{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:21:18Z","timestamp":1766067678582},"reference-count":48,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"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":[[2022,12,6]]},"DOI":"10.1109\/bibm55620.2022.9995456","type":"proceedings-article","created":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T14:09:24Z","timestamp":1672668564000},"page":"3438-3445","source":"Crossref","is-referenced-by-count":6,"title":["Docking-based Multi-objective Molecular optimization Pipeline using Structure-constrained Genetic Algorithm"],"prefix":"10.1109","volume":"7","author":[{"given":"Yurim","family":"Lee","sequence":"first","affiliation":[{"name":"Sejong University,Department of Software,Seoul,Republic of Korea"}]},{"given":"Kyudam","family":"Choi","sequence":"additional","affiliation":[{"name":"Sejong University,Department of Software Convergence,Seoul,Republic of Korea"}]},{"given":"Cheongwon","family":"Kim","sequence":"additional","affiliation":[{"name":"Sejong University,Department of Software,Seoul,Republic of Korea"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Augmenting genetic algorithms with deep neural networks for exploring the chemical space","author":"nigam","year":"2019","journal-title":"arXiv preprint arXiv 1909 11324"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1186\/1758-2946-1-8"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1039\/D2DD00003B"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/nchem.1243"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1039\/C8SC05372C"},{"key":"ref37","article-title":"Rdkit: A software suite for cheminformatics, computational chemistry, and predictive modeling","author":"landrum","year":"2013","journal-title":"Greg Landrum"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1246\/cl.180665"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10822-020-00289-y"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281535"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1021\/jm9602928"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1126\/science.aat2663"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-017-15571-7","article-title":"Protein-ligand blind docking using quickvina-w with inter-process spatio-temporal integration","volume":"7","author":"hassan","year":"2017","journal-title":"Scientific Reports"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.9b00237"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1021\/ci970429i"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jmedchem.5b01746"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1039\/C9SC04503A"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-020-00431-w"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1021\/jm901137j"},{"key":"ref16","article-title":"Guiding deep molecular optimization with genetic exploration","author":"ahn","year":"2020","journal-title":"arXiv preprint arXiv 2007 09948"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ddtec.2004.11.007"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/BF00124408"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1039\/D1SC00231G"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-pchem.18"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1021\/ci100050t"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1088\/2632-2153\/aba947"},{"key":"ref45","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.0c00915"},{"article-title":"The PyMOL molecular graphics system, version 1.8","year":"2015","author":"schr\u00f6dinger","key":"ref48"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.1c00679"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1021\/ci200227u"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1021\/ci00057a005"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.0c01060"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1039\/C4OB02287D"},{"article-title":"Deepsmiles: An adaptation of smiles for use in machine-learning of chemical structures","year":"2018","author":"dalke","key":"ref22"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkl999"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-021-00501-7"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"5545","DOI":"10.1093\/bioinformatics\/btaa1005","article-title":"Deep-purpose: a deep learning library for drug-target interaction prediction","volume":"36","author":"huang","year":"2020","journal-title":"Bioinformatics"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/ijms222111635"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-021-00563-7"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.846817"},{"key":"ref8","first-page":"1263","article-title":"Neural message passing for quantum chemistry in","author":"gilmer","year":"2017","journal-title":"International Conference on Machine Learning"},{"key":"ref7","article-title":"Convolutional networks on graphs for learning molecular fingerprints","author":"duvenaud","year":"2015","journal-title":"arXiv preprint arXiv 1509 09292"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1021\/acscentsci.8b00507"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.0c01015"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1517\/17460441.2015.1041496"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1039\/C9SC01928F"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-021-00497-0"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1002\/cmdc.200700139"}],"event":{"name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2022,12,6]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2022,12,8]]}},"container-title":["2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9994793\/9994847\/09995456.pdf?arnumber=9995456","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T15:01:12Z","timestamp":1675090872000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9995456\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,6]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/bibm55620.2022.9995456","relation":{},"subject":[],"published":{"date-parts":[[2022,12,6]]}}}