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Journal Abstract Search

242 related items for PubMed ID: 17645798

  • 1. False positive reduction in protein-protein interaction predictions using gene ontology annotations.
    Mahdavi MA, Lin YH.
    BMC Bioinformatics; 2007 Jul 23; 8():262. PubMed ID: 17645798
    [Abstract] [Full Text] [Related]

  • 2. Utilizing shared interacting domain patterns and Gene Ontology information to improve protein-protein interaction prediction.
    Roslan R, Othman RM, Shah ZA, Kasim S, Asmuni H, Taliba J, Hassan R, Zakaria Z.
    Comput Biol Med; 2010 Jun 23; 40(6):555-64. PubMed ID: 20417930
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4. Comparative analysis and assessment of M. tuberculosis H37Rv protein-protein interaction datasets.
    Zhou H, Wong L.
    BMC Genomics; 2011 Nov 30; 12 Suppl 3(Suppl 3):S20. PubMed ID: 22369691
    [Abstract] [Full Text] [Related]

  • 5. MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure.
    Srihari S, Ning K, Leong HW.
    BMC Bioinformatics; 2010 Oct 12; 11():504. PubMed ID: 20939868
    [Abstract] [Full Text] [Related]

  • 6. A matrix based algorithm for Protein-Protein Interaction prediction using Domain-Domain Associations.
    Binny Priya S, Saha S, Anishetty R, Anishetty S.
    J Theor Biol; 2013 Jun 07; 326():36-42. PubMed ID: 23473859
    [Abstract] [Full Text] [Related]

  • 7. CvManGO, a method for leveraging computational predictions to improve literature-based Gene Ontology annotations.
    Park J, Costanzo MC, Balakrishnan R, Cherry JM, Hong EL.
    Database (Oxford); 2012 Jun 07; 2012():bas001. PubMed ID: 22434836
    [Abstract] [Full Text] [Related]

  • 8. A fast hierarchical clustering algorithm for functional modules discovery in protein interaction networks.
    Wang J, Li M, Chen J, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2011 Jun 07; 8(3):607-20. PubMed ID: 20733244
    [Abstract] [Full Text] [Related]

  • 9. Can simple codon pair usage predict protein-protein interaction?
    Zhou Y, Zhou YS, He F, Song J, Zhang Z.
    Mol Biosyst; 2012 Apr 07; 8(5):1396-404. PubMed ID: 22392100
    [Abstract] [Full Text] [Related]

  • 10. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks.
    Xu B, Guan J.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Apr 07; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 11. Is newer better?--evaluating the effects of data curation on integrated analyses in Saccharomyces cerevisiae.
    James K, Wipat A, Hallinan J.
    Integr Biol (Camb); 2012 Jul 07; 4(7):715-27. PubMed ID: 22526920
    [Abstract] [Full Text] [Related]

  • 12. Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering.
    Theofilatos K, Pavlopoulou N, Papasavvas C, Likothanassis S, Dimitrakopoulos C, Georgopoulos E, Moschopoulos C, Mavroudi S.
    Artif Intell Med; 2015 Mar 07; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 13. Reconstituting protein interaction networks using parameter-dependent domain-domain interactions.
    Memišević V, Wallqvist A, Reifman J.
    BMC Bioinformatics; 2013 May 07; 14():154. PubMed ID: 23651452
    [Abstract] [Full Text] [Related]

  • 14. Increasing confidence of protein interactomes using network topological metrics.
    Chen J, Hsu W, Lee ML, Ng SK.
    Bioinformatics; 2006 Aug 15; 22(16):1998-2004. PubMed ID: 16787971
    [Abstract] [Full Text] [Related]

  • 15. 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]

  • 16. Integrating diverse biological and computational sources for reliable protein-protein interactions.
    Wu M, Li X, Chua HN, Kwoh CK, Ng SK.
    BMC Bioinformatics; 2010 Oct 15; 11 Suppl 7(Suppl 7):S8. PubMed ID: 21106130
    [Abstract] [Full Text] [Related]

  • 17. Handling Noise in Protein Interaction Networks.
    Correia FB, Coelho ED, Oliveira JL, Arrais JP.
    Biomed Res Int; 2019 Oct 15; 2019():8984248. PubMed ID: 31828144
    [Abstract] [Full Text] [Related]

  • 18. Predicting co-complexed protein pairs using genomic and proteomic data integration.
    Zhang LV, Wong SL, King OD, Roth FP.
    BMC Bioinformatics; 2004 Apr 16; 5():38. PubMed ID: 15090078
    [Abstract] [Full Text] [Related]

  • 19. Inference of gene interaction networks using conserved subsequential patterns from multiple time course gene expression datasets.
    Liu Q, Song R, Li J.
    BMC Genomics; 2015 Apr 16; 16 Suppl 12(Suppl 12):S4. PubMed ID: 26681650
    [Abstract] [Full Text] [Related]

  • 20. Global investigation of protein-protein interactions in yeast Saccharomyces cerevisiae using re-occurring short polypeptide sequences.
    Pitre S, North C, Alamgir M, Jessulat M, Chan A, Luo X, Green JR, Dumontier M, Dehne F, Golshani A.
    Nucleic Acids Res; 2008 Aug 16; 36(13):4286-94. PubMed ID: 18586826
    [Abstract] [Full Text] [Related]

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