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Journal Abstract Search

165 related items for PubMed ID: 38640481

  • 1. 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 05; 40(5):. PubMed ID: 38640481
    [Abstract] [Full Text] [Related]

  • 2. 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 05; 177():108669. PubMed ID: 38833802
    [Abstract] [Full Text] [Related]

  • 3. 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 09; 25(1):406. PubMed ID: 38724906
    [Abstract] [Full Text] [Related]

  • 4. Protein-Protein Interfaces: A Graph Neural Network Approach.
    Pancino N, Gallegati C, Romagnoli F, Bongini P, Bianchini M.
    Int J Mol Sci; 2024 May 28; 25(11):. PubMed ID: 38892057
    [Abstract] [Full Text] [Related]

  • 5. EGPDI: identifying protein-DNA binding sites based on multi-view graph embedding fusion.
    Zheng M, Sun G, Li X, Fan Y.
    Brief Bioinform; 2024 May 23; 25(4):. PubMed ID: 38975896
    [Abstract] [Full Text] [Related]

  • 6. Graph embedding-based novel protein interaction prediction via higher-order graph convolutional network.
    Xiao Z, Deng Y.
    PLoS One; 2020 May 23; 15(9):e0238915. PubMed ID: 32970681
    [Abstract] [Full Text] [Related]

  • 7. Protein-Protein Interaction Prediction via Structure-Based Deep Learning.
    Liu Y, Liu Y, Li Z.
    Proteins; 2024 Nov 23; 92(11):1287-1296. PubMed ID: 38923590
    [Abstract] [Full Text] [Related]

  • 8. 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 Oct 23; 693():115550. PubMed ID: 38679191
    [Abstract] [Full Text] [Related]

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  • 10. DualNetGO: a dual network model for protein function prediction via effective feature selection.
    Chen Z, Luo Q.
    Bioinformatics; 2024 Jul 01; 40(7):. PubMed ID: 38963311
    [Abstract] [Full Text] [Related]

  • 11. A Hierarchical Graph Neural Network Framework for Predicting Protein-Protein Interaction Modulators With Functional Group Information and Hypergraph Structure.
    Zhang Z, Zhao L, Wang J, Wang C.
    IEEE J Biomed Health Inform; 2024 Jul 01; 28(7):4295-4305. PubMed ID: 38564358
    [Abstract] [Full Text] [Related]

  • 12. AFTGAN: prediction of multi-type PPI based on attention free transformer and graph attention network.
    Kang Y, Elofsson A, Jiang Y, Huang W, Yu M, Li Z.
    Bioinformatics; 2023 Feb 03; 39(2):. PubMed ID: 36692145
    [Abstract] [Full Text] [Related]

  • 13. 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; 21(1):323. PubMed ID: 32693790
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  • 15. PCP-GC-LM: single-sequence-based protein contact prediction using dual graph convolutional neural network and convolutional neural network.
    Ouyang J, Gao Y, Yang Y.
    BMC Bioinformatics; 2024 Sep 02; 25(1):287. PubMed ID: 39223474
    [Abstract] [Full Text] [Related]

  • 16. 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 25; 14(1):1093. PubMed ID: 36841846
    [Abstract] [Full Text] [Related]

  • 17. E(3) equivariant graph neural networks for robust and accurate protein-protein interaction site prediction.
    Roche R, Moussad B, Shuvo MH, Bhattacharya D.
    PLoS Comput Biol; 2023 Aug 25; 19(8):e1011435. PubMed ID: 37651442
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  • 19. 3D-equivariant graph neural networks for protein model quality assessment.
    Chen C, Chen X, Morehead A, Wu T, Cheng J.
    Bioinformatics; 2023 Jan 01; 39(1):. PubMed ID: 36637199
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