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Journal Abstract Search

210 related items for PubMed ID: 26438428

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  • 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; 5(9):e1000515. PubMed ID: 19779545
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  • 4. Computational detection of protein complexes in AP-MS experiments.
    Choi H.
    Proteomics; 2012 May; 12(10):1663-8. PubMed ID: 22711593
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  • 7. 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
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  • 8. Computational framework for analysis of prey-prey associations in interaction proteomics identifies novel human protein-protein interactions and networks.
    Saha S, Dazard JE, Xu H, Ewing RM.
    J Proteome Res; 2012 Sep 07; 11(9):4476-87. PubMed ID: 22845868
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  • 9. ROCS: a reproducibility index and confidence score for interaction proteomics studies.
    Dazard JE, Saha S, Ewing RM.
    BMC Bioinformatics; 2012 Jun 08; 13():128. PubMed ID: 22682516
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  • 12. Pre- and post-processing workflow for affinity purification mass spectrometry data.
    Fischer M, Zilkenat S, Gerlach RG, Wagner S, Renard BY.
    J Proteome Res; 2014 May 02; 13(5):2239-49. PubMed ID: 24641689
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  • 14. compleXView: a server for the interpretation of protein abundance and connectivity information to identify protein complexes.
    Solis-Mezarino V, Herzog F.
    Nucleic Acids Res; 2017 Jul 03; 45(W1):W276-W284. PubMed ID: 28498958
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  • 16. The bait compatibility index: computational bait selection for interaction proteomics experiments.
    Saha S, Kaur P, Ewing RM.
    J Proteome Res; 2010 Oct 01; 9(10):4972-81. PubMed ID: 20731387
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