{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T15:59:11Z","timestamp":1785340751771,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T00:00:00Z","timestamp":1782777600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH (National Institutes of Health)","doi-asserted-by":"publisher","award":["1S10OD038214-01"],"award-info":[{"award-number":["1S10OD038214-01"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2316003"],"award-info":[{"award-number":["2316003"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100013759","name":"Commonwealth Health Research Board","doi-asserted-by":"publisher","award":["2360623"],"award-info":[{"award-number":["2360623"]}],"id":[{"id":"10.13039\/100013759","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009238","name":"Virginia Commonwealth University","doi-asserted-by":"publisher","award":["Breakthrough"],"award-info":[{"award-number":["Breakthrough"]}],"id":[{"id":"10.13039\/100009238","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,30]]},"DOI":"10.1145\/3807503.3819481","type":"proceedings-article","created":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T02:55:27Z","timestamp":1785293727000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Attention-Based Multi-Omics Fusion for Drug Synergy Prediction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9389-380X","authenticated-orcid":false,"given":"Kusal","family":"Debnath","sequence":"first","affiliation":[{"name":"Virginia Commonwealth University, Richmond, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9199-2479","authenticated-orcid":false,"given":"Pratip","family":"Rana","sequence":"additional","affiliation":[{"name":"Old Dominion University, Norfolk, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3880-5886","authenticated-orcid":false,"given":"Preetam","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University, Richmond, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,28]]},"reference":[{"key":"e_1_3_3_1_2_2","unstructured":"Walid Ahmad Elana Simon Seyone Chithrananda Gabriel Grand and Bharath Ramsundar. 2022. Chemberta-2: Towards chemical foundation models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2209.01712 (2022)."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","unstructured":"M\u00a0C Berenbaum. 1989. What is synergy? Pharmacological Reviews 41 2 (June 1989) 93\u2013141. 10.1016\/S0031-6997(25)00026-2","DOI":"10.1016\/S0031-6997(25)00026-2"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Hector Flores-Hernandez and Emmanuel Martinez-Ledesma. 2024. A systematic review of deep learning chemical language models in recent era. Journal of Cheminformatics 16 1 (2024) 129.","DOI":"10.1186\/s13321-024-00916-y"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"crossref","unstructured":"Kexin Huang Tianfan Fu Wenhao Gao Yue Zhao Yusuf Roohani Jure Leskovec Connor\u00a0W Coley Cao Xiao Jimeng Sun and Marinka Zitnik. 2022. Artificial intelligence foundation for therapeutic science. Nature chemical biology 18 10 (2022) 1033\u20131036.","DOI":"10.1038\/s41589-022-01131-2"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"Halil\u00a0Ibrahim Kuru Oznur Tastan and A\u00a0Ercument Cicek. 2021. MatchMaker: a deep learning framework for drug synergy prediction. IEEE\/ACM transactions on computational biology and bioinformatics 19 4 (2021) 2334\u20132344.","DOI":"10.1109\/TCBB.2021.3086702"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599437"},{"key":"e_1_3_3_1_8_2","unstructured":"Yijingxiu Lu Yinhua Piao Sangseon Lee and Sun Kim. 2025. Context-Aware Hierarchical Fusion for Drug Relational Learning. IEEE Transactions on Computational Biology and Bioinformatics (2025)."},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Arnold\u00a0K Nyamabo Hui Yu and Jian-Yu Shi. 2021. SSI\u2013DDI: substructure\u2013substructure interactions for drug\u2013drug interaction prediction. Briefings in Bioinformatics 22 6 (2021) bbab133.","DOI":"10.1093\/bib\/bbab133"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Alberto Ocana Atanasio Pandiella Cristian Privat Iv\u00e1n Bravo Miguel Luengo-Oroz Eitan Amir and Balazs Gyorffy. 2025. Integrating artificial intelligence in drug discovery and early drug development: a transformative approach. Biomarker research 13 1 (2025) 45.","DOI":"10.1186\/s40364-025-00758-2"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"crossref","unstructured":"Kristina Preuer Richard\u00a0PI Lewis Sepp Hochreiter Andreas Bender Krishna\u00a0C Bulusu and G\u00fcnter Klambauer. 