BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

212 related articles for article (PubMed ID: 32462178)

  • 21. Predicting compound-protein interaction using hierarchical graph convolutional networks.
    Bui-Thi D; Rivière E; Meysman P; Laukens K
    PLoS One; 2022; 17(7):e0258628. PubMed ID: 35862351
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. 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]  

  • 24. Convolutional Neural Networks for ATC Classification.
    Lumini A; Nanni L
    Curr Pharm Des; 2018; 24(34):4007-4012. PubMed ID: 30417778
    [TBL] [Abstract][Full Text] [Related]  

  • 25. CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.
    Xuan P; Sheng N; Zhang T; Liu Y; Guo Y
    Int J Mol Sci; 2019 Aug; 20(17):. PubMed ID: 31480319
    [TBL] [Abstract][Full Text] [Related]  

  • 26. MDL-CPI: Multi-view deep learning model for compound-protein interaction prediction.
    Wei L; Long W; Wei L
    Methods; 2022 Aug; 204():418-427. PubMed ID: 35114401
    [TBL] [Abstract][Full Text] [Related]  

  • 27. IIFDTI: predicting drug-target interactions through interactive and independent features based on attention mechanism.
    Cheng Z; Zhao Q; Li Y; Wang J
    Bioinformatics; 2022 Sep; 38(17):4153-4161. PubMed ID: 35801934
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. 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]  

  • 30. TEFDTA: a transformer encoder and fingerprint representation combined prediction method for bonded and non-bonded drug-target affinities.
    Li Z; Ren P; Yang H; Zheng J; Bai F
    Bioinformatics; 2024 Jan; 40(1):. PubMed ID: 38141210
    [TBL] [Abstract][Full Text] [Related]  

  • 31. FRnet-DTI: Deep convolutional neural network for drug-target interaction prediction.
    Rayhan F; Ahmed S; Mousavian Z; Farid DM; Shatabda S
    Heliyon; 2020 Mar; 6(3):e03444. PubMed ID: 32154410
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network.
    Peng J; Li J; Shang X
    BMC Bioinformatics; 2020 Sep; 21(Suppl 13):394. PubMed ID: 32938374
    [TBL] [Abstract][Full Text] [Related]  

  • 33. QPoweredCompound2DeNovoDrugPropMax - a novel programmatic tool incorporating deep learning and
    Geoffrey A S B; Madaj R; Valluri PP
    J Biomol Struct Dyn; 2023 Mar; 41(5):1790-1797. PubMed ID: 35007471
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Attention mechanism enhanced LSTM with residual architecture and its application for protein-protein interaction residue pairs prediction.
    Liu J; Gong X
    BMC Bioinformatics; 2019 Nov; 20(1):609. PubMed ID: 31775612
    [TBL] [Abstract][Full Text] [Related]  

  • 35. GCRNN: graph convolutional recurrent neural network for compound-protein interaction prediction.
    Elbasani E; Njimbouom SN; Oh TJ; Kim EH; Lee H; Kim JD
    BMC Bioinformatics; 2022 Jan; 22(Suppl 5):616. PubMed ID: 35016607
    [TBL] [Abstract][Full Text] [Related]  

  • 36. CPGL: Prediction of Compound-Protein Interaction by Integrating Graph Attention Network With Long Short-Term Memory Neural Network.
    Zhao M; Yuan M; Yang Y; Xu SX
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(3):1935-1942. PubMed ID: 36445995
    [TBL] [Abstract][Full Text] [Related]  

  • 37. HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction.
    Kyro GW; Brent RI; Batista VS
    J Chem Inf Model; 2023 Apr; 63(7):1947-1960. PubMed ID: 36988912
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Cross-Cell-Type Prediction of TF-Binding Site by Integrating Convolutional Neural Network and Adversarial Network.
    Lan G; Zhou J; Xu R; Lu Q; Wang H
    Int J Mol Sci; 2019 Jul; 20(14):. PubMed ID: 31336830
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
    Wachinger C; Reuter M; Klein T
    Neuroimage; 2018 Apr; 170():434-445. PubMed ID: 28223187
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.