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PUBMED FOR HANDHELDS

Journal Abstract Search


203 related items for PubMed ID: 19954509

  • 1. Inferring protein function by domain context similarities in protein-protein interaction networks.
    Zhang S, Chen H, Liu K, Sun Z.
    BMC Bioinformatics; 2009 Dec 02; 10():395. PubMed ID: 19954509
    [Abstract] [Full Text] [Related]

  • 2. Improving protein function prediction using domain and protein complexes in PPI networks.
    Peng W, Wang J, Cai J, Chen L, Li M, Wu FX.
    BMC Syst Biol; 2014 Mar 24; 8():35. PubMed ID: 24655481
    [Abstract] [Full Text] [Related]

  • 3. Interaction site prediction by structural similarity to neighboring clusters in protein-protein interaction networks.
    Monji H, Koizumi S, Ozaki T, Ohkawa T.
    BMC Bioinformatics; 2011 Feb 15; 12 Suppl 1(Suppl 1):S39. PubMed ID: 21342570
    [Abstract] [Full Text] [Related]

  • 4. Dynamically searching for a domain for protein function prediction.
    Hou J, Jiang Y.
    J Bioinform Comput Biol; 2013 Aug 15; 11(4):1350008. PubMed ID: 23859272
    [Abstract] [Full Text] [Related]

  • 5. Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines.
    González AJ, Liao L.
    BMC Bioinformatics; 2010 Oct 29; 11():537. PubMed ID: 21034480
    [Abstract] [Full Text] [Related]

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  • 7. Preferential use of protein domain pairs as interaction mediators: order and transitivity.
    Itzhaki Z, Akiva E, Margalit H.
    Bioinformatics; 2010 Oct 15; 26(20):2564-70. PubMed ID: 20802208
    [Abstract] [Full Text] [Related]

  • 8. A computational model for predicting protein interactions based on multidomain collaboration.
    Jang WH, Jung SH, Han DS.
    IEEE/ACM Trans Comput Biol Bioinform; 2012 Oct 15; 9(4):1081-90. PubMed ID: 22508910
    [Abstract] [Full Text] [Related]

  • 9. Homology-based prediction of interactions between proteins using Averaged One-Dependence Estimators.
    Murakami Y, Mizuguchi K.
    BMC Bioinformatics; 2014 Jun 23; 15():213. PubMed ID: 24953126
    [Abstract] [Full Text] [Related]

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  • 11. DomPep--a general method for predicting modular domain-mediated protein-protein interactions.
    Li L, Zhao B, Du J, Zhang K, Ling CX, Li SS.
    PLoS One; 2011 Jun 23; 6(10):e25528. PubMed ID: 22003397
    [Abstract] [Full Text] [Related]

  • 12. HKC: an algorithm to predict protein complexes in protein-protein interaction networks.
    Wang X, Wang Z, Ye J.
    J Biomed Biotechnol; 2011 Jun 23; 2011():480294. PubMed ID: 22174556
    [Abstract] [Full Text] [Related]

  • 13. An integrated approach to the prediction of domain-domain interactions.
    Lee H, Deng M, Sun F, Chen T.
    BMC Bioinformatics; 2006 May 25; 7():269. PubMed ID: 16725050
    [Abstract] [Full Text] [Related]

  • 14. A sampling framework for incorporating quantitative mass spectrometry data in protein interaction analysis.
    Tucker G, Loh PR, Berger B.
    BMC Bioinformatics; 2013 Oct 04; 14():299. PubMed ID: 24093595
    [Abstract] [Full Text] [Related]

  • 15. Identification of protein complexes from multi-relationship protein interaction networks.
    Li X, Wang J, Zhao B, Wu FX, Pan Y.
    Hum Genomics; 2016 Jul 25; 10 Suppl 2(Suppl 2):17. PubMed ID: 27461193
    [Abstract] [Full Text] [Related]

  • 16. Triangle network motifs predict complexes by complementing high-error interactomes with structural information.
    Andreopoulos B, Winter C, Labudde D, Schroeder M.
    BMC Bioinformatics; 2009 Jun 27; 10():196. PubMed ID: 19558694
    [Abstract] [Full Text] [Related]

  • 17. Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization.
    Wu Q, Wang Z, Li C, Ye Y, Li Y, Sun N.
    BMC Syst Biol; 2015 Jun 27; 9 Suppl 1(Suppl 1):S9. PubMed ID: 25708164
    [Abstract] [Full Text] [Related]

  • 18. Protein complex prediction based on simultaneous protein interaction network.
    Jung SH, Hyun B, Jang WH, Hur HY, Han DS.
    Bioinformatics; 2010 Feb 01; 26(3):385-91. PubMed ID: 19965885
    [Abstract] [Full Text] [Related]

  • 19. Integration of anatomy ontology data with protein-protein interaction networks improves the candidate gene prediction accuracy for anatomical entities.
    Fernando PC, Mabee PM, Zeng E.
    BMC Bioinformatics; 2020 Oct 07; 21(1):442. PubMed ID: 33028186
    [Abstract] [Full Text] [Related]

  • 20. Integration of genomic data for inferring protein complexes from global protein-protein interaction networks.
    Zheng H, Wang H, Glass DH.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Feb 07; 38(1):5-16. PubMed ID: 18270078
    [Abstract] [Full Text] [Related]


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