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Journal Abstract Search

340 related items for PubMed ID: 19669079

  • 1. A mouse protein interactome through combined literature mining with multiple sources of interaction evidence.
    Li X, Cai H, Xu J, Ying S, Zhang Y.
    Amino Acids; 2010 Apr; 38(4):1237-52. PubMed ID: 19669079
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  • 2. Multiple kernel learning in protein-protein interaction extraction from biomedical literature.
    Yang Z, Tang N, Zhang X, Lin H, Li Y, Yang Z.
    Artif Intell Med; 2011 Mar; 51(3):163-73. PubMed ID: 21208788
    [Abstract] [Full Text] [Related]

  • 3. Bayesian methods for predicting interacting protein pairs using domain information.
    Kim I, Liu Y, Zhao H.
    Biometrics; 2007 Sep; 63(3):824-33. PubMed ID: 17825014
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  • 4. Probabilistic prediction and ranking of human protein-protein interactions.
    Scott MS, Barton GJ.
    BMC Bioinformatics; 2007 Jul 05; 8():239. PubMed ID: 17615067
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  • 5. Predicting protein-protein interactions from sequence using correlation coefficient and high-quality interaction dataset.
    Shi MG, Xia JF, Li XL, Huang DS.
    Amino Acids; 2010 Mar 05; 38(3):891-9. PubMed ID: 19387790
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  • 7. SPIDer: Saccharomyces protein-protein interaction database.
    Wu X, Zhu L, Guo J, Fu C, Zhou H, Dong D, Li Z, Zhang DY, Lin K.
    BMC Bioinformatics; 2006 Dec 18; 7 Suppl 5(Suppl 5):S16. PubMed ID: 17254300
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  • 11. Towards the mammalian interactome: Inference of a core mammalian interaction set in mouse.
    Shin CJ, Davis MJ, Ragan MA.
    Proteomics; 2009 Dec 18; 9(23):5256-66. PubMed ID: 19834899
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  • 13. Probabilistic prediction of protein-protein interactions from the protein sequences.
    Chinnasamy A, Mittal A, Sung WK.
    Comput Biol Med; 2006 Oct 18; 36(10):1143-54. PubMed ID: 16253222
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  • 15. Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification.
    Urquiza JM, Rojas I, Pomares H, Herrera J, Florido JP, Valenzuela O, Cepero M.
    Comput Biol Med; 2012 Jun 18; 42(6):639-50. PubMed ID: 22575173
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  • 17. From proteome lists to biological impact--tools and strategies for the analysis of large MS data sets.
    Malik R, Dulla K, Nigg EA, Körner R.
    Proteomics; 2010 Mar 18; 10(6):1270-83. PubMed ID: 20077408
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  • 18. Biomedical events extraction using the hidden vector state model.
    Zhou D, He Y.
    Artif Intell Med; 2011 Nov 18; 53(3):205-13. PubMed ID: 21945347
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  • 19. Interaction networks: from protein functions to drug discovery. A review.
    Chautard E, Thierry-Mieg N, Ricard-Blum S.
    Pathol Biol (Paris); 2009 Jun 18; 57(4):324-33. PubMed ID: 19070972
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  • 20. The Gene Interaction Miner: a new tool for data mining contextual information for protein-protein interaction analysis.
    Ikin A, Riveros C, Moscato P, Mendes A.
    Bioinformatics; 2010 Jan 15; 26(2):283-4. PubMed ID: 19965878
    [Abstract] [Full Text] [Related]

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