299 related articles for article (PubMed ID: 38097937)
1. DL-PPI: a method on prediction of sequenced protein-protein interaction based on deep learning.
Wu J; Liu B; Zhang J; Wang Z; Li J
BMC Bioinformatics; 2023 Dec; 24(1):473. PubMed ID: 38097937
[TBL] [Abstract][Full Text] [Related]
2. SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction.
Li X; Han P; Wang G; Chen W; Wang S; Song T
BMC Genomics; 2022 Jun; 23(1):474. PubMed ID: 35761175
[TBL] [Abstract][Full Text] [Related]
3. Multimodal deep representation learning for protein interaction identification and protein family classification.
Zhang D; Kabuka M
BMC Bioinformatics; 2019 Dec; 20(Suppl 16):531. PubMed ID: 31787089
[TBL] [Abstract][Full Text] [Related]
4. HN-PPISP: a hybrid network based on MLP-Mixer for protein-protein interaction site prediction.
Kang Y; Xu Y; Wang X; Pu B; Yang X; Rao Y; Chen J
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36403092
[TBL] [Abstract][Full Text] [Related]
5. MaTPIP: A deep-learning architecture with eXplainable AI for sequence-driven, feature mixed protein-protein interaction prediction.
Ghosh S; Mitra P
Comput Methods Programs Biomed; 2024 Feb; 244():107955. PubMed ID: 38064959
[TBL] [Abstract][Full Text] [Related]
6. DSSGNN-PPI: A Protein-Protein Interactions prediction model based on Double Structure and Sequence graph neural networks.
Zhang F; Chang S; Wang B; Zhang X
Comput Biol Med; 2024 Jul; 177():108669. PubMed ID: 38833802
[TBL] [Abstract][Full Text] [Related]
7. Improving protein-protein interaction prediction using protein language model and protein network features.
Hu J; Li Z; Rao B; Thafar MA; Arif M
Anal Biochem; 2024 Apr; 693():115550. PubMed ID: 38679191
[TBL] [Abstract][Full Text] [Related]
8. Hierarchical graph learning for protein-protein interaction.
Gao Z; Jiang C; Zhang J; Jiang X; Li L; Zhao P; Yang H; Huang Y; Li J
Nat Commun; 2023 Feb; 14(1):1093. PubMed ID: 36841846
[TBL] [Abstract][Full Text] [Related]
9. Graph-based prediction of Protein-protein interactions with attributed signed graph embedding.
Yang F; Fan K; Song D; Lin H
BMC Bioinformatics; 2020 Jul; 21(1):323. PubMed ID: 32693790
[TBL] [Abstract][Full Text] [Related]
10. PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein-protein interaction information.
Yang H; Wang M; Liu X; Zhao XM; Li A
Bioinformatics; 2021 Dec; 37(24):4668-4676. PubMed ID: 34320631
[TBL] [Abstract][Full Text] [Related]
11. GNNGL-PPI: multi-category prediction of protein-protein interactions using graph neural networks based on global graphs and local subgraphs.
Zeng X; Meng FF; Wen ML; Li SJ; Li Y
BMC Genomics; 2024 May; 25(1):406. PubMed ID: 38724906
[TBL] [Abstract][Full Text] [Related]
12. MM-StackEns: A new deep multimodal stacked generalization approach for protein-protein interaction prediction.
Albu AI; Bocicor MI; Czibula G
Comput Biol Med; 2023 Feb; 153():106526. PubMed ID: 36623437
[TBL] [Abstract][Full Text] [Related]
13. MR2CPPIS: Accurate prediction of protein-protein interaction sites based on multi-scale Res2Net with coordinate attention mechanism.
Gong Y; Li R; Liu Y; Wang J; Cao B; Fu X; Li R; Chen DZ
Comput Biol Med; 2024 Jun; 176():108543. PubMed ID: 38744015
[TBL] [Abstract][Full Text] [Related]
14. Deep Neural Network Based Predictions of Protein Interactions Using Primary Sequences.
Li H; Gong XJ; Yu H; Zhou C
Molecules; 2018 Aug; 23(8):. PubMed ID: 30071670
[TBL] [Abstract][Full Text] [Related]
15. DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction.
Chen W; Wang S; Song T; Li X; Han P; Gao C
BMC Genomics; 2022 Aug; 23(1):555. PubMed ID: 35922751
[TBL] [Abstract][Full Text] [Related]
16. Graph-BERT and language model-based framework for protein-protein interaction identification.
Jha K; Karmakar S; Saha S
Sci Rep; 2023 Apr; 13(1):5663. PubMed ID: 37024543
[TBL] [Abstract][Full Text] [Related]
17. Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction.
Su XR; Hu L; You ZH; Hu PW; Zhao BW
BMC Bioinformatics; 2022 Jun; 23(1):234. PubMed ID: 35710342
[TBL] [Abstract][Full Text] [Related]
18. Drug-target affinity prediction with extended graph learning-convolutional networks.
Qi H; Yu T; Yu W; Liu C
BMC Bioinformatics; 2024 Feb; 25(1):75. PubMed ID: 38365583
[TBL] [Abstract][Full Text] [Related]
19. Completing sparse and disconnected protein-protein network by deep learning.
Huang L; Liao L; Wu CH
BMC Bioinformatics; 2018 Mar; 19(1):103. PubMed ID: 29566671
[TBL] [Abstract][Full Text] [Related]
20. Predicting protein-protein interactions through sequence-based deep learning.
Hashemifar S; Neyshabur B; Khan AA; Xu J
Bioinformatics; 2018 Sep; 34(17):i802-i810. PubMed ID: 30423091
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
