نتائج البحث

HDN-DDI: a novel framework for predicting drug-drug interactions using hierarchical molecular graphs and enhanced dual-view representation learning.

• Authors : Sun, Jinchen^1,2 (AUTHOR) ; Zheng, Haoran^1,2 (AUTHOR)

• Source: BMC Bioinformatics. 1/26/2025, Vol. 26 Issue 1, p1-20. 20p.

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Multi-view feature representation and fusion for drug-drug interactions prediction.

• Authors : Wang, Jing^1,2 (AUTHOR); Zhang, Shuo³ (AUTHOR); Li, Runzhi² (AUTHOR)

• Source: BMC Bioinformatics. 3/14/2023, Vol. 24 Issue 1, p1-23. 23p.

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Deep learning-enabled natural language processing to identify directional pharmacokinetic drug–drug interactions.

• Authors : Zirkle, Joel¹ (AUTHOR); Han, Xiaomei¹ (AUTHOR); Racz, Rebecca¹ (AUTHOR)

• Source: BMC Bioinformatics. 11/1/2023, Vol. 24 Issue 1, p1-17. 17p.

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Predict multi-type drug–drug interactions in cold start scenario.

• Authors : Liu, Zun¹ (AUTHOR); Wang, Xing-Nan¹ (AUTHOR); Yu, Hui¹ (AUTHOR)

• Source: BMC Bioinformatics. 2/16/2022, Vol. 23 Issue 1, p1-13. 13p.

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CNN-DDI: a learning-based method for predicting drug–drug interactions using convolution neural networks.

• Authors : Zhang, Chengcheng¹ (AUTHOR); Lu, Yao² (AUTHOR); Zang, Tianyi¹ (AUTHOR)

• Source: BMC Bioinformatics. 3/7/2022, Vol. 23 Issue 1, p1-11. 11p.

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MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction: MTAF–DTA: multi-type...: J. Sun et al.

• Authors : Sun, Jinghong¹ (AUTHOR) ; Wang, Han¹ (AUTHOR) ; Mi, Jia¹ (AUTHOR)

• Source: BMC Bioinformatics. 12/5/2024, Vol. 25 Issue 1, p1-21. 21p.

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Learning self-supervised molecular representations for drug–drug interaction prediction.

• Authors : Kpanou, Rogia¹ (AUTHOR) ; Dallaire, Patrick¹ (AUTHOR); Rousseau, Elsa^1,2,3 (AUTHOR)

• Source: BMC Bioinformatics. 1/30/2024, Vol. 25 Issue 1, p1-24. 24p.

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An attention-based effective neural model for drug-drug interactions extraction.

• Authors : Wei Zheng^1,2; Hongfei Lin¹ ; Ling Luo¹

• Source: BMC Bioinformatics. 10/10/2017, Vol. 18, p1-11. 11p. 1 Diagram, 10 Charts, 3 Graphs.

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TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs.

• Authors : Shi, Jian-Yu¹ ; Huang, Hua² ; Li, Jia-Xin¹

• Source: BMC Bioinformatics. 11/20/2018 Supplement 14, Vol. 19 Issue 14, p27-37. 11p. 2 Diagrams, 5 Charts, 4 Graphs.

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DPDDI: a deep predictor for drug-drug interactions.

• Authors : Feng YH; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China.; Zhang SW

Subjects: Drug Interactions* ; Software*; Databases as Topic

• Source: BMC bioinformatics [BMC Bioinformatics] 2020 Sep 24; Vol. 21 (1), pp. 419. Date of Electronic Publication: 2020 Sep Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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