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Journal Abstract Search

309 related items for PubMed ID: 30441473

  • 1. Improving the Detection of Protein Complexes by Predicting Novel Missing Interactome Links in the Protein-Protein Interaction Network.
    Zaki N, Alashwal H.
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5041-5044. PubMed ID: 30441473
    [Abstract] [Full Text] [Related]

  • 2. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks.
    Xu B, Guan J.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Jul; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 3. A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.
    Ou-Yang L, Yan H, Zhang XF.
    BMC Bioinformatics; 2017 Dec 01; 18(Suppl 13):463. PubMed ID: 29219066
    [Abstract] [Full Text] [Related]

  • 4. Machine-learning techniques for the prediction of protein-protein interactions.
    Sarkar D, Saha S.
    J Biosci; 2019 Sep 01; 44(4):. PubMed ID: 31502581
    [Abstract] [Full Text] [Related]

  • 5. Mycobacterium tuberculosis and Clostridium difficille interactomes: demonstration of rapid development of computational system for bacterial interactome prediction.
    Ananthasubramanian S, Metri R, Khetan A, Gupta A, Handen A, Chandra N, Ganapathiraju M.
    Microb Inform Exp; 2012 Mar 21; 2():4. PubMed ID: 22587966
    [Abstract] [Full Text] [Related]

  • 6. Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks.
    Sahoo TR, Patra S, Vipsita S.
    Comput Biol Chem; 2023 Oct 21; 106():107935. PubMed ID: 37536230
    [Abstract] [Full Text] [Related]

  • 7. Comparative analysis and assessment of M. tuberculosis H37Rv protein-protein interaction datasets.
    Zhou H, Wong L.
    BMC Genomics; 2011 Nov 30; 12 Suppl 3(Suppl 3):S20. PubMed ID: 22369691
    [Abstract] [Full Text] [Related]

  • 8. Predicting Protein-Protein Interactions Using SPRINT.
    Li Y, Ilie L.
    Methods Mol Biol; 2020 Nov 30; 2074():1-11. PubMed ID: 31583626
    [Abstract] [Full Text] [Related]

  • 9. Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding.
    Zhu L, Deng SP, You ZH, Huang DS.
    IEEE/ACM Trans Comput Biol Bioinform; 2017 Nov 30; 14(2):345-352. PubMed ID: 28368812
    [Abstract] [Full Text] [Related]

  • 10. Efficient link prediction in the protein-protein interaction network using topological information in a generative adversarial network machine learning model.
    Balogh OM, Benczik B, Horváth A, Pétervári M, Csermely P, Ferdinandy P, Ágg B.
    BMC Bioinformatics; 2022 Feb 19; 23(1):78. PubMed ID: 35183129
    [Abstract] [Full Text] [Related]

  • 11. Graph embedding-based novel protein interaction prediction via higher-order graph convolutional network.
    Xiao Z, Deng Y.
    PLoS One; 2020 Feb 19; 15(9):e0238915. PubMed ID: 32970681
    [Abstract] [Full Text] [Related]

  • 12. Completing sparse and disconnected protein-protein network by deep learning.
    Huang L, Liao L, Wu CH.
    BMC Bioinformatics; 2018 Mar 22; 19(1):103. PubMed ID: 29566671
    [Abstract] [Full Text] [Related]

  • 13. 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 Mar 22; 13(1):76-85. PubMed ID: 26886733
    [Abstract] [Full Text] [Related]

  • 14. Protein Complexes Detection Based on Semi-Supervised Network Embedding Model.
    Zhu J, Zheng Z, Yang M, Fung GPC, Huang C.
    IEEE/ACM Trans Comput Biol Bioinform; 2021 Mar 22; 18(2):797-803. PubMed ID: 31581089
    [Abstract] [Full Text] [Related]

  • 15. Identifying protein complexes by reducing noise in interaction networks.
    Liao B, Fu X, Cai L, Chen H.
    Protein Pept Lett; 2014 Jul 22; 21(7):688-95. PubMed ID: 24654850
    [Abstract] [Full Text] [Related]

  • 16. Combining SVM and ECOC for Identification of Protein Complexes from Protein Protein Interaction Networks by Integrating Amino Acids' Physical Properties and Complex Topology.
    Faridoon A, Sikandar A, Imran M, Ghouri S, Sikandar M, Sikandar W.
    Interdiscip Sci; 2020 Sep 22; 12(3):264-275. PubMed ID: 32441001
    [Abstract] [Full Text] [Related]

  • 17. Ens-PPI: A Novel Ensemble Classifier for Predicting the Interactions of Proteins Using Autocovariance Transformation from PSSM.
    Gao ZG, Wang L, Xia SX, You ZH, Yan X, Zhou Y.
    Biomed Res Int; 2016 Sep 22; 2016():4563524. PubMed ID: 27437399
    [Abstract] [Full Text] [Related]

  • 18. A Two-Stage Geometric Method for Pruning Unreliable Links in Protein-Protein Networks.
    Zhu L, Deng SP, Huang DS.
    IEEE Trans Nanobioscience; 2015 Jul 22; 14(5):528-34. PubMed ID: 25861086
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  • 19. An integrative C. elegans protein-protein interaction network with reliability assessment based on a probabilistic graphical model.
    Huang XT, Zhu Y, Chan LL, Zhao Z, Yan H.
    Mol Biosyst; 2016 Jan 22; 12(1):85-92. PubMed ID: 26555698
    [Abstract] [Full Text] [Related]

  • 20. MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm.
    Cao B, Luo J, Liang C, Wang S, Song D.
    Comput Biol Chem; 2015 Oct 22; 58():173-81. PubMed ID: 26298638
    [Abstract] [Full Text] [Related]

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