205 related articles for article (PubMed ID: 35274672)
1. BridgeDPI: a novel Graph Neural Network for predicting drug-protein interactions.
Wu Y; Gao M; Zeng M; Zhang J; Li M
Bioinformatics; 2022 Apr; 38(9):2571-2578. PubMed ID: 35274672
[TBL] [Abstract][Full Text] [Related]
2. BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction.
Li M; Lu Z; Wu Y; Li Y
Bioinformatics; 2022 Mar; 38(7):1995-2002. PubMed ID: 35043942
[TBL] [Abstract][Full Text] [Related]
3. Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequences.
Tsubaki M; Tomii K; Sese J
Bioinformatics; 2019 Jan; 35(2):309-318. PubMed ID: 29982330
[TBL] [Abstract][Full Text] [Related]
4. Effective drug-target interaction prediction with mutual interaction neural network.
Li F; Zhang Z; Guan J; Zhou S
Bioinformatics; 2022 Jul; 38(14):3582-3589. PubMed ID: 35652721
[TBL] [Abstract][Full Text] [Related]
5. Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions.
Peng W; Liu H; Dai W; Yu N; Wang J
Bioinformatics; 2022 Sep; 38(19):4546-4553. PubMed ID: 35997568
[TBL] [Abstract][Full Text] [Related]
6. iNGNN-DTI: prediction of drug-target interaction with interpretable nested graph neural network and pretrained molecule models.
Sun Y; Li YY; Leung CK; Hu P
Bioinformatics; 2024 Mar; 40(3):. PubMed ID: 38449285
[TBL] [Abstract][Full Text] [Related]
7. Drug-drug interaction prediction with learnable size-adaptive molecular substructures.
Nyamabo AK; Yu H; Liu Z; Shi JY
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34695842
[TBL] [Abstract][Full Text] [Related]
8. HetDDI: a pre-trained heterogeneous graph neural network model for drug-drug interaction prediction.
Li Z; Tu X; Chen Y; Lin W
Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37903412
[TBL] [Abstract][Full Text] [Related]
9. Drug-Protein interaction prediction by correcting the effect of incomplete information in heterogeneous information.
Li Y; Sun C; Wei JM; Liu J
Bioinformatics; 2022 Nov; 38(22):5073-5080. PubMed ID: 36111859
[TBL] [Abstract][Full Text] [Related]
10. SPP-CPI: Predicting Compound-Protein Interactions Based On Neural Networks.
Qian Y; Li X; Zhang Q; Zhang J
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(1):40-47. PubMed ID: 34043511
[TBL] [Abstract][Full Text] [Related]
11. Similarity measures-based graph co-contrastive learning for drug-disease association prediction.
Gao Z; Ma H; Zhang X; Wang Y; Wu Z
Bioinformatics; 2023 Jun; 39(6):. PubMed ID: 37261859
[TBL] [Abstract][Full Text] [Related]
12. Prediction of drug-protein interaction based on dual channel neural networks with attention mechanism.
Tan D; Jiang H; Li H; Xie Y; Su Y
Brief Funct Genomics; 2024 May; 23(3):286-294. PubMed ID: 37642213
[TBL] [Abstract][Full Text] [Related]
13. MEG-PPIS: a fast protein-protein interaction site prediction method based on multi-scale graph information and equivariant graph neural network.
Ding H; Li X; Han P; Tian X; Jing F; Wang S; Song T; Fu H; Kang N
Bioinformatics; 2024 Jan; 40(5):. PubMed ID: 38640481
[TBL] [Abstract][Full Text] [Related]
14. Perceiver CPI: a nested cross-attention network for compound-protein interaction prediction.
Nguyen NQ; Jang G; Kim H; Kang J
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36416124
[TBL] [Abstract][Full Text] [Related]
15. MDL-CPI: Multi-view deep learning model for compound-protein interaction prediction.
Wei L; Long W; Wei L
Methods; 2022 Aug; 204():418-427. PubMed ID: 35114401
[TBL] [Abstract][Full Text] [Related]
16. iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network.
Zhao BW; Su XR; Hu PW; Huang YA; You ZH; Hu L
Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37505483
[TBL] [Abstract][Full Text] [Related]
17. Predicting Drug-Protein Interactions by Self-Adaptively Adjusting the Topological Structure of the Heterogeneous Network.
Tang R; Sun C; Huang J; Li M; Wei J; Liu J
IEEE J Biomed Health Inform; 2023 Nov; 27(11):5675-5684. PubMed ID: 37672364
[TBL] [Abstract][Full Text] [Related]
18. Identifying drug-target interactions via heterogeneous graph attention networks combined with cross-modal similarities.
Jiang L; Sun J; Wang Y; Ning Q; Luo N; Yin M
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35224614
[TBL] [Abstract][Full Text] [Related]
19. Ensembling graph attention networks for human microbe-drug association prediction.
Long Y; Wu M; Liu Y; Kwoh CK; Luo J; Li X
Bioinformatics; 2020 Dec; 36(Suppl_2):i779-i786. PubMed ID: 33381844
[TBL] [Abstract][Full Text] [Related]
20. Revisiting drug-protein interaction prediction: a novel global-local perspective.
Zhou Z; Liao Q; Wei J; Zhuo L; Wu X; Fu X; Zou Q
Bioinformatics; 2024 May; 40(5):. PubMed ID: 38648052
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]