2018. DeepSynergy: predicting anti-cancer drug synergy with deep learning. Bioinformatics 34 9 (2018) 1538\u20131546.","DOI":"10.1093\/bioinformatics\/btx806"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"William\u00a0C Reinhold Margot Sunshine Hongfang Liu Sudhir Varma Kurt\u00a0W Kohn Joel Morris James Doroshow and Yves Pommier. 2012. CellMiner: a web-based suite of genomic and pharmacologic tools to explore transcript and drug patterns in the NCI-60 cell line set. Cancer research 72 14 (2012) 3499\u20133511.","DOI":"10.1158\/0008-5472.CAN-12-1370"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"crossref","unstructured":"Jerret Ross Brian Belgodere Vijil Chenthamarakshan Inkit Padhi Youssef Mroueh and Payel Das. 2022. Large-scale chemical language representations capture molecular structure and properties. Nature Machine Intelligence 4 12 (2022) 1256\u20131264.","DOI":"10.1038\/s42256-022-00580-7"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"Alexander Schuhmacher Markus Hinder Elazar Brief Oliver Gassmann and Dominik Hartl. 2025. Benchmarking R&D success rates of leading pharmaceutical companies: an empirical analysis of FDA approvals (2006\u20132022). Drug Discovery Today 30 2 (2025) 104291.","DOI":"10.1016\/j.drudis.2025.104291"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Duxin Sun Wei Gao Hongxiang Hu and Simon Zhou. 2022. Why 90% of clinical drug development fails and how to improve it? Acta Pharmaceutica Sinica B 12 7 (2022) 3049\u20133062.","DOI":"10.1016\/j.apsb.2022.02.002"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Jing Tang Krister Wennerberg and Tero Aittokallio. 2015. What is synergy? The Saariselk\u00e4 agreement revisited. Frontiers in pharmacology 6 (2015) 181.","DOI":"10.3389\/fphar.2015.00181"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Jinxian Wang Xuejun Liu Siyuan Shen Lei Deng and Hui Liu. 2022. DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations. Briefings in Bioinformatics 23 1 (2022) bbab390.","DOI":"10.1093\/bib\/bbab390"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"Bhagwan Yadav Krister Wennerberg Tero Aittokallio and Jing Tang. 2015. Searching for drug synergy in complex dose\u2013response landscapes using an interaction potency model. Computational and structural biotechnology journal 13 (2015) 504\u2013513.","DOI":"10.1016\/j.csbj.2015.09.001"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"crossref","unstructured":"Qijin Yin Rui Fan Xusheng Cao Qiao Liu Rui Jiang and Wanwen Zeng. 2023. DeepDrug: a general graph-based deep learning framework for drug-drug interactions and drug-target interactions prediction. Quantitative Biology 11 3 (2023) 260\u2013274.","DOI":"10.15302\/J-QB-022-0320"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"Bulat Zagidullin Jehad Aldahdooh Shuyu Zheng Wenyu Wang Yinyin Wang Joseph Saad Alina Malyutina Mohieddin Jafari Ziaurrehman Tanoli Alberto Pessia et\u00a0al. 2019. DrugComb: an integrative cancer drug combination data portal. Nucleic acids research 47 W1 (2019) W43\u2013W51.","DOI":"10.1093\/nar\/gkz337"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"Yixiong Zou Shuai Yi Yuhua Li and Ruixuan Li. 2024. A closer look at the cls token for cross-domain few-shot learning. Advances in Neural Information Processing Systems 37 (2024) 85523\u201385545.","DOI":"10.52202\/079017-2716"}],"event":{"name":"BCB '26: 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","location":"Rende (CS) Italy","acronym":"BCB '26","sponsor":["SIGBio ACM Special Interest Group on Bioinformatics"]},"container-title":["Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3807503.3819481","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3807503.3819481","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T15:12:55Z","timestamp":1785337975000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3807503.3819481"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,30]]},"references-count":20,"alternative-id":["10.1145\/3807503.3819481","10.1145\/3807503"],"URL":"https:\/\/doi.org\/10.1145\/3807503.3819481","relation":{},"subject":[],"published":{"date-parts":[[2026,6,30]]},"assertion":[{"value":"2026-07-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}