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PUBMED FOR HANDHELDS

Journal Abstract Search


252 related items for PubMed ID: 25913176

  • 21. PCD-GED: Protein complex detection considering PPI dynamics based on time series gene expression data.
    Lakizadeh A, Jalili S, Marashi SA.
    J Theor Biol; 2015 Aug 07; 378():31-8. PubMed ID: 25934349
    [Abstract] [Full Text] [Related]

  • 22. The multifaceted roles of intrinsic disorder in protein complexes.
    Uversky VN.
    FEBS Lett; 2015 Sep 14; 589(19 Pt A):2498-506. PubMed ID: 26073257
    [Abstract] [Full Text] [Related]

  • 23. Prediction of Protein Interactions by Structural Matching: Prediction of PPI Networks and the Effects of Mutations on PPIs that Combines Sequence and Structural Information.
    Tuncbag N, Keskin O, Nussinov R, Gursoy A.
    Methods Mol Biol; 2017 Sep 14; 1558():255-270. PubMed ID: 28150242
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  • 24. A generative model of identifying informative proteins from dynamic PPI networks.
    Zhang Y, Cheng Y, Jia K, Zhang A.
    Sci China Life Sci; 2014 Nov 14; 57(11):1080-9. PubMed ID: 25331593
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  • 25. Neighbor Affinity-Based Core-Attachment Method to Detect Protein Complexes in Dynamic PPI Networks.
    Lei X, Liang J.
    Molecules; 2017 Jul 24; 22(7):. PubMed ID: 28737728
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  • 26. Prediction of problematic complexes from PPI networks: sparse, embedded, and small complexes.
    Yong CH, Wong L.
    Biol Direct; 2015 Aug 01; 10():40. PubMed ID: 26231465
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  • 27. Protein complex prediction with RNSC.
    King AD, Pržulj N, Jurisica I.
    Methods Mol Biol; 2012 Aug 01; 804():297-312. PubMed ID: 22144160
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  • 28. 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
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  • 29. Protein complex prediction based on simultaneous protein interaction network.
    Jung SH, Hyun B, Jang WH, Hur HY, Han DS.
    Bioinformatics; 2010 Feb 01; 26(3):385-91. PubMed ID: 19965885
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  • 30. Identifying conserved protein complexes between species by constructing interolog networks.
    Nguyen PV, Srihari S, Leong HW.
    BMC Bioinformatics; 2013 Feb 01; 14 Suppl 16(Suppl 16):S8. PubMed ID: 24564762
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  • 31. Identifying protein complexes based on brainstorming strategy.
    Shen X, Zhou J, Yi L, Hu X, He T, Yang J.
    Methods; 2016 Nov 01; 110():44-53. PubMed ID: 27405005
    [Abstract] [Full Text] [Related]

  • 32. A methodology for detecting the orthology signal in a PPI network at a functional complex level.
    Jancura P, Mavridou E, Carrillo-de Santa Pau E, Marchiori E.
    BMC Bioinformatics; 2012 Jun 25; 13 Suppl 10(Suppl 10):S18. PubMed ID: 22759423
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  • 33. Survey: Enhancing protein complex prediction in PPI networks with GO similarity weighting.
    Price T, Peña FI, Cho YR.
    Interdiscip Sci; 2013 Sep 25; 5(3):196-210. PubMed ID: 24307411
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  • 34. Computational structural analysis of protein interactions and networks.
    Hooda Y, Kim PM.
    Proteomics; 2012 May 25; 12(10):1697-705. PubMed ID: 22593000
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  • 35. Computational detection of protein complexes in AP-MS experiments.
    Choi H.
    Proteomics; 2012 May 25; 12(10):1663-8. PubMed ID: 22711593
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  • 36. A least square method based model for identifying protein complexes in protein-protein interaction network.
    Dai Q, Guo M, Guo Y, Liu X, Liu Y, Teng Z.
    Biomed Res Int; 2014 May 25; 2014():720960. PubMed ID: 25405206
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  • 37. Interaction between intrinsically disordered proteins frequently occurs in a human protein-protein interaction network.
    Shimizu K, Toh H.
    J Mol Biol; 2009 Oct 09; 392(5):1253-65. PubMed ID: 19660471
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  • 38. Identifying protein complexes using hybrid properties.
    Chen L, Shi X, Kong X, Zeng Z, Cai YD.
    J Proteome Res; 2009 Nov 09; 8(11):5212-8. PubMed ID: 19764809
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  • 39. Improving protein function prediction using domain and protein complexes in PPI networks.
    Peng W, Wang J, Cai J, Chen L, Li M, Wu FX.
    BMC Syst Biol; 2014 Mar 24; 8():35. PubMed ID: 24655481
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  • 40. Detection of overlapping protein complexes in gene expression, phenotype and pathways of Saccharomyces cerevisiae using Prorank based Fuzzy algorithm.
    Manikandan P, Ramyachitra D, Banupriya D.
    Gene; 2016 Apr 15; 580(2):144-158. PubMed ID: 26809099
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