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1
Vo TH , Nguyen NTK, Kha QH, Le NQK. On the road to explainable AI in drug-drug interactions prediction: a systematic review. Computational and Structural Biotechnology Journal 2022. [DOI: 10.1016/j.csbj.2022.04.021 ] [ Cited by in Crossref: 1] [ Cited by in F6Publishing: 1 ] [ Article Influence: 1.0 ] [ Reference Citation Analysis ]
2
Kim E , Nam H . DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions. J Cheminform 2022;14 :9. [PMID: 35246258 DOI: 10.1186/s13321-022-00589-5 ] [ Cited by in Crossref: 1] [ Cited by in F6Publishing: 1 ] [ Article Influence: 1.0 ] [ Reference Citation Analysis ]
3
Datta TT , Shill PC, Al Nazi Z. BERT-D2: Drug-Drug Interaction Extraction using BERT. 2022 International Conference for Advancement in Technology (ICONAT) 2022. [DOI: 10.1109/iconat53423.2022.9725979 ] [ Cited by in Crossref: 1] [ Cited by in F6Publishing: 1 ] [ Article Influence: 1.0 ] [ Reference Citation Analysis ]
4
Yu Z , Wu Z , Li W , Liu G , Tang Y . ADENet: a novel network-based inference method for prediction of drug adverse events. Brief Bioinform 2022:bbab580. [PMID: 35039845 DOI: 10.1093/bib/bbab580 ] [ Reference Citation Analysis ]
5
Vatansever S , Schlessinger A , Wacker D , Kaniskan HÜ , Jin J , Zhou MM , Zhang B . Artificial intelligence and machine learning-aided drug discovery in central nervous system diseases: State-of-the-arts and future directions. Med Res Rev 2021;41 :1427-73. [PMID: 33295676 DOI: 10.1002/med.21764 ] [ Cited by in Crossref: 43] [ Cited by in F6Publishing: 42 ] [ Article Influence: 21.5 ] [ Reference Citation Analysis ]
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