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 *

147 related articles for article (PubMed ID: 38181572)

  • 21. A comprehensive review of the recent advances on predicting drug-target affinity based on deep learning.
    Zeng X; Li SJ; Lv SQ; Wen ML; Li Y
    Front Pharmacol; 2024; 15():1375522. PubMed ID: 38628639
    [TBL] [Abstract][Full Text] [Related]  

  • 22. NHGNN-DTA: a node-adaptive hybrid graph neural network for interpretable drug-target binding affinity prediction.
    He H; Chen G; Chen CY
    Bioinformatics; 2023 Jun; 39(6):. PubMed ID: 37252835
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. 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]  

  • 25. 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]  

  • 26. 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]  

  • 27. ColdDTA: Utilizing data augmentation and attention-based feature fusion for drug-target binding affinity prediction.
    Fang K; Zhang Y; Du S; He J
    Comput Biol Med; 2023 Sep; 164():107372. PubMed ID: 37597410
    [TBL] [Abstract][Full Text] [Related]  

  • 28. DGDTA: dynamic graph attention network for predicting drug-target binding affinity.
    Zhai H; Hou H; Luo J; Liu X; Wu Z; Wang J
    BMC Bioinformatics; 2023 Sep; 24(1):367. PubMed ID: 37777712
    [TBL] [Abstract][Full Text] [Related]  

  • 29. MFF-DTA: Multi-scale feature fusion for drug-target affinity prediction.
    Tang X; Ma W; Yang M; Li W
    Methods; 2024 Nov; 231():1-7. PubMed ID: 39218169
    [TBL] [Abstract][Full Text] [Related]  

  • 30. VGAEDTI: drug-target interaction prediction based on variational inference and graph autoencoder.
    Zhang Y; Feng Y; Wu M; Deng Z; Wang S
    BMC Bioinformatics; 2023 Jul; 24(1):278. PubMed ID: 37415176
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. 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]  

  • 33. 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]  

  • 34. Co-VAE: Drug-Target Binding Affinity Prediction by Co-Regularized Variational Autoencoders.
    Li T; Zhao XM; Li L
    IEEE Trans Pattern Anal Mach Intell; 2022 Dec; 44(12):8861-8873. PubMed ID: 34652996
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Prediction of drug protein interactions based on variable scale characteristic pyramid convolution network.
    Chen Y; Zhu Y; Zhang Z; Wang J; Wang C
    Methods; 2023 Mar; 211():42-47. PubMed ID: 36804213
    [TBL] [Abstract][Full Text] [Related]  

  • 37. GraphCL-DTA: A Graph Contrastive Learning With Molecular Semantics for Drug-Target Binding Affinity Prediction.
    Yang X; Yang G; Chu J
    IEEE J Biomed Health Inform; 2024 Aug; 28(8):4544-4552. PubMed ID: 38190664
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Predicting drug-target binding affinity with cross-scale graph contrastive learning.
    Wang J; Xiao Y; Shang X; Peng J
    Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38221904
    [TBL] [Abstract][Full Text] [Related]  

  • 39. MREDTA: A BERT and transformer-based molecular representation encoder for predicting drug-target binding affinity.
    Sun X; Huang J; Fang Y; Jin Y; Wu J; Wang G; Jia J
    FASEB J; 2024 Oct; 38(19):e70083. PubMed ID: 39373982
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 8.