These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

83 related items for PubMed ID: 25152039

  • 1. Using data fusion for scoring reliability of protein-protein interactions.
    Vazifedoost A, Rahgozar M, Moshiri B, Sadeghi M, Chua HN, Ng SK, Wong L.
    J Bioinform Comput Biol; 2014 Aug; 12(4):1450014. PubMed ID: 25152039
    [Abstract] [Full Text] [Related]

  • 2. Discovering reliable protein interactions from high-throughput experimental data using network topology.
    Chen J, Hsu W