{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:12:47Z","timestamp":1743138767011,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030487904"},{"type":"electronic","value":"9783030487911"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-48791-1_25","type":"book-chapter","created":{"date-parts":[[2020,5,27]],"date-time":"2020-05-27T14:02:52Z","timestamp":1590588172000},"page":"326-337","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Drug2vec: A Drug Embedding Method with Drug-Drug Interaction as the Context"],"prefix":"10.1007","author":[{"given":"Pengfei","family":"Liu","sequence":"first","affiliation":[]},{"given":"Xubin","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Man-Hon","family":"Wong","sequence":"additional","affiliation":[]},{"given":"Kwong-Sak","family":"Leung","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,28]]},"reference":[{"issue":"11","key":"25_CR1","doi-asserted-by":"publisher","first-page":"e0141287","DOI":"10.1371\/journal.pone.0141287","volume":"10","author":"E Asgari","year":"2015","unstructured":"Asgari, E., Mofrad, M.R.: Continuous distributed representation of biological sequences for deep proteomics and genomics. PloS one 10(11), e0141287 (2015)","journal-title":"PloS one"},{"issue":"1","key":"25_CR2","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1021\/acs.jcim.7b00616","volume":"58","author":"S Jaeger","year":"2018","unstructured":"Jaeger, S., Fulle, S., Turk, S.: Mol2vec: unsupervised machine learning approach with chemical intuition. J. Chem. Inf. Model. 58(1), 27\u201335 (2018)","journal-title":"J. Chem. Inf. Model."},{"key":"25_CR3","doi-asserted-by":"publisher","first-page":"4979","DOI":"10.1093\/bioinformatics\/btz307","volume":"35","author":"W Jeon","year":"2019","unstructured":"Jeon, W., Kim, D.: FP2VEC: a new molecular featurizer for learning molecular properties. Bioinformatics 35, 4979\u20134985 (2019)","journal-title":"Bioinformatics"},{"issue":"D1","key":"25_CR4","doi-asserted-by":"publisher","first-page":"D1202","DOI":"10.1093\/nar\/gkv951","volume":"44","author":"S Kim","year":"2015","unstructured":"Kim, S., Thiessen, P.A., Bolton, E.E., Chen, J., Fu, G., Gindulyte, A., Han, L., He, J., He, S., Shoemaker, B.A., et al.: Pubchem substance and compound databases. Nucleic Acids Res. 44(D1), D1202\u2013D1213 (2015)","journal-title":"Nucleic Acids Res."},{"key":"25_CR5","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111\u20133119 (2013)"},{"key":"25_CR6","unstructured":"Ramachandran, P., Zoph, B., Le, Q.V.: Searching for activation functions. arXiv preprint \narXiv:1710.05941\n\n (2017)"},{"issue":"18","key":"25_CR7","doi-asserted-by":"publisher","first-page":"E4304","DOI":"10.1073\/pnas.1803294115","volume":"115","author":"JY Ryu","year":"2018","unstructured":"Ryu, J.Y., Kim, H.U., Lee, S.Y.: Deep learning improves prediction of drug-drug and drug-food interactions. Proc. Nat. Acad. Sci. 115(18), E4304\u2013E4311 (2018)","journal-title":"Proc. Nat. Acad. Sci."},{"issue":"4","key":"25_CR8","doi-asserted-by":"publisher","first-page":"e51","DOI":"10.2196\/medinform.9170","volume":"5","author":"AP Tafti","year":"2017","unstructured":"Tafti, A.P., Badger, J., LaRose, E., Shirzadi, E., Mahnke, A., Mayer, J., Ye, Z., Page, D., Peissig, P.: Adverse drug event discovery using biomedical literature: a big data neural network adventure. JMIR Med. Inform. 5(4), e51 (2017)","journal-title":"JMIR Med. Inform."},{"issue":"125","key":"25_CR9","doi-asserted-by":"publisher","first-page":"12ra31","DOI":"10.1126\/scitranslmed.3003377","volume":"4","author":"NP Tatonetti","year":"2012","unstructured":"Tatonetti, N.P., Patrick, P.Y., Daneshjou, R., Altman, R.B.: Data-driven prediction of drug effects and interactions. Sci. Transl. Med. 4(125), 12ra31\u201312ra31 (2012)","journal-title":"Sci. Transl. Med."},{"key":"25_CR10","unstructured":"Wang, C., Singh, O., Dai, H., Jonnagaddala, J., Jue, T.R., Iqbal, U., Su, E., Abdul, S.S., Li, J.: NTTMUNSW system for adverse drug reactions extraction in Twitter data. In: Proceedings of the Social Media Mining Shared Task Workshop at the Pacific Symposium on Biocomputing, pp. 4\u20138 (2016)"},{"issue":"D1","key":"25_CR11","doi-asserted-by":"publisher","first-page":"D1074","DOI":"10.1093\/nar\/gkx1037","volume":"46","author":"DS Wishart","year":"2017","unstructured":"Wishart, D.S., Feunang, Y.D., Guo, A.C., Lo, E.J., Marcu, A., Grant, J.R., Sajed, T., Johnson, D., Li, C., Sayeeda, Z., et al.: Drugbank 5.0: a major update to the drugbank database for 2018. Nucleic Acids Res. 46(D1), D1074\u2013D1082 (2017)","journal-title":"Nucleic Acids Res."},{"issue":"1","key":"25_CR12","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1186\/s12918-018-0532-7","volume":"12","author":"H Yu","year":"2018","unstructured":"Yu, H., Mao, K.T., Shi, J.Y., Huang, H., Chen, Z., Dong, K., Yiu, S.M.: Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization. BMC Syst. Biol. 12(1), 14 (2018)","journal-title":"BMC Syst. Biol."},{"key":"25_CR13","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.ymeth.2019.03.012","volume":"166","author":"H Zhang","year":"2019","unstructured":"Zhang, H., Liao, L., Cai, Y., Hu, Y., Wang, H.: IVS2vec: a tool of inverse virtual screening based on word2vec and deep learning techniques. Methods 166, 57\u201365 (2019)","journal-title":"Methods"},{"key":"25_CR14","doi-asserted-by":"publisher","first-page":"12339","DOI":"10.1038\/srep12339","volume":"5","author":"P Zhang","year":"2015","unstructured":"Zhang, P., Wang, F., Hu, J., Sorrentino, R.: Label propagation prediction of drug-drug interactions based on clinical side effects. Sci. Rep. 5, 12339 (2015)","journal-title":"Sci. Rep."},{"key":"25_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.artmed.2018.03.001","volume":"87","author":"D Zhou","year":"2018","unstructured":"Zhou, D., Miao, L., He, Y.: Position-aware deep multi-task learning for drug-drug interaction extraction. Artif. Intell. Med. 87, 1\u20138 (2018)","journal-title":"Artif. Intell. Med."}],"container-title":["Proceedings of the International Neural Networks Society","Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-48791-1_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,27]],"date-time":"2020-05-27T14:11:10Z","timestamp":1590588670000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-48791-1_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030487904","9783030487911"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-48791-1_25","relation":{},"ISSN":["2661-8141","2661-815X"],"issn-type":[{"type":"print","value":"2661-8141"},{"type":"electronic","value":"2661-815X"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"28 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Engineering Applications of Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Halkidiki","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eann2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eann2020.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}