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Journal Abstract Search

125 related items for PubMed ID: 38536676

  • 1. Exploring the Knowledge of an Outstanding Protein to Protein Interaction Transformer.
    Yang S, Cheng P, Liu Y, Feng D, Wang S.
    IEEE/ACM Trans Comput Biol Bioinform; 2024; 21(5):1287-1298. PubMed ID: 38536676
    [Abstract] [Full Text] [Related]

  • 2. TUnA: an uncertainty-aware transformer model for sequence-based protein-protein interaction prediction.
    Ko YS, Parkinson J, Liu C, Wang W.
    Brief Bioinform; 2024 Jul 25; 25(5):. PubMed ID: 39051117
    [Abstract] [Full Text] [Related]

  • 3. Protein-Protein Interaction Prediction via Structure-Based Deep Learning.
    Liu Y, Liu Y, Li Z.
    Proteins; 2024 Nov 25; 92(11):1287-1296. PubMed ID: 38923590
    [Abstract] [Full Text] [Related]

  • 4. Predicting protein-protein interactions through sequence-based deep learning.
    Hashemifar S, Neyshabur B, Khan AA, Xu J.
    Bioinformatics; 2018 Sep 01; 34(17):i802-i810. PubMed ID: 30423091
    [Abstract] [Full Text] [Related]

  • 5. Hierarchical graph learning for protein-protein interaction.
    Gao Z, Jiang C, Zhang J, Jiang X, Li L, Zhao P, Yang H, Huang Y, Li J.
    Nat Commun; 2023 Feb 25; 14(1):1093. PubMed ID: 36841846
    [Abstract] [Full Text] [Related]

  • 6. Prediction of Protein-Protein Interaction via co-occurring Aligned Pattern Clusters.
    Sze-To A, Fung S, Lee EA, Wong AKC.
    Methods; 2016 Nov 01; 110():26-34. PubMed ID: 27476008
    [Abstract] [Full Text] [Related]

  • 7. CollaPPI: A Collaborative Learning Framework for Predicting Protein-Protein Interactions.
    Ma W, Bi X, Jiang H, Zhang S, Wei Z.
    IEEE J Biomed Health Inform; 2024 May 01; 28(5):3167-3177. PubMed ID: 38466584
    [Abstract] [Full Text] [Related]

  • 8. LSTM-PHV: prediction of human-virus protein-protein interactions by LSTM with word2vec.
    Tsukiyama S, Hasan MM, Fujii S, Kurata H.
    Brief Bioinform; 2021 Nov 05; 22(6):. PubMed ID: 34160596
    [Abstract] [Full Text] [Related]

  • 9. The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction.
    Fang Y, Sun M, Dai G, Ramain K.
    IEEE/ACM Trans Comput Biol Bioinform; 2016 Nov 05; 13(1):76-85. PubMed ID: 26886733
    [Abstract] [Full Text] [Related]

  • 10. 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 05; 177():108669. PubMed ID: 38833802
    [Abstract] [Full Text] [Related]

  • 11. Predicted binding site information improves model ranking in protein docking using experimental and computer-generated target structures.
    Maheshwari S, Brylinski M.
    BMC Struct Biol; 2015 Nov 23; 15():23. PubMed ID: 26597230
    [Abstract] [Full Text] [Related]

  • 12. SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction.
    Li X, Han P, Wang G, Chen W, Wang S, Song T.
    BMC Genomics; 2022 Jun 27; 23(1):474. PubMed ID: 35761175
    [Abstract] [Full Text] [Related]

  • 13. Analyses of Protein Interaction Networks Using Computational Tools.
    Dong S, Provart NJ.
    Methods Mol Biol; 2018 Jun 27; 1794():97-117. PubMed ID: 29855953
    [Abstract] [Full Text] [Related]

  • 14. MEG-PPIS: a fast protein-protein interaction site prediction method based on multi-scale graph information and equivariant graph neural network.
    Ding H, Li X, Han P, Tian X, Jing F, Wang S, Song T, Fu H, Kang N.
    Bioinformatics; 2024 Jan 05; 40(5):. PubMed ID: 38640481
    [Abstract] [Full Text] [Related]

  • 15. MEGADOCK-Web: an integrated database of high-throughput structure-based protein-protein interaction predictions.
    Hayashi T, Matsuzaki Y, Yanagisawa K, Ohue M, Akiyama Y.
    BMC Bioinformatics; 2018 May 08; 19(Suppl 4):62. PubMed ID: 29745830
    [Abstract] [Full Text] [Related]

  • 16. Protein-Protein Interfaces: A Graph Neural Network Approach.
    Pancino N, Gallegati C, Romagnoli F, Bongini P, Bianchini M.
    Int J Mol Sci; 2024 May 28; 25(11):. PubMed ID: 38892057
    [Abstract] [Full Text] [Related]

  • 17. Predicting Protein-Protein Interactions Using SPRINT.
    Li Y, Ilie L.
    Methods Mol Biol; 2020 May 28; 2074():1-11. PubMed ID: 31583626
    [Abstract] [Full Text] [Related]

  • 18. Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine.
    Lei H, Wen Y, You Z, Elazab A, Tan EL, Zhao Y, Lei B.
    IEEE J Biomed Health Inform; 2019 May 28; 23(3):1290-1303. PubMed ID: 29994278
    [Abstract] [Full Text] [Related]

  • 19. PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel.
    Wang X, Yang W, Yang Y, He Y, Zhang J, Wang L, Hu L.
    IEEE/ACM Trans Comput Biol Bioinform; 2023 May 28; 20(2):1606-1612. PubMed ID: 35939453
    [Abstract] [Full Text] [Related]

  • 20. Amalgamation of 3D structure and sequence information for protein-protein interaction prediction.
    Jha K, Saha S.
    Sci Rep; 2020 Nov 05; 10(1):19171. PubMed ID: 33154416
    [Abstract] [Full Text] [Related]

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