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 *

129 related articles for article (PubMed ID: 38039800)

  • 1. GTAMP-DTA: Graph transformer combined with attention mechanism for drug-target binding affinity prediction.
    Tian C; Wang L; Cui Z; Wu H
    Comput Biol Chem; 2024 Feb; 108():107982. PubMed ID: 38039800
    [TBL] [Abstract][Full Text] [Related]  

  • 2. AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism.
    Zhao Q; Duan G; Yang M; Cheng Z; Li Y; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):852-863. PubMed ID: 35471889
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Drug-target affinity prediction method based on multi-scale information interaction and graph optimization.
    Zhu Z; Yao Z; Zheng X; Qi G; Li Y; Mazur N; Gao X; Gong Y; Cong B
    Comput Biol Med; 2023 Dec; 167():107621. PubMed ID: 37907030
    [TBL] [Abstract][Full Text] [Related]  

  • 5. TransVAE-DTA: Transformer and variational autoencoder network for drug-target binding affinity prediction.
    Zhou C; Li Z; Song J; Xiang W
    Comput Methods Programs Biomed; 2024 Feb; 244():108003. PubMed ID: 38181572
    [TBL] [Abstract][Full Text] [Related]  

  • 6. GEFA: Early Fusion Approach in Drug-Target Affinity Prediction.
    Nguyen TM; Nguyen T; Le TM; Tran T
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(2):718-728. PubMed ID: 34197324
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism.
    Wu H; Liu J; Jiang T; Zou Q; Qi S; Cui Z; Tiwari P; Ding Y
    Neural Netw; 2024 Jan; 169():623-636. PubMed ID: 37976593
    [TBL] [Abstract][Full Text] [Related]  

  • 10. GEFormerDTA: drug target affinity prediction based on transformer graph for early fusion.
    Liu Y; Xing L; Zhang L; Cai H; Guo M
    Sci Rep; 2024 Mar; 14(1):7416. PubMed ID: 38548825
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. Learning long- and short-term dependencies for improving drug-target binding affinity prediction using transformer and edge contraction pooling.
    Gao M; Jiang S; Ding W; Xu T; Lyu Z
    J Bioinform Comput Biol; 2024 Feb; 22(1):2350030. PubMed ID: 38567388
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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 Sep; 157():102983. PubMed ID: 39321746
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DTITR: End-to-end drug-target binding affinity prediction with transformers.
    Monteiro NRC; Oliveira JL; Arrais JP
    Comput Biol Med; 2022 Aug; 147():105772. PubMed ID: 35777085
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Graph-sequence attention and transformer for predicting drug-target affinity.
    Yan X; Liu Y
    RSC Adv; 2022 Oct; 12(45):29525-29534. PubMed ID: 36320763
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of Drug-Target Affinity Using Attention Neural Network.
    Tang X; Lei X; Zhang Y
    Int J Mol Sci; 2024 May; 25(10):. PubMed ID: 38791165
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.