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Journal Abstract Search

397 related items for PubMed ID: 33154416

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  • 6. Protein features fusion using attributed network embedding for predicting protein-protein interaction.
    Cao MY, Zainudin S, Daud KM.
    BMC Genomics; 2024 May 13; 25(1):466. PubMed ID: 38741045
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  • 7. Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences.
    Wang J, Zhang L, Jia L, Ren Y, Yu G.
    Int J Mol Sci; 2017 Nov 08; 18(11):. PubMed ID: 29117139
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  • 8. Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition.
    Huang YA, You ZH, Chen X, Yan GY.
    BMC Syst Biol; 2016 Dec 23; 10(Suppl 4):120. PubMed ID: 28155718
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  • 9. Predicting protein-protein interactions from protein sequences by a stacked sparse autoencoder deep neural network.
    Wang YB, You ZH, Li X, Jiang TH, Chen X, Zhou X, Wang L.
    Mol Biosyst; 2017 Jun 27; 13(7):1336-1344. PubMed ID: 28604872
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  • 10. 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. Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information.
    Li J, Shi X, You ZH, Yi HC, Chen Z, Lin Q, Fang M.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 Dec 31; 17(5):1546-1554. PubMed ID: 31940546
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  • 15. Homology-based prediction of interactions between proteins using Averaged One-Dependence Estimators.
    Murakami Y, Mizuguchi K.
    BMC Bioinformatics; 2014 Jun 23; 15():213. PubMed ID: 24953126
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  • 16. 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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  • 17. Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach.
    Tian B, Wu X, Chen C, Qiu W, Ma Q, Yu B.
    J Theor Biol; 2019 Feb 07; 462():329-346. PubMed ID: 30452960
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  • 18. Prediction of residue-residue contact matrix for protein-protein interaction with Fisher score features and deep learning.
    Du T, Liao L, Wu CH, Sun B.
    Methods; 2016 Nov 01; 110():97-105. PubMed ID: 27282356
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  • 19. 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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  • 20. 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
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