{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T14:24:47Z","timestamp":1759587887380,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T00:00:00Z","timestamp":1634083200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T00:00:00Z","timestamp":1634083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T00:00:00Z","timestamp":1634083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,13]]},"DOI":"10.1109\/cibcb49929.2021.9562949","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T04:00:25Z","timestamp":1634702425000},"page":"01-09","source":"Crossref","is-referenced-by-count":2,"title":["Adversarial Deep Evolutionary Learning for Drug Design"],"prefix":"10.1109","author":[{"given":"Sheriff","family":"Abouchekeir","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alain","family":"Tchagang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Adver-sarial autoencoders","author":"makhzani","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1039\/C9ME00039A"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/9783527816880"},{"journal-title":"Applied Chemoinformatics Achievements and Future Opportunities","year":"2018","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1021\/acscentsci.7b00572"},{"key":"ref15","first-page":"2323","article-title":"Junction tree variational autoen-coder for molecular graph generation","author":"jin","year":"2018","journal-title":"ICML"},{"journal-title":"Deep evolutionary learning for molecular design","year":"2020","author":"li","key":"ref16"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"hocheriter","year":"1997","journal-title":"Neural Computation"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/aic.690370209"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1021\/acs.molpharmaceut.7b00346"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nrd3078"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.2140\/astat.2021.12.43"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10822-013-9672-4"},{"key":"ref6","article-title":"One-shot generalization in deep generative models","volume":"3","author":"jimenez rezende","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhealeco.2016.01.012"},{"key":"ref8","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/323533a0","article-title":"Learning representations by back-propagating errors","volume":"323","author":"williams","year":"1986","journal-title":"Nature"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.drudis.2015.09.007"},{"key":"ref9","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1126\/scitranslmed.3002273"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1039\/C8SC04175J"},{"journal-title":"RDKit Open-source cheminformatics","year":"2006","author":"landrum","key":"ref22"},{"key":"ref21","first-page":"2240","article-title":"A deep generative model for fragment-based molecule generation","author":"podda","year":"0","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1021\/ci049714+"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkx1037"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2020.565644"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"955d","DOI":"10.1093\/nar\/gkw1118","article-title":"PubChem BioAssay: 2017 update","volume":"45","author":"wang","year":"2017","journal-title":"Nucleic Acids Research"}],"event":{"name":"2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","start":{"date-parts":[[2021,10,13]]},"location":"Melbourne, Australia","end":{"date-parts":[[2021,10,15]]}},"container-title":["2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9562742\/9562772\/09562949.pdf?arnumber=9562949","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:47:24Z","timestamp":1652197644000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9562949\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,13]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/cibcb49929.2021.9562949","relation":{},"subject":[],"published":{"date-parts":[[2021,10,13]]}}}