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PUBMED FOR HANDHELDS

Journal Abstract Search


445 related items for PubMed ID: 24564941

  • 1.
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  • 2. Stringent homology-based prediction of H. sapiens-M. tuberculosis H37Rv protein-protein interactions.
    Zhou H, Gao S, Nguyen NN, Fan M, Jin J, Liu B, Zhao L, Xiong G, Tan M, Li S, Wong L.
    Biol Direct; 2014 Apr 08; 9():5. PubMed ID: 24708540
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4. Prediction of host - pathogen protein interactions between Mycobacterium tuberculosis and Homo sapiens using sequence motifs.
    Huo T, Liu W, Guo Y, Yang C, Lin J, Rao Z.
    BMC Bioinformatics; 2015 Mar 26; 16(1):100. PubMed ID: 25887594
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  • 6. Using structural knowledge in the protein data bank to inform the search for potential host-microbe protein interactions in sequence space: application to Mycobacterium tuberculosis.
    Mahajan G, Mande SC.
    BMC Bioinformatics; 2017 Apr 04; 18(1):201. PubMed ID: 28376709
    [Abstract] [Full Text] [Related]

  • 7. Predicting genome-scale Arabidopsis-Pseudomonas syringae interactome using domain and interolog-based approaches.
    Sahu SS, Weirick T, Kaundal R.
    BMC Bioinformatics; 2014 Apr 04; 15 Suppl 11(Suppl 11):S13. PubMed ID: 25350354
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  • 9. GAIA: a gram-based interaction analysis tool--an approach for identifying interacting domains in yeast.
    Zhang KX, Ouellette BF.
    BMC Bioinformatics; 2009 Jan 30; 10 Suppl 1(Suppl 1):S60. PubMed ID: 19208164
    [Abstract] [Full Text] [Related]

  • 10. Computational prediction of protein interactions related to the invasion of erythrocytes by malarial parasites.
    Liu X, Huang Y, Liang J, Zhang S, Li Y, Wang J, Shen Y, Xu Z, Zhao Y.
    BMC Bioinformatics; 2014 Nov 30; 15(1):393. PubMed ID: 25433733
    [Abstract] [Full Text] [Related]

  • 11. Critical assessment and performance improvement of plant-pathogen protein-protein interaction prediction methods.
    Yang S, Li H, He H, Zhou Y, Zhang Z.
    Brief Bioinform; 2019 Jan 18; 20(1):274-287. PubMed ID: 29028906
    [Abstract] [Full Text] [Related]

  • 12. Global protein-protein interaction network in the human pathogen Mycobacterium tuberculosis H37Rv.
    Wang Y, Cui T, Zhang C, Yang M, Huang Y, Li W, Zhang L, Gao C, He Y, Li Y, Huang F, Zeng J, Huang C, Yang Q, Tian Y, Zhao C, Chen H, Zhang H, He ZG.
    J Proteome Res; 2010 Dec 03; 9(12):6665-77. PubMed ID: 20973567
    [Abstract] [Full Text] [Related]

  • 13. Uncovering New Pathogen-Host Protein-Protein Interactions by Pairwise Structure Similarity.
    Cui T, Li W, Liu L, Huang Q, He ZG.
    PLoS One; 2016 Dec 03; 11(1):e0147612. PubMed ID: 26799490
    [Abstract] [Full Text] [Related]

  • 14. Mycobacterium tuberculosis-THP-1 like macrophages protein-protein interaction map revealed through dual RNA-seq analysis and a computational approach.
    Hkimi C, Kamoun S, Khamessi O, Ghedira K.
    J Med Microbiol; 2024 Feb 03; 73(2):. PubMed ID: 38314675
    [Abstract] [Full Text] [Related]

  • 15. Computational prediction of host-pathogen protein-protein interactions.
    Dyer MD, Murali TM, Sobral BW.
    Bioinformatics; 2007 Jul 01; 23(13):i159-66. PubMed ID: 17646292
    [Abstract] [Full Text] [Related]

  • 16. Conserved host-pathogen PPIs. Globally conserved inter-species bacterial PPIs based conserved host-pathogen interactome derived novel target in C. pseudotuberculosis, C. diphtheriae, M. tuberculosis, C. ulcerans, Y. pestis, and E. coli targeted by Piper betel compounds.
    Barh D, Gupta K, Jain N, Khatri G, León-Sicairos N, Canizalez-Roman A, Tiwari S, Verma A, Rahangdale S, Shah Hassan S, dos Santos AR, Ali A, Guimarães LC, Thiago Jucá Ramos R, Devarapalli P, Barve N, Bakhtiar M, Kumavath R, Ghosh P, Miyoshi A, Silva A, Kumar A, Misra AN, Blum K, Baumbach J, Azevedo V.
    Integr Biol (Camb); 2013 Mar 01; 5(3):495-509. PubMed ID: 23288366
    [Abstract] [Full Text] [Related]

  • 17. 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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