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PUBMED FOR HANDHELDS

Journal Abstract Search


190 related items for PubMed ID: 17951832

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  • 2. PPiClust: efficient clustering of 3D protein-protein interaction interfaces.
    Aung Z, Tan SH, Ng SK, Tan KL.
    J Bioinform Comput Biol; 2008 Jun; 6(3):415-33. PubMed ID: 18574857
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  • 4. Characterization and prediction of protein interfaces to infer protein-protein interaction networks.
    Keskin O, Tuncbag N, Gursoy A.
    Curr Pharm Biotechnol; 2008 Apr; 9(2):67-76. PubMed ID: 18393863
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  • 5. Comprehensive inventory of protein complexes in the Protein Data Bank from consistent classification of interfaces.
    Bordner AJ, Gorin AA.
    BMC Bioinformatics; 2008 May 12; 9():234. PubMed ID: 18474114
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  • 6. Predicting 3D structures of protein-protein complexes.
    Vakser IA, Kundrotas P.
    Curr Pharm Biotechnol; 2008 Apr 12; 9(2):57-66. PubMed ID: 18393862
    [Abstract] [Full Text] [Related]

  • 7. BDT: an easy-to-use front-end application for automation of massive docking tasks and complex docking strategies with AutoDock.
    Vaqué M, Arola A, Aliagas C, Pujadas G.
    Bioinformatics; 2006 Jul 15; 22(14):1803-4. PubMed ID: 16720587
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  • 8. Secondary structure based analysis and classification of biological interfaces: identification of binding motifs in protein-protein interactions.
    Guharoy M, Chakrabarti P.
    Bioinformatics; 2007 Aug 01; 23(15):1909-18. PubMed ID: 17510165
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  • 9. Interaction-site prediction for protein complexes: a critical assessment.
    Zhou HX, Qin S.
    Bioinformatics; 2007 Sep 01; 23(17):2203-9. PubMed ID: 17586545
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  • 10. ISIS: interaction sites identified from sequence.
    Ofran Y, Rost B.
    Bioinformatics; 2007 Jan 15; 23(2):e13-6. PubMed ID: 17237081
    [Abstract] [Full Text] [Related]

  • 11. Joint evolutionary trees: a large-scale method to predict protein interfaces based on sequence sampling.
    Engelen S, Trojan LA, Sacquin-Mora S, Lavery R, Carbone A.
    PLoS Comput Biol; 2009 Jan 15; 5(1):e1000267. PubMed ID: 19165315
    [Abstract] [Full Text] [Related]

  • 12. Predicting protein-protein interfaces as clusters of optimal docking area points.
    Arafat Y, Kamruzzaman J, Karmakar GC, Fernandez-Recio J.
    Int J Data Min Bioinform; 2009 Jan 15; 3(1):55-67. PubMed ID: 19432376
    [Abstract] [Full Text] [Related]

  • 13. Conserved residue clusters at protein-protein interfaces and their use in binding site identification.
    Guharoy M, Chakrabarti P.
    BMC Bioinformatics; 2010 May 27; 11():286. PubMed ID: 20507585
    [Abstract] [Full Text] [Related]

  • 14. Clustering protein environments for function prediction: finding PROSITE motifs in 3D.
    Yoon S, Ebert JC, Chung EY, De Micheli G, Altman RB.
    BMC Bioinformatics; 2007 May 22; 8 Suppl 4(Suppl 4):S10. PubMed ID: 17570144
    [Abstract] [Full Text] [Related]

  • 15. Solvated docking: introducing water into the modelling of biomolecular complexes.
    van Dijk AD, Bonvin AM.
    Bioinformatics; 2006 Oct 01; 22(19):2340-7. PubMed ID: 16899489
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  • 19. Optimal clustering for detecting near-native conformations in protein docking.
    Kozakov D, Clodfelter KH, Vajda S, Camacho CJ.
    Biophys J; 2005 Aug 01; 89(2):867-75. PubMed ID: 15908573
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