{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T01:57:07Z","timestamp":1768010227983,"version":"3.49.0"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2018,3,1]],"date-time":"2018-03-01T00:00:00Z","timestamp":1519862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"Bio-Synergy Research","award":["NRF-2012M3A9C4048758"],"award-info":[{"award-number":["NRF-2012M3A9C4048758"]}]},{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Comput. Biol. and Bioinf."],"published-print":{"date-parts":[[2018,3,1]]},"DOI":"10.1109\/tcbb.2016.2535233","type":"journal-article","created":{"date-parts":[[2016,2,26]],"date-time":"2016-02-26T19:18:05Z","timestamp":1456514285000},"page":"432-440","source":"Crossref","is-referenced-by-count":41,"title":["Predicting the Absorption Potential of Chemical Compounds Through a Deep Learning Approach"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8882-305X","authenticated-orcid":false,"given":"Moonshik","family":"Shin","sequence":"first","affiliation":[]},{"given":"Donjin","family":"Jang","sequence":"additional","affiliation":[]},{"given":"Hojung","family":"Nam","sequence":"additional","affiliation":[]},{"given":"Kwang Hyung","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Doheon","family":"Lee","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/91201004"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1021\/ci00028a014"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1021\/ci6003515"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1021\/ci600343x"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1021\/jm000942e"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.addr.2012.09.019"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1021\/jm1008456"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1021\/jo001765s"},{"key":"ref35","article-title":"JOELib","author":"wegner","year":"2005"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/481455a"},{"key":"ref10","first-page":"186","article-title":"A new topological descriptors based model for predicting\n intestinal epithelial transport of drugs in Caco-2 cell culture","volume":"7","author":"ponce","year":"2004","journal-title":"J Pharm Pharm Sci"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpba.2006.06.022"},{"key":"ref11","first-page":"124","article-title":"Prediction of intestinal epithelial transport of drug in (Caco-2) cell culture\n from molecular structure using in silico approaches during early drug discovery","volume":"4","author":"ponce","year":"2005","journal-title":"Internet Electron J Mol Des"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep\n learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref14","first-page":"19","article-title":"Deep learning of representations for unsupervised and transfer\n learning","volume":"7","author":"bengio","year":"2012","journal-title":"Unsupervised and Transfer Learning Challenges in Machine Learning"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1021\/ed100697w"},{"key":"ref16","author":"jucker","year":"2002","journal-title":"Progress in Drug Research"},{"key":"ref17","first-page":"315","article-title":"Deep sparse\n rectifier neural networks","author":"glorot","year":"0","journal-title":"Proc 14th Int Conf Artif Intell Statist"},{"key":"ref18","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from\n overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1021\/ci00063a011"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1021\/jp980230o"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.addr.2012.09.005","article-title":"Caco-2\n monolayers in experimental and theoretical predictions of drug transport","volume":"64","author":"artursson","year":"2012","journal-title":"Adv Drug Del Rev"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1023\/A:1020444330011"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/minf.201000118"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1208\/s12248-008-9020-0"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1124\/dmd.32.1.132"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"2111","DOI":"10.1038\/nprot.2007.303","article-title":"Determination of drug permeability and prediction of drug absorption in Caco-2 monolayers","volume":"2","author":"hubatsch","year":"2007","journal-title":"Nature Protocols"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1208\/s12248-013-9456-8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkt978"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.ejps.2010.05.014","article-title":"Prediction of the in vitro permeability determined in Caco-2 cells by using artificial neural networks","volume":"41","author":"paix\u00e3o","year":"2010","journal-title":"Eur J Pharmaceutical Sci"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2014.10.005"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"1946","DOI":"10.1002\/jps.21122","article-title":"Estimation of ADME\n properties in drug discovery: Predicting Caco-2 cell permeability using atom-based stochastic and non-stochastic\n linear indices","volume":"97","author":"castillo-garit","year":"2008","journal-title":"J Pharmaceutical Sci"},{"key":"ref20","article-title":"&#x201C; In silico&#x201D; prediction of drug transport across\n physiological barriers","author":"suenderhauf","year":"2011","journal-title":"Ph D Dissertation"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1021\/ci960169p"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1021\/jm970811m"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10822-009-9261-8"},{"key":"ref23","first-page":"210","article-title":"Predicting Caco-2 permeability using support vector machine and chemistry development kit","volume":"9","author":"guangli","year":"2006","journal-title":"J Pharm Pharm Sci"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1021\/jm020017n"},{"key":"ref25","article-title":"CDK descriptor calculator GUI (v.1.4.6)","author":"guha","year":"0"}],"container-title":["IEEE\/ACM Transactions on Computational Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8857\/8329158\/07420679.pdf?arnumber=7420679","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T05:46:43Z","timestamp":1643176003000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7420679\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,1]]},"references-count":40,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tcbb.2016.2535233","relation":{},"ISSN":["1545-5963"],"issn-type":[{"value":"1545-5963","type":"print"}],"subject":[],"published":{"date-parts":[[2018,3,1]]}}}