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Journal Abstract Search

191 related items for PubMed ID: 25300367

  • 1. Spotlite: web application and augmented algorithms for predicting co-complexed proteins from affinity purification--mass spectrometry data.
    Goldfarb D, Hast BE, Wang W, Major MB.
    J Proteome Res; 2014 Dec 05; 13(12):5944-55. PubMed ID: 25300367
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  • 4. 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
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  • 5. Predicting RNA-protein interactions using only sequence information.
    Muppirala UK, Honavar VG, Dobbs D.
    BMC Bioinformatics; 2011 Dec 22; 12():489. PubMed ID: 22192482
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  • 9. SAINT: probabilistic scoring of affinity purification-mass spectrometry data.
    Choi H, Larsen B, Lin ZY, Breitkreutz A, Mellacheruvu D, Fermin D, Qin ZS, Tyers M, Gingras AC, Nesvizhskii AI.
    Nat Methods; 2011 Jan 22; 8(1):70-3. PubMed ID: 21131968
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  • 15. 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 22; 5(9):e1000515. PubMed ID: 19779545
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  • 17. SAINT-MS1: protein-protein interaction scoring using label-free intensity data in affinity purification-mass spectrometry experiments.
    Choi H, Glatter T, Gstaiger M, Nesvizhskii AI.
    J Proteome Res; 2012 Apr 06; 11(4):2619-24. PubMed ID: 22352807
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  • 20. Kernel methods for predicting protein-protein interactions.
    Ben-Hur A, Noble WS.
    Bioinformatics; 2005 Jun 06; 21 Suppl 1():i38-46. PubMed ID: 15961482
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