{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T21:12:35Z","timestamp":1770844355781,"version":"3.50.1"},"reference-count":54,"publisher":"American Chemical Society (ACS)","issue":"16","license":[{"start":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T00:00:00Z","timestamp":1754265600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T00:00:00Z","timestamp":1754265600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T00:00:00Z","timestamp":1754265600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-045"}],"funder":[{"DOI":"10.13039\/501100005089","name":"Natural Science Foundation of Beijing Municipality","doi-asserted-by":"publisher","award":["4252021"],"award-info":[{"award-number":["4252021"]}],"id":[{"id":"10.13039\/501100005089","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["buct202221"],"award-info":[{"award-number":["buct202221"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["buctrc202403"],"award-info":[{"award-number":["buctrc202403"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62376017"],"award-info":[{"award-number":["62376017"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Chem. Inf. Model."],"published-print":{"date-parts":[[2025,8,25]]},"DOI":"10.1021\/acs.jcim.5c01171","type":"journal-article","created":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T14:38:03Z","timestamp":1754318283000},"page":"8889-8900","source":"Crossref","is-referenced-by-count":2,"title":["A Molecular Representation Learning Model Based on Multidimensional Joint and Cross-Learning for Drug\u2013Drug Interaction Prediction"],"prefix":"10.1021","volume":"65","author":[{"given":"Congzhou","family":"Chen","sequence":"first","affiliation":[{"name":"College of Information Science and Technology","place":["Beijing, China"]},{"name":"Beijing University of Chemical Technology","place":["Beijing, China"]}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4927-5762","authenticated-orcid":true,"given":"Xingyu","family":"Shi","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology","place":["Beijing, China"]},{"name":"Beijing University of Chemical Technology","place":["Beijing, China"]}]},{"given":"Jinyan","family":"Nie","sequence":"additional","affiliation":[{"name":"Beijing Institute of Computer Technology and Application","place":["Beijing, China"]}]},{"given":"Jin","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science","place":["Beijing, China"]},{"name":"Peking University","place":["Beijing, China"]}]},{"given":"Lingfeng","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology","place":["Beijing, China"]},{"name":"Beijing University of Chemical Technology","place":["Beijing, China"]}]}],"member":"316","published-online":{"date-parts":[[2025,8,4]]},"reference":[{"key":"ref1\/cit1","doi-asserted-by":"publisher","DOI":"10.1002\/cpt.1434"},{"key":"ref2\/cit2","doi-asserted-by":"publisher","DOI":"10.1186\/s12877-017-0621-2"},{"key":"ref3\/cit3","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.3834"},{"key":"ref4\/cit4","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbz087"},{"key":"ref5\/cit5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106828"},{"key":"ref6\/cit6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2024.104672"},{"key":"ref7\/cit7","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbad235"},{"key":"ref8\/cit8","doi-asserted-by":"crossref","unstructured":"Duke, J. D.; Han, X.; Wang, Z.; Subhadarshini, A.; Karnik, S. D.; Li, X.; Hall, S. D.; Jin, Y.; Callaghan, J. T.; Overhage, M. J.  Literature based drug interaction prediction with clinical assessment using electronic medical records: novel myopathy associated drug interactions. 2012,","DOI":"10.1371\/journal.pcbi.1002614"},{"key":"ref9\/cit9","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2018.03.001"},{"key":"ref10\/cit10","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/6918381"},{"key":"ref11\/cit11","doi-asserted-by":"crossref","unstructured":"Karim, M. R.; Cochez, M.; Jares, J. B.; Uddin, M.; Beyan, O.; Decker, S. Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network, Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, 2019; pp 113\u2013123.","DOI":"10.1145\/3307339.3342161"},{"key":"ref12\/cit12","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbad215"},{"key":"ref13\/cit13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ab.2022.114631"},{"key":"ref14\/cit14","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbac340"},{"key":"ref15\/cit15","doi-asserted-by":"publisher","DOI":"10.1109\/TCBBIO.2025.3553243"},{"key":"ref16\/cit16","doi-asserted-by":"publisher","DOI":"10.1186\/s12967-025-06783-x"},{"key":"ref17\/cit17","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbad385"},{"key":"ref18\/cit18","doi-asserted-by":"publisher","DOI":"10.1016\/j.drudis.2022.103373"},{"key":"ref19\/cit19","doi-asserted-by":"crossref","unstructured":"Lim, S.; Lee, Y. O. Predicting Chemical Properties Using Self-attention Multi-task Learning Based on SMILES Representation, 2020 25th International Conference on Pattern Recognition (ICPR), 2021; pp 3146\u20133153.","DOI":"10.1109\/ICPR48806.2021.9412555"},{"key":"ref20\/cit20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ailsci.2021.100014"},{"key":"ref21\/cit21","unstructured":"Huang, K.; Xiao, C.; Glass, L.; Sun, J. Explainable substructure partition fingerprint for protein, drug, and more NeurIPS Learning Meaningful Representation of Life Workshop 2019."