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 *

142 related articles for article (PubMed ID: 39085781)

  • 1. DGCPPISP: a PPI site prediction model based on dynamic graph convolutional network and two-stage transfer learning.
    Feng Z; Huang W; Li H; Zhu H; Kang Y; Li Z
    BMC Bioinformatics; 2024 Jul; 25(1):252. PubMed ID: 39085781
    [TBL] [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; 177():108669. PubMed ID: 38833802
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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; 693():115550. PubMed ID: 38679191
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. EGRET: edge aggregated graph attention networks and transfer learning improve protein-protein interaction site prediction.
    Mahbub S; Bayzid MS
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35106547
    [TBL] [Abstract][Full Text] [Related]  

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

  • 9. 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; 28(7):4295-4305. PubMed ID: 38564358
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A novel candidate disease gene prioritization method using deep graph convolutional networks and semi-supervised learning.
    Azadifar S; Ahmadi A
    BMC Bioinformatics; 2022 Oct; 23(1):422. PubMed ID: 36241966
    [TBL] [Abstract][Full Text] [Related]  

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

  • 12. 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]  

  • 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(1):323. PubMed ID: 32693790
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

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

  • 16. Co-training based prediction of multi-label protein-protein interactions.
    Tang T; Zhang X; Li W; Wang Q; Liu Y; Cao X
    Comput Biol Med; 2024 Jul; 177():108623. PubMed ID: 38788374
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Structure-aware protein-protein interaction site prediction using deep graph convolutional network.
    Yuan Q; Chen J; Zhao H; Zhou Y; Yang Y
    Bioinformatics; 2021 Dec; 38(1):125-132. PubMed ID: 34498061
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. EmbedDTI: Enhancing the Molecular Representations via Sequence Embedding and Graph Convolutional Network for the Prediction of Drug-Target Interaction.
    Jin Y; Lu J; Shi R; Yang Y
    Biomolecules; 2021 Nov; 11(12):. PubMed ID: 34944427
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.