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: 37013942)

  • 1. AGAT-PPIS: a novel protein-protein interaction site predictor based on augmented graph attention network with initial residual and identity mapping.
    Zhou Y; Jiang Y; Yang Y
    Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37013942
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Cross-attention PHV: Prediction of human and virus protein-protein interactions using cross-attention-based neural networks.
    Tsukiyama S; Kurata H
    Comput Struct Biotechnol J; 2022; 20():5564-5573. PubMed ID: 36249566
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improving protein-protein interaction site prediction using deep residual neural network.
    Hu J; Dong M; Tang YX; Zhang GJ
    Anal Biochem; 2023 Jun; 670():115132. PubMed ID: 36997014
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. DTiGNN: Learning drug-target embedding from a heterogeneous biological network based on a two-level attention-based graph neural network.
    Muniyappan S; Rayan AXA; Varrieth GT
    Math Biosci Eng; 2023 Mar; 20(5):9530-9571. PubMed ID: 37161255
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method.
    Yang X; Yang S; Li Q; Wuchty S; Zhang Z
    Comput Struct Biotechnol J; 2020; 18():153-161. PubMed ID: 31969974
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Efficient Computational Model for Large-Scale Prediction of Protein-Protein Interactions Based on Accurate and Scalable Graph Embedding.
    Su XR; You ZH; Hu L; Huang YA; Wang Y; Yi HC
    Front Genet; 2021; 12():635451. PubMed ID: 33719344
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Efficient link prediction in the protein-protein interaction network using topological information in a generative adversarial network machine learning model.
    Balogh OM; Benczik B; Horváth A; Pétervári M; Csermely P; Ferdinandy P; Ágg B
    BMC Bioinformatics; 2022 Feb; 23(1):78. PubMed ID: 35183129
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Augmented Graph Neural Network with hierarchical global-based residual connections.
    Rassil A; Chougrad H; Zouaki H
    Neural Netw; 2022 Jun; 150():149-166. PubMed ID: 35313247
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.
    Li J; Chen Q; Hu X; Yuan P; Cui L; Tu L; Cui J; Huang J; Jiang T; Ma X; Yao X; Zhou C; Lu H; Xu J
    Int J Med Inform; 2021 May; 149():104429. PubMed ID: 33647600
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Graph convolutional neural networks with global attention for improved materials property prediction.
    Louis SY; Zhao Y; Nasiri A; Wang X; Song Y; Liu F; Hu J
    Phys Chem Chem Phys; 2020 Aug; 22(32):18141-18148. PubMed ID: 32766627
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences.
    Wang J; Zhang L; Jia L; Ren Y; Yu G
    Int J Mol Sci; 2017 Nov; 18(11):. PubMed ID: 29117139
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.