},{"key":"ref22\/cit22","doi-asserted-by":"crossref","unstructured":"Bumgardner, B.; Tanvir, F.; Saifuddin, K. M.; Akbas, E. Drug-Drug Interaction Prediction: A Purely Smiles Based Approach, 2021 IEEE International Conference on Big Data (Big Data), 2021; pp 5571\u20135579.","DOI":"10.1109\/BigData52589.2021.9671766"},{"key":"ref23\/cit23","doi-asserted-by":"publisher","DOI":"10.3390\/ijms252111385"},{"key":"ref24\/cit24","doi-asserted-by":"crossref","unstructured":"He, K.; Zhang, X.; Ren, S.; Sun, J. Deep Residual Learning for Image Recognition, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016; pp 770\u2013778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref25\/cit25","doi-asserted-by":"publisher","DOI":"10.3390\/molecules29204829"},{"key":"ref26\/cit26","unstructured":"Cao, X.; Fan, R.; Zeng, W. Deepdrug: a general graph-based deep learning framework for drug relation prediction biorxiv 2020."},{"key":"ref27\/cit27","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbac296"},{"key":"ref28\/cit28","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1010812"},{"key":"ref29\/cit29","doi-asserted-by":"publisher","DOI":"10.1186\/s12915-024-02030-9"},{"key":"ref30\/cit30","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbac134"},{"key":"ref31\/cit31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.05.039"},{"key":"ref32\/cit32","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbab545"},{"key":"ref33\/cit33","doi-asserted-by":"crossref","first-page":"bbad397","DOI":"10.1093\/bib\/bbad397","volume":"24","author":"Gan Y.","year":"2023","journal-title":"Briefings Bioinf."},{"key":"ref34\/cit34","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2025.05.029"},{"key":"ref35\/cit35","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbad324"},{"key":"ref36\/cit36","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa880"},{"key":"ref37\/cit37","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Ashish V.","year":"2017"},{"key":"ref38\/cit38","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Sch\u00fctt K.","year":"2017"},{"key":"ref39\/cit39","unstructured":"Landrum, G.RDKit: A software suite for cheminformatics, computational chemistry, and predictive modeling Greg Landrum 2013; Vol. 8, p 5281."},{"key":"ref40\/cit40","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-014-0037-3"},{"key":"ref41\/cit41","doi-asserted-by":"publisher","DOI":"10.1021\/ci00057a005"},{"key":"ref42\/cit42","doi-asserted-by":"publisher","DOI":"10.1088\/2632-2153\/aba947"},{"key":"ref43\/cit43","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbab327"},{"key":"ref44\/cit44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref45\/cit45","doi-asserted-by":"publisher","DOI":"10.1016\/S0092-8240(83)80020-2"},{"key":"ref46\/cit46","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9991(77)90112-7"},{"key":"ref47\/cit47","doi-asserted-by":"publisher","DOI":"10.1126\/scitranslmed.3003377"},{"key":"ref48\/cit48","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkm958"},{"key":"ref49\/cit49","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1803294115"},{"key":"ref50\/cit50","unstructured":"Velickovic, P.; Cucurull, G.; Casanova, A.; Romero, A.; Lio, P.; Bengio, Y. Graph attention networks stat 2017; Vol. 1050, pp 10\u201348550."},{"key":"ref51\/cit51","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiolchem.2025.108355"},{"key":"ref52\/cit52","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2025.105337"},{"key":"ref53\/cit53","doi-asserted-by":"publisher","DOI":"10.1007\/s12539-025-00687-6"},{"key":"ref54\/cit54","doi-asserted-by":"publisher","DOI":"10.1016\/0024-3205(93)90728-L"}],"container-title":["Journal of Chemical Information and Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.jcim.5c01171","content-type":"application\/pdf","content-version":"vor","intended-application":"unspecified"},{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.jcim.5c01171","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T08:12:00Z","timestamp":1756109520000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubs.acs.org\/doi\/10.1021\/acs.jcim.5c01171"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,4]]},"references-count":54,"journal-issue":{"issue":"16","published-print":{"date-parts":[[2025,8,25]]}},"alternative-id":["10.1021\/acs.jcim.5c01171"],"URL":"https:\/\/doi.org\/10.1021\/acs.jcim.5c01171","relation":{},"ISSN":["1549-9596","1549-960X"],"issn-type":[{"value":"1549-9596","type":"print"},{"value":"1549-960X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,4]]}}}