key":"ref10","article-title":"DRNApred, fast sequence-based method that accurately predicts and discriminates DNA- and RNA-binding residues","volume":"45","author":"kurgan","year":"2017","journal-title":"Nucleic Acids Res"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0096694"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-017-1879-2"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-016-1110-x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq253"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1039\/c2mb25292a"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty756"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.6b00320"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/prot.10612"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.8b00777"},{"key":"ref28","article-title":"PROCARB: A database of known and modelled carbohydrate-binding protein structures with sequence-based prediction tools","volume":"2010","author":"malik","year":"2010","journal-title":"Bioinformatics"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.copbio.2008.06.004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/jcc.23730"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/17460441.2019.1573813"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1186\/1752-0509-4-S1-S3"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/jcc.24314"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.str.2009.11.012"},{"key":"ref8","article-title":"HMMBinder: DNA-binding protein prediction using HMM profile based features","volume":"2017","author":"rianon zaman","year":"2017","journal-title":"Biomed Res Int"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2016.2616469"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nrg3813"},{"key":"ref9","article-title":"CNNsite: Prediction of DNA-binding residues in proteins using convolutional neural network with sequence features","author":"zhou","year":"2016","journal-title":"Inform Sci"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nrm.2017.130"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0028440"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkv446"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1186\/1477-5956-10-S1-S20"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkn201"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw730"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gks966"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkx059"}],"container-title":["IEEE\/ACM Transactions on Computational Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8857\/9976468\/09568737.pdf?arnumber=9568737","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T20:30:33Z","timestamp":1722457833000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9568737\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,1]]},"references-count":38,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tcbb.2021.3118916","relation":{},"ISSN":["1545-5963","1557-9964","2374-0043"],"issn-type":[{"type":"print","value":"1545-5963"},{"type":"electronic","value":"1557-9964"},{"type":"electronic","value":"2374-0043"}],"subject":[],"published":{"date-parts":[[2022,11,1]]}}}