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 *

263 related articles for article (PubMed ID: 39223474)

  • 1. 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; 25(1):287. PubMed ID: 39223474
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.
    Wang S; Sun S; Li Z; Zhang R; Xu J
    PLoS Comput Biol; 2017 Jan; 13(1):e1005324. PubMed ID: 28056090
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Dual graph convolutional neural network for predicting chemical networks.
    Harada S; Akita H; Tsubaki M; Baba Y; Takigawa I; Yamanishi Y; Kashima H
    BMC Bioinformatics; 2020 Apr; 21(Suppl 3):94. PubMed ID: 32321421
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A deep dilated convolutional residual network for predicting interchain contacts of protein homodimers.
    Roy RS; Quadir F; Soltanikazemi E; Cheng J
    Bioinformatics; 2022 Mar; 38(7):1904-1910. PubMed ID: 35134816
    [TBL] [Abstract][Full Text] [Related]  

  • 5. IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction.
    Görmez Y; Sabzekar M; Aydın Z
    Proteins; 2021 Oct; 89(10):1277-1288. PubMed ID: 33993559
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Deep-learning contact-map guided protein structure prediction in CASP13.
    Zheng W; Li Y; Zhang C; Pearce R; Mortuza SM; Zhang Y
    Proteins; 2019 Dec; 87(12):1149-1164. PubMed ID: 31365149
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Development of a graph convolutional neural network model for efficient prediction of protein-ligand binding affinities.
    Son J; Kim D
    PLoS One; 2021; 16(4):e0249404. PubMed ID: 33831016
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Ensembling multiple raw coevolutionary features with deep residual neural networks for contact-map prediction in CASP13.
    Li Y; Zhang C; Bell EW; Yu DJ; Zhang Y
    Proteins; 2019 Dec; 87(12):1082-1091. PubMed ID: 31407406
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13.
    Hou J; Wu T; Cao R; Cheng J
    Proteins; 2019 Dec; 87(12):1165-1178. PubMed ID: 30985027
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting protein-ligand binding residues with deep convolutional neural networks.
    Cui Y; Dong Q; Hong D; Wang X
    BMC Bioinformatics; 2019 Feb; 20(1):93. PubMed ID: 30808287
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Detecting distant-homology protein structures by aligning deep neural-network based contact maps.
    Zheng W; Wuyun Q; Li Y; Mortuza SM; Zhang C; Pearce R; Ruan J; Zhang Y
    PLoS Comput Biol; 2019 Oct; 15(10):e1007411. PubMed ID: 31622328
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combination of deep neural network with attention mechanism enhances the explainability of protein contact prediction.
    Chen C; Wu T; Guo Z; Cheng J
    Proteins; 2021 Jun; 89(6):697-707. PubMed ID: 33538038
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks.
    Li Y; Zhang C; Bell EW; Zheng W; Zhou X; Yu DJ; Zhang Y
    PLoS Comput Biol; 2021 Mar; 17(3):e1008865. PubMed ID: 33770072
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Refined Contact Map Prediction of Peptides Based on GCN and ResNet.
    Gu J; Zhang T; Wu C; Liang Y; Shi X
    Front Genet; 2022; 13():859626. PubMed ID: 35571037
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks.
    Kukic P; Mirabello C; Tradigo G; Walsh I; Veltri P; Pollastri G
    BMC Bioinformatics; 2014 Jan; 15():6. PubMed ID: 24410833
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.