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 *

984 related articles for article (PubMed ID: 36071406)

  • 1. GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery.
    Lin S; Shi C; Chen J
    BMC Bioinformatics; 2022 Sep; 23(1):367. PubMed ID: 36071406
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Drug-target affinity prediction with extended graph learning-convolutional networks.
    Qi H; Yu T; Yu W; Liu C
    BMC Bioinformatics; 2024 Feb; 25(1):75. PubMed ID: 38365583
    [TBL] [Abstract][Full Text] [Related]  

  • 3. TC-DTA: Predicting Drug-Target Binding Affinity With Transformer and Convolutional Neural Networks.
    Tang X; Zhou Y; Yang M; Li W
    IEEE Trans Nanobioscience; 2024 Oct; 23(4):572-578. PubMed ID: 39133595
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MSGNN-DTA: Multi-Scale Topological Feature Fusion Based on Graph Neural Networks for Drug-Target Binding Affinity Prediction.
    Wang S; Song X; Zhang Y; Zhang K; Liu Y; Ren C; Pang S
    Int J Mol Sci; 2023 May; 24(9):. PubMed ID: 37176031
    [TBL] [Abstract][Full Text] [Related]  

  • 5. ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding.
    Wang J; Wen N; Wang C; Zhao L; Cheng L
    J Cheminform; 2022 Mar; 14(1):14. PubMed ID: 35292100
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MultiscaleDTA: A multiscale-based method with a self-attention mechanism for drug-target binding affinity prediction.
    Chen H; Li D; Liao J; Wei L; Wei L
    Methods; 2022 Nov; 207():103-109. PubMed ID: 36155250
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MMD-DTA: A multi-modal deep learning framework for drug-target binding affinity and binding region prediction.
    Zhang Q; Wei Y; Liao B; Liu L; Zhang S
    IEEE/ACM Trans Comput Biol Bioinform; 2024 Aug; PP():. PubMed ID: 39208057
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting Drug-Target Affinity by Learning Protein Knowledge From Biological Networks.
    Ma W; Zhang S; Li Z; Jiang M; Wang S; Guo N; Li Y; Bi X; Jiang H; Wei Z
    IEEE J Biomed Health Inform; 2023 Apr; 27(4):2128-2137. PubMed ID: 37018115
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Breaking the barriers of data scarcity in drug-target affinity prediction.
    Pei Q; Wu L; Zhu J; Xia Y; Xie S; Qin T; Liu H; Liu TY; Yan R
    Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37903413
    [TBL] [Abstract][Full Text] [Related]  

  • 10. BiComp-DTA: Drug-target binding affinity prediction through complementary biological-related and compression-based featurization approach.
    Kalemati M; Zamani Emani M; Koohi S
    PLoS Comput Biol; 2023 Mar; 19(3):e1011036. PubMed ID: 37000857
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of drug-target binding affinity based on deep learning models.
    Zhang H; Liu X; Cheng W; Wang T; Chen Y
    Comput Biol Med; 2024 May; 174():108435. PubMed ID: 38608327
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SubMDTA: drug target affinity prediction based on substructure extraction and multi-scale features.
    Pan S; Xia L; Xu L; Li Z
    BMC Bioinformatics; 2023 Sep; 24(1):334. PubMed ID: 37679724
    [TBL] [Abstract][Full Text] [Related]  

  • 13. G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction.
    Qiu X; Wang H; Tan X; Fang Z
    Comput Biol Med; 2024 May; 173():108376. PubMed ID: 38552281
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MDF-DTA: A Multi-Dimensional Fusion Approach for Drug-Target Binding Affinity Prediction.
    Ranjan A; Bess A; Alvin C; Mukhopadhyay S
    J Chem Inf Model; 2024 Jul; 64(13):4980-4990. PubMed ID: 38888163
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Drug-target binding affinity prediction using message passing neural network and self supervised learning.
    Xia L; Xu L; Pan S; Niu D; Zhang B; Li Z
    BMC Genomics; 2023 Sep; 24(1):557. PubMed ID: 37730555
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Modality-DTA: Multimodality Fusion Strategy for Drug-Target Affinity Prediction.
    Yang X; Niu Z; Liu Y; Song B; Lu W; Zeng L; Zeng X
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):1200-1210. PubMed ID: 36083952
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DataDTA: a multi-feature and dual-interaction aggregation framework for drug-target binding affinity prediction.
    Zhu Y; Zhao L; Wen N; Wang J; Wang C
    Bioinformatics; 2023 Sep; 39(9):. PubMed ID: 37688568
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SSR-DTA: Substructure-aware multi-layer graph neural networks for drug-target binding affinity prediction.
    Liu Y; Xia X; Gong Y; Song B; Zeng X
    Artif Intell Med; 2024 Nov; 157():102983. PubMed ID: 39321746
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MCL-DTI: using drug multimodal information and bi-directional cross-attention learning method for predicting drug-target interaction.
    Qian Y; Li X; Wu J; Zhang Q
    BMC Bioinformatics; 2023 Aug; 24(1):323. PubMed ID: 37633938
    [TBL] [Abstract][Full Text] [Related]  

  • 20. GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information.
    Liao J; Chen H; Wei L; Wei L
    Comput Biol Med; 2022 Nov; 150():106145. PubMed ID: 37859276
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 50.