{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T04:23:52Z","timestamp":1781756632770,"version":"3.54.5"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"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":["2020YFA0712403"],"award-info":[{"award-number":["2020YFA0712403"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11631012"],"award-info":[{"award-number":["11631012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61932008"],"award-info":[{"award-number":["61932008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772368"],"award-info":[{"award-number":["61772368"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2018SHZDZX01"],"award-info":[{"award-number":["2018SHZDZX01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2022,12,1]]},"DOI":"10.1109\/tpami.2021.3120428","type":"journal-article","created":{"date-parts":[[2021,10,16]],"date-time":"2021-10-16T00:02:43Z","timestamp":1634342563000},"page":"8861-8873","source":"Crossref","is-referenced-by-count":72,"title":["Co-VAE: Drug-Target Binding Affinity Prediction by Co-Regularized Variational Autoencoders"],"prefix":"10.1109","volume":"44","author":[{"given":"Tianjiao","family":"Li","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4531-3970","authenticated-orcid":false,"given":"Xing-Ming","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3572-6832","authenticated-orcid":false,"given":"Limin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3107411.3107424"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1021\/acs.molpharmaceut.7b00346"},{"key":"ref32","first-page":"2672","article-title":"Generative adversarial networks","volume":"3","author":"goodfellow","year":"2014","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"ref30","author":"landrum","year":"2016","journal-title":"Rdkit Open-source cheminformatics software"},{"key":"ref37","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","article-title":"Objective-reinforced generative adversarial networks (organ) for sequence generation models","author":"guimaraes","year":"2017"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-017-0235-x"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10804"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-017-0209-z"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1093\/bioinformatics\/bty593","article-title":"DeepDTA: Deep drug&#x2013;target binding affinity prediction","volume":"34","author":"\u00f6zt\u00fcrk","year":"2018","journal-title":"Bioinformatics"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz111"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa921"},{"key":"ref14","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2013"},{"key":"ref15","first-page":"700","article-title":"Unsupervised image-to-image translation networks","author":"liu","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.361"},{"key":"ref17","article-title":"Generating sentences from a continuous space","author":"bowman","year":"2015"},{"key":"ref18","first-page":"933","article-title":"Language modeling with gated convolutional networks","author":"dauphin","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-0427(00)00393-9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btp433"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/0022-247X(71)90184-3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1021\/ci020267c"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btn273"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/92.4.965"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm204"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btn162"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btn409"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm266"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbu010"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/msb.2011.5"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.1990"},{"key":"ref22","first-page":"255","article-title":"Convolutional networks for images, speech, and time series","author":"lecun","year":"1995","journal-title":"The Handbook of Brain Theory and Neural Networks"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1021\/ci400709d"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539957"},{"key":"ref23","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1186\/1752-0509-4-S2-S6"},{"key":"ref25","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"hinton","year":"2012"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9940447\/09576631.pdf?arnumber=9576631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T23:13:34Z","timestamp":1670282014000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9576631\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,1]]},"references-count":38,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2021.3120428","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,1]]}}}