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Journal Abstract Search

214 related items for PubMed ID: 35761175

  • 1. 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
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  • 2. Deep Neural Network and Extreme Gradient Boosting Based Hybrid Classifier for Improved Prediction of Protein-Protein Interaction.
    Mahapatra S, Gupta VR, Sahu SS, Panda G.
    IEEE/ACM Trans Comput Biol Bioinform; 2022 Jun 27; 19(1):155-165. PubMed ID: 33621179
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  • 4. MARPPI: boosting prediction of protein-protein interactions with multi-scale architecture residual network.
    Li X, Han P, Chen W, Gao C, Wang S, Song T, Niu M, Rodriguez-Patón A.
    Brief Bioinform; 2023 Jan 19; 24(1):. PubMed ID: 36502435
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  • 5. A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence.
    Wang X, Wang R, Wei Y, Gui Y.
    Math Biosci; 2019 Jul 19; 313():41-47. PubMed ID: 31029609
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  • 6. GTB-PPI: Predict Protein-protein Interactions Based on L1-regularized Logistic Regression and Gradient Tree Boosting.
    Yu B, Chen C, Zhou H, Liu B, Ma Q.
    Genomics Proteomics Bioinformatics; 2020 Oct 19; 18(5):582-592. PubMed ID: 33515750
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  • 8. Predicting protein-protein interactions using high-quality non-interacting pairs.
    Zhang L, Yu G, Guo M, Wang J.
    BMC Bioinformatics; 2018 Dec 31; 19(Suppl 19):525. PubMed ID: 30598096
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  • 12. Protein-protein interaction prediction based on ordinal regression and recurrent convolutional neural networks.
    Xu W, Gao Y, Wang Y, Guan J.
    BMC Bioinformatics; 2021 Oct 08; 22(Suppl 6):485. PubMed ID: 34625020
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  • 13. Graph-based prediction of Protein-protein interactions with attributed signed graph embedding.
    Yang F, Fan K, Song D, Lin H.
    BMC Bioinformatics; 2020 Jul 21; 21(1):323. PubMed ID: 32693790
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  • 14. DL-PPI: a method on prediction of sequenced protein-protein interaction based on deep learning.
    Wu J, Liu B, Zhang J, Wang Z, Li J.
    BMC Bioinformatics; 2023 Dec 14; 24(1):473. PubMed ID: 38097937
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  • 15. Multimodal deep representation learning for protein interaction identification and protein family classification.
    Zhang D, Kabuka M.
    BMC Bioinformatics; 2019 Dec 02; 20(Suppl 16):531. PubMed ID: 31787089
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  • 16. RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences.
    An JY, You ZH, Meng FR, Xu SJ, Wang Y.
    Int J Mol Sci; 2016 May 18; 17(5):. PubMed ID: 27213337
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  • 17. Improved Prediction of Protein-Protein Interaction Mapping on Homo Sapiens by Using Amino Acid Sequence Features in a Supervised Learning Framework.
    Islam MM, Alam MJ, Ahmed FF, Hasan MM, Mollah MNH.
    Protein Pept Lett; 2021 May 18; 28(1):74-83. PubMed ID: 32520672
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  • 19. Improved prediction of protein-protein interaction using a hybrid of functional-link Siamese neural network and gradient boosting machines.
    Mahapatra S, Sahu SS.
    Brief Bioinform; 2021 Nov 05; 22(6):. PubMed ID: 34245238
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  • 20. 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
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