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 *

201 related articles for article (PubMed ID: 37847755)

  • 1. Struct2GO: protein function prediction based on graph pooling algorithm and AlphaFold2 structure information.
    Jiao P; Wang B; Wang X; Liu B; Wang Y; Li J
    Bioinformatics; 2023 Oct; 39(10):. PubMed ID: 37847755
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 3D-equivariant graph neural networks for protein model quality assessment.
    Chen C; Chen X; Morehead A; Wu T; Cheng J
    Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36637199
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function.
    Boadu F; Cao H; Cheng J
    Bioinformatics; 2023 Jun; 39(39 Suppl 1):i318-i325. PubMed ID: 37387145
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hierarchical graph transformer with contrastive learning for protein function prediction.
    Gu Z; Luo X; Chen J; Deng M; Lai L
    Bioinformatics; 2023 Jul; 39(7):. PubMed ID: 37369035
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. EquiPNAS: improved protein-nucleic acid binding site prediction using protein-language-model-informed equivariant deep graph neural networks.
    Roche R; Moussad B; Shuvo MH; Tarafder S; Bhattacharya D
    Nucleic Acids Res; 2024 Mar; 52(5):e27. PubMed ID: 38281252
    [TBL] [Abstract][Full Text] [Related]  

  • 7. TAWFN: a deep learning framework for protein function prediction.
    Meng L; Wang X
    Bioinformatics; 2024 Oct; 40(10):. PubMed ID: 39312678
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. RGN: Residue-Based Graph Attention and Convolutional Network for Protein-Protein Interaction Site Prediction.
    Wang S; Chen W; Han P; Li X; Song T
    J Chem Inf Model; 2022 Dec; 62(23):5961-5974. PubMed ID: 36398714
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Protein Subcellular Localization Prediction Model Based on Graph Convolutional Network.
    Zhang T; Gu J; Wang Z; Wu C; Liang Y; Shi X
    Interdiscip Sci; 2022 Dec; 14(4):937-946. PubMed ID: 35713780
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Accurately identifying nucleic-acid-binding sites through geometric graph learning on language model predicted structures.
    Song Y; Yuan Q; Zhao H; Yang Y
    Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37824738
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions.
    Baranwal M; Magner A; Saldinger J; Turali-Emre ES; Elvati P; Kozarekar S; VanEpps JS; Kotov NA; Violi A; Hero AO
    BMC Bioinformatics; 2022 Sep; 23(1):370. PubMed ID: 36088285
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MINDG: a drug-target interaction prediction method based on an integrated learning algorithm.
    Yang H; Chen Y; Zuo Y; Deng Z; Pan X; Shen HB; Choi KS; Yu DJ
    Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38483285
    [TBL] [Abstract][Full Text] [Related]  

  • 14. High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features.
    Jones DT; Kandathil SM
    Bioinformatics; 2018 Oct; 34(19):3308-3315. PubMed ID: 29718112
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identifying B-cell epitopes using AlphaFold2 predicted structures and pretrained language model.
    Zeng Y; Wei Z; Yuan Q; Chen S; Yu W; Lu Y; Gao J; Yang Y
    Bioinformatics; 2023 Apr; 39(4):. PubMed ID: 37039829
    [TBL] [Abstract][Full Text] [Related]  

  • 16. QuoteTarget: A sequence-based transformer protein language model to identify potentially druggable protein targets.
    Chen J; Gu Z; Xu Y; Deng M; Lai L; Pei J
    Protein Sci; 2023 Feb; 32(2):e4555. PubMed ID: 36564866
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting residue-specific qualities of individual protein models using residual neural networks and graph neural networks.
    Zhao C; Liu T; Wang Z
    Proteins; 2022 Dec; 90(12):2091-2102. PubMed ID: 35842895
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Long-distance dependency combined multi-hop graph neural networks for protein-protein interactions prediction.
    Zhong W; He C; Xiao C; Liu Y; Qin X; Yu Z
    BMC Bioinformatics; 2022 Dec; 23(1):521. PubMed ID: 36471248
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. High-accuracy protein model quality assessment using attention graph neural networks.
    Zhang P; Xia C; Shen HB
    Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36736352
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.