These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

221 related articles for article (PubMed ID: 35255808)

  • 1. CNN-DDI: a learning-based method for predicting drug-drug interactions using convolution neural networks.
    Zhang C; Lu Y; Zang T
    BMC Bioinformatics; 2022 Mar; 23(Suppl 1):88. PubMed ID: 35255808
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CNN-Siam: multimodal siamese CNN-based deep learning approach for drug‒drug interaction prediction.
    Yang Z; Tong K; Jin S; Wang S; Yang C; Jiang F
    BMC Bioinformatics; 2023 Mar; 24(1):110. PubMed ID: 36959539
    [TBL] [Abstract][Full Text] [Related]  

  • 3. DPDDI: a deep predictor for drug-drug interactions.
    Feng YH; Zhang SW; Shi JY
    BMC Bioinformatics; 2020 Sep; 21(1):419. PubMed ID: 32972364
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multimodal CNN-DDI: using multimodal CNN for drug to drug interaction associated events.
    Asfand-E-Yar M; Hashir Q; Shah AA; Malik HAM; Alourani A; Khalil W
    Sci Rep; 2024 Feb; 14(1):4076. PubMed ID: 38374325
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of Drug-Drug Interaction Using an Attention-Based Graph Neural Network on Drug Molecular Graphs.
    Feng YH; Zhang SW
    Molecules; 2022 May; 27(9):. PubMed ID: 35566354
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A multimodal deep learning framework for predicting drug-drug interaction events.
    Deng Y; Xu X; Qiu Y; Xia J; Zhang W; Liu S
    Bioinformatics; 2020 Aug; 36(15):4316-4322. PubMed ID: 32407508
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DMFDDI: deep multimodal fusion for drug-drug interaction prediction.
    Gan Y; Liu W; Xu G; Yan C; Zou G
    Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37930025
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions.
    Feng YH; Zhang SW; Feng YY; Zhang QQ; Shi MH; Shi JY
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36642408
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting drug-drug interactions by graph convolutional network with multi-kernel.
    Wang F; Lei X; Liao B; Wu FX
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34864856
    [TBL] [Abstract][Full Text] [Related]  

  • 10. AMDE: a novel attention-mechanism-based multidimensional feature encoder for drug-drug interaction prediction.
    Pang S; Zhang Y; Song T; Zhang X; Wang X; Rodriguez-Patón A
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34965586
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Exploring convolutional neural networks for drug-drug interaction extraction.
    Suárez-Paniagua V; Segura-Bedmar I; Martínez P
    Database (Oxford); 2017 Jan; 2017():. PubMed ID: 28605776
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A dual graph neural network for drug-drug interactions prediction based on molecular structure and interactions.
    Ma M; Lei X
    PLoS Comput Biol; 2023 Jan; 19(1):e1010812. PubMed ID: 36701288
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MATT-DDI: Predicting multi-type drug-drug interactions via heterogeneous attention mechanisms.
    Lin S; Mao X; Hong L; Lin S; Wei DQ; Xiong Y
    Methods; 2023 Dec; 220():1-10. PubMed ID: 37858611
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-type feature fusion based on graph neural network for drug-drug interaction prediction.
    He C; Liu Y; Li H; Zhang H; Mao Y; Qin X; Liu L; Zhang X
    BMC Bioinformatics; 2022 Jun; 23(1):224. PubMed ID: 35689200
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MDF-SA-DDI: predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism.
    Lin S; Wang Y; Zhang L; Chu Y; Liu Y; Fang Y; Jiang M; Wang Q; Zhao B; Xiong Y; Wei DQ
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34671814
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Drug-drug interaction extraction via hybrid neural networks on biomedical literature.
    Wu H; Xing Y; Ge W; Liu X; Zou J; Zhou C; Liao J
    J Biomed Inform; 2020 Jun; 106():103432. PubMed ID: 32335223
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting drug-drug interactions using multi-modal deep auto-encoders based network embedding and positive-unlabeled learning.
    Zhang Y; Qiu Y; Cui Y; Liu S; Zhang W
    Methods; 2020 Jul; 179():37-46. PubMed ID: 32497603
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network.
    Peng J; Li J; Shang X
    BMC Bioinformatics; 2020 Sep; 21(Suppl 13):394. PubMed ID: 32938374
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of drug-drug interaction events using graph neural networks based feature extraction.
    Al-Rabeah MH; Lakizadeh A
    Sci Rep; 2022 Sep; 12(1):15590. PubMed ID: 36114278
    [TBL] [Abstract][Full Text] [Related]  

  • 20. BioDKG-DDI: predicting drug-drug interactions based on drug knowledge graph fusing biochemical information.
    Ren ZH; Yu CQ; Li LP; You ZH; Guan YJ; Wang XF; Pan J
    Brief Funct Genomics; 2022 May; 21(3):216-229. PubMed ID: 35368060
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.