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Journal Abstract Search

116 related items for PubMed ID: 29028065

  • 1. A Bayesian approach for estimating protein-protein interactions by integrating structural and non-structural biological data.
    Ur Rehman H, Bari I, Ali A, Mahmood H.
    Mol Biosyst; 2017 Nov 21; 13(12):2592-2602. PubMed ID: 29028065
    [Abstract] [Full Text] [Related]

  • 2. A novel scoring approach for protein co-purification data reveals high interaction specificity.
    Yu X, Ivanic J, Wallqvist A, Reifman J.
    PLoS Comput Biol; 2009 Sep 21; 5(9):e1000515. PubMed ID: 19779545
    [Abstract] [Full Text] [Related]

  • 3. Structure-based prediction of protein-protein interactions on a genome-wide scale.
    Zhang QC, Petrey D, Deng L, Qiang L, Shi Y, Thu CA, Bisikirska B, Lefebvre C, Accili D, Hunter T, Maniatis T, Califano A, Honig B.
    Nature; 2012 Oct 25; 490(7421):556-60. PubMed ID: 23023127
    [Abstract] [Full Text] [Related]

  • 4. 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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  • 5. Estimating the parameters of a model for protein-protein interaction graphs.
    Deshmukh V, Cannings C, Thomas A.
    Math Med Biol; 2006 Dec 25; 23(4):279-95. PubMed ID: 16857705
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  • 6. Identifying binary protein-protein interactions from affinity purification mass spectrometry data.
    Zhang XF, Ou-Yang L, Hu X, Dai DQ.
    BMC Genomics; 2015 Oct 05; 16():745. PubMed ID: 26438428
    [Abstract] [Full Text] [Related]

  • 7. Predicting protein-protein interactions from multimodal biological data sources via nonnegative matrix tri-factorization.
    Wang H, Huang H, Ding C, Nie F.
    J Comput Biol; 2013 Apr 05; 20(4):344-58. PubMed ID: 23509857
    [Abstract] [Full Text] [Related]

  • 8. A sampling framework for incorporating quantitative mass spectrometry data in protein interaction analysis.
    Tucker G, Loh PR, Berger B.
    BMC Bioinformatics; 2013 Oct 04; 14():299. PubMed ID: 24093595
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  • 9. From pull-down data to protein interaction networks and complexes with biological relevance.
    Zhang B, Park BH, Karpinets T, Samatova NF.
    Bioinformatics; 2008 Apr 01; 24(7):979-86. PubMed ID: 18304937
    [Abstract] [Full Text] [Related]

  • 10. Predicting co-complexed protein pairs using genomic and proteomic data integration.
    Zhang LV, Wong SL, King OD, Roth FP.
    BMC Bioinformatics; 2004 Apr 16; 5():38. PubMed ID: 15090078
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  • 11. Popular computational methods to assess multiprotein complexes derived from label-free affinity purification and mass spectrometry (AP-MS) experiments.
    Armean IM, Lilley KS, Trotter MW.
    Mol Cell Proteomics; 2013 Jan 16; 12(1):1-13. PubMed ID: 23071097
    [Abstract] [Full Text] [Related]

  • 12. Predicting peptide-mediated interactions on a genome-wide scale.
    Chen TS, Petrey D, Garzon JI, Honig B.
    PLoS Comput Biol; 2015 May 16; 11(5):e1004248. PubMed ID: 25938916
    [Abstract] [Full Text] [Related]

  • 13. Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.
    Li ZW, You ZH, Chen X, Li LP, Huang DS, Yan GY, Nie R, Huang YA.
    Oncotarget; 2017 Apr 04; 8(14):23638-23649. PubMed ID: 28423569
    [Abstract] [Full Text] [Related]

  • 14. A Bayesian Framework for Combining Protein and Network Topology Information for Predicting Protein-Protein Interactions.
    Birlutiu A, d'Alché-Buc F, Heskes T.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Apr 04; 12(3):538-50. PubMed ID: 26357265
    [Abstract] [Full Text] [Related]

  • 15. Mapping Protein-Protein Interaction Using High-Throughput Yeast 2-Hybrid.
    Lopez J, Mukhtar MS.
    Methods Mol Biol; 2017 Apr 04; 1610():217-230. PubMed ID: 28439866
    [Abstract] [Full Text] [Related]

  • 16. Heterogeneous data integration by tree-augmented naïve Bayes for protein-protein interactions prediction.
    Lin X, Chen XW.
    Proteomics; 2013 Jan 04; 13(2):261-8. PubMed ID: 23112070
    [Abstract] [Full Text] [Related]

  • 17. A high-accuracy consensus map of yeast protein complexes reveals modular nature of gene essentiality.
    Hart GT, Lee I, Marcotte ER.
    BMC Bioinformatics; 2007 Jul 02; 8():236. PubMed ID: 17605818
    [Abstract] [Full Text] [Related]

  • 18. Bayesian methods for predicting interacting protein pairs using domain information.
    Kim I, Liu Y, Zhao H.
    Biometrics; 2007 Sep 02; 63(3):824-33. PubMed ID: 17825014
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  • 19. Affinity-purification coupled to mass spectrometry: basic principles and strategies.
    Dunham WH, Mullin M, Gingras AC.
    Proteomics; 2012 May 02; 12(10):1576-90. PubMed ID: 22611051
    [Abstract] [Full Text] [Related]

  • 20. Evaluation of clustering algorithms for protein-protein interaction networks.
    Brohée S, van Helden J.
    BMC Bioinformatics; 2006 Nov 06; 7():488. PubMed ID: 17087821
    [Abstract] [Full Text] [Related]

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