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PUBMED FOR HANDHELDS

Journal Abstract Search


110 related items for PubMed ID: 15706503

  • 1. PreSPI: design and implementation of protein-protein interaction prediction service system.
    Han DS, Kim HS, Jang WH, Lee SD, Suh JK.
    Genome Inform; 2004; 15(2):171-80. PubMed ID: 15706503
    [Abstract] [Full Text] [Related]

  • 2. PreSPI: a domain combination based prediction system for protein-protein interaction.
    Han DS, Kim HS, Jang WH, Lee SD, Suh JK.
    Nucleic Acids Res; 2004; 32(21):6312-20. PubMed ID: 15576357
    [Abstract] [Full Text] [Related]

  • 3. A domain combination based probabilistic framework for protein-protein interaction prediction.
    Han D, Kim HS, Seo J, Jang W.
    Genome Inform; 2003; 14():250-9. PubMed ID: 15706539
    [Abstract] [Full Text] [Related]

  • 4. Inter-species validation for domain combination based protein-protein interaction prediction method.
    Jang WH, Han DS, Kim HS, Lee SD.
    Genome Inform; 2005; 16(2):136-47. PubMed ID: 16901097
    [Abstract] [Full Text] [Related]

  • 5. Large scale statistical prediction of protein-protein interaction by potentially interacting domain (PID) pair.
    Kim WK, Park J, Suh JK.
    Genome Inform; 2002; 13():42-50. PubMed ID: 14571373
    [Abstract] [Full Text] [Related]

  • 6. CABIN: collective analysis of biological interaction networks.
    Singhal M, Domico K.
    Comput Biol Chem; 2007 Jun; 31(3):222-5. PubMed ID: 17500038
    [Abstract] [Full Text] [Related]

  • 7. Computational prediction of protein-protein interactions.
    Obenauer JC, Yaffe MB.
    Methods Mol Biol; 2004 Jun; 261():445-68. PubMed ID: 15064475
    [Abstract] [Full Text] [Related]

  • 8. Probabilistic prediction and ranking of human protein-protein interactions.
    Scott MS, Barton GJ.
    BMC Bioinformatics; 2007 Jul 05; 8():239. PubMed ID: 17615067
    [Abstract] [Full Text] [Related]

  • 9. Computational analysis of human protein interaction networks.
    Ramírez F, Schlicker A, Assenov Y, Lengauer T, Albrecht M.
    Proteomics; 2007 Aug 05; 7(15):2541-52. PubMed ID: 17647236
    [Abstract] [Full Text] [Related]

  • 10. Identification of computational hot spots in protein interfaces: combining solvent accessibility and inter-residue potentials improves the accuracy.
    Tuncbag N, Gursoy A, Keskin O.
    Bioinformatics; 2009 Jun 15; 25(12):1513-20. PubMed ID: 19357097
    [Abstract] [Full Text] [Related]

  • 11. AVID: an integrative framework for discovering functional relationships among proteins.
    Jiang T, Keating AE.
    BMC Bioinformatics; 2005 Jun 01; 6():136. PubMed ID: 15929793
    [Abstract] [Full Text] [Related]

  • 12. Kernel methods for predicting protein-protein interactions.
    Ben-Hur A, Noble WS.
    Bioinformatics; 2005 Jun 01; 21 Suppl 1():i38-46. PubMed ID: 15961482
    [Abstract] [Full Text] [Related]

  • 13. 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
    [Abstract] [Full Text] [Related]

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  • 15. Prediction of protein subcellular localization.
    Yu CS, Chen YC, Lu CH, Hwang JK.
    Proteins; 2006 Aug 15; 64(3):643-51. PubMed ID: 16752418
    [Abstract] [Full Text] [Related]

  • 16. Globally predicting protein functions based on co-expressed protein-protein interaction networks and ontology taxonomy similarities.
    Zhu M, Gao L, Guo Z, Li Y, Wang D, Wang J, Wang C.
    Gene; 2007 Apr 15; 391(1-2):113-9. PubMed ID: 17289301
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  • 20. Evaluation of different domain-based methods in protein interaction prediction.
    Ta HX, Holm L.
    Biochem Biophys Res Commun; 2009 Dec 18; 390(3):357-62. PubMed ID: 19800868
    [Abstract] [Full Text] [Related]


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