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Journal Abstract Search

389 related items for PubMed ID: 26555698

  • 21. Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources.
    Taghipour S, Zarrineh P, Ganjtabesh M, Nowzari-Dalini A.
    BMC Bioinformatics; 2017 Jan 03; 18(1):10. PubMed ID: 28049415
    [Abstract] [Full Text] [Related]

  • 22. Integrating experimental and literature protein-protein interaction data for protein complex prediction.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Genomics; 2015 Jan 03; 16 Suppl 2(Suppl 2):S4. PubMed ID: 25708571
    [Abstract] [Full Text] [Related]

  • 23. Fitting a geometric graph to a protein-protein interaction network.
    Higham DJ, Rasajski M, Przulj N.
    Bioinformatics; 2008 Apr 15; 24(8):1093-9. PubMed ID: 18344248
    [Abstract] [Full Text] [Related]

  • 24. Analyses of Protein Interaction Networks Using Computational Tools.
    Dong S, Provart NJ.
    Methods Mol Biol; 2018 Apr 15; 1794():97-117. PubMed ID: 29855953
    [Abstract] [Full Text] [Related]

  • 25. Navigating the global protein-protein interaction landscape using iRefWeb.
    Turinsky AL, Razick S, Turner B, Donaldson IM, Wodak SJ.
    Methods Mol Biol; 2014 Apr 15; 1091():315-31. PubMed ID: 24203342
    [Abstract] [Full Text] [Related]

  • 26. Large-scale prediction of human protein-protein interactions from amino acid sequence based on latent topic features.
    Pan XY, Zhang YN, Shen HB.
    J Proteome Res; 2010 Oct 01; 9(10):4992-5001. PubMed ID: 20698572
    [Abstract] [Full Text] [Related]

  • 27. Assessment of protein domain fusions in human protein interaction networks prediction: application to the human kinetochore model.
    Morilla I, Lees JG, Reid AJ, Orengo C, Ranea JA.
    N Biotechnol; 2010 Dec 31; 27(6):755-65. PubMed ID: 20851221
    [Abstract] [Full Text] [Related]

  • 28. Exploring the relationship between hub proteins and drug targets based on GO and intrinsic disorder.
    Fu Y, Guo Y, Wang Y, Luo J, Pu X, Li M, Zhang Z.
    Comput Biol Chem; 2015 Jun 31; 56():41-8. PubMed ID: 25854804
    [Abstract] [Full Text] [Related]

  • 29. A New Method for Predicting Protein Functions From Dynamic Weighted Interactome Networks.
    Zhao B, Wang J, Li M, Li X, Li Y, Wu FX, Pan Y.
    IEEE Trans Nanobioscience; 2016 Mar 31; 15(2):131-9. PubMed ID: 26955047
    [Abstract] [Full Text] [Related]

  • 30. Critical assessment and performance improvement of plant-pathogen protein-protein interaction prediction methods.
    Yang S, Li H, He H, Zhou Y, Zhang Z.
    Brief Bioinform; 2019 Jan 18; 20(1):274-287. PubMed ID: 29028906
    [Abstract] [Full Text] [Related]

  • 31. Assessment of high-confidence protein-protein interactome in yeast.
    Karagoz K, Arga KY.
    Comput Biol Chem; 2013 Aug 18; 45():1-8. PubMed ID: 23608186
    [Abstract] [Full Text] [Related]

  • 32. Identifying protein complexes based on multiple topological structures in PPI networks.
    Chen B, Wu FX.
    IEEE Trans Nanobioscience; 2013 Sep 18; 12(3):165-72. PubMed ID: 23974659
    [Abstract] [Full Text] [Related]

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  • 35. PathPPI: an integrated dataset of human pathways and protein-protein interactions.
    Tang H, Zhong F, Liu W, He F, Xie H.
    Sci China Life Sci; 2015 Jun 18; 58(6):579-89. PubMed ID: 25591449
    [Abstract] [Full Text] [Related]

  • 36. HAPPI: an online database of comprehensive human annotated and predicted protein interactions.
    Chen JY, Mamidipalli S, Huan T.
    BMC Genomics; 2009 Jul 07; 10 Suppl 1(Suppl 1):S16. PubMed ID: 19594875
    [Abstract] [Full Text] [Related]

  • 37. Survey: Enhancing protein complex prediction in PPI networks with GO similarity weighting.
    Price T, Peña FI, Cho YR.
    Interdiscip Sci; 2013 Sep 07; 5(3):196-210. PubMed ID: 24307411
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  • 39. Integration of multiple biological features yields high confidence human protein interactome.
    Karagoz K, Sevimoglu T, Arga KY.
    J Theor Biol; 2016 Aug 21; 403():85-96. PubMed ID: 27196966
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