162 related articles for article (PubMed ID: 36206844)
1. PrUb-EL: A hybrid framework based on deep learning for identifying ubiquitination sites in Arabidopsis thaliana using ensemble learning strategy.
Wang H; Li H; Gao W; Xie J
Anal Biochem; 2022 Dec; 658():114935. PubMed ID: 36206844
[TBL] [Abstract][Full Text] [Related]
2. UbNiRF: A Hybrid Framework Based on Null Importances and Random Forest that Combines Multiple Features to Predict Ubiquitination Sites in
Li X; Yuan Z; Chen Y
Front Biosci (Landmark Ed); 2024 May; 29(5):197. PubMed ID: 38812315
[TBL] [Abstract][Full Text] [Related]
3. Computational identification of ubiquitination sites in Arabidopsis thaliana using convolutional neural networks.
Wang X; Yan R; Chen YZ; Wang Y
Plant Mol Biol; 2021 Apr; 105(6):601-610. PubMed ID: 33527202
[TBL] [Abstract][Full Text] [Related]
4. PseAraUbi: predicting arabidopsis ubiquitination sites by incorporating the physico-chemical and structural features.
Wang W; Zhang Y; Liu D; Zhang H; Wang X; Zhou Y
Plant Mol Biol; 2022 Sep; 110(1-2):81-92. PubMed ID: 35773617
[TBL] [Abstract][Full Text] [Related]
5. Prediction of protein ubiquitination sites via multi-view features based on eXtreme gradient boosting classifier.
Liu Y; Jin S; Song L; Han Y; Yu B
J Mol Graph Model; 2021 Sep; 107():107962. PubMed ID: 34198216
[TBL] [Abstract][Full Text] [Related]
6. DeepUbi: a deep learning framework for prediction of ubiquitination sites in proteins.
Fu H; Yang Y; Wang X; Wang H; Xu Y
BMC Bioinformatics; 2019 Feb; 20(1):86. PubMed ID: 30777029
[TBL] [Abstract][Full Text] [Related]
7. BiGRUD-SA: Protein S-sulfenylation sites prediction based on BiGRU and self-attention.
Zhang T; Jia J; Chen C; Zhang Y; Yu B
Comput Biol Med; 2023 Sep; 163():107145. PubMed ID: 37336062
[TBL] [Abstract][Full Text] [Related]
8. ECAmyloid: An amyloid predictor based on ensemble learning and comprehensive sequence-derived features.
Yang R; Liu J; Zhang L
Comput Biol Chem; 2023 Jun; 104():107853. PubMed ID: 36990028
[TBL] [Abstract][Full Text] [Related]
9. Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana.
Mosharaf MP; Hassan MM; Ahmed FF; Khatun MS; Moni MA; Mollah MNH
Comput Biol Chem; 2020 Apr; 85():107238. PubMed ID: 32114285
[TBL] [Abstract][Full Text] [Related]
10. PreVFs-RG: A Deep Hybrid Model for Identifying Virulence Factors Based on Residual Block and Gated Recurrent Unit.
Zhang S; Jing Y
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(3):1926-1934. PubMed ID: 36399585
[TBL] [Abstract][Full Text] [Related]
11. Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences.
Cai B; Jiang X
BMC Bioinformatics; 2016 Mar; 17():116. PubMed ID: 26940649
[TBL] [Abstract][Full Text] [Related]
12. Mini-review: Recent advances in post-translational modification site prediction based on deep learning.
Meng L; Chan WS; Huang L; Liu L; Chen X; Zhang W; Wang F; Cheng K; Sun H; Wong KC
Comput Struct Biotechnol J; 2022; 20():3522-3532. PubMed ID: 35860402
[TBL] [Abstract][Full Text] [Related]
13. DapNet-HLA: Adaptive dual-attention mechanism network based on deep learning to predict non-classical HLA binding sites.
Jing Y; Zhang S; Wang H
Anal Biochem; 2023 Apr; 666():115075. PubMed ID: 36740003
[TBL] [Abstract][Full Text] [Related]
14. DeepSSPred: A Deep Learning Based Sulfenylation Site Predictor Via a Novel nSegmented Optimize Federated Feature Encoder.
Khan ZU; Pi D
Protein Pept Lett; 2021; 28(6):708-721. PubMed ID: 33267753
[TBL] [Abstract][Full Text] [Related]
15. circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier.
Li H; Deng Z; Yang H; Pan X; Wei Z; Shen HB; Choi KS; Wang L; Wang S; Wu J
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34571539
[TBL] [Abstract][Full Text] [Related]
16. A deep learning method to more accurately recall known lysine acetylation sites.
Wu M; Yang Y; Wang H; Xu Y
BMC Bioinformatics; 2019 Jan; 20(1):49. PubMed ID: 30674277
[TBL] [Abstract][Full Text] [Related]
17. DeepStack-DTIs: Predicting Drug-Target Interactions Using LightGBM Feature Selection and Deep-Stacked Ensemble Classifier.
Zhang Y; Jiang Z; Chen C; Wei Q; Gu H; Yu B
Interdiscip Sci; 2022 Jun; 14(2):311-330. PubMed ID: 34731411
[TBL] [Abstract][Full Text] [Related]
18. im5C-DSCGA: A Proposed Hybrid Framework Based on Improved DenseNet and Attention Mechanisms for Identifying 5-methylcytosine Sites in Human RNA.
Jia J; Qin L; Lei R
Front Biosci (Landmark Ed); 2023 Dec; 28(12):346. PubMed ID: 38179749
[TBL] [Abstract][Full Text] [Related]
19. Computational identification of human ubiquitination sites using convolutional and recurrent neural networks.
Wang X; Yan R; Wang Y
Mol Omics; 2021 Dec; 17(6):948-955. PubMed ID: 34515266
[TBL] [Abstract][Full Text] [Related]
20. Deep learning-assisted prediction of protein-protein interactions in Arabidopsis thaliana.
Zheng J; Yang X; Huang Y; Yang S; Wuchty S; Zhang Z
Plant J; 2023 May; 114(4):984-994. PubMed ID: 36919205
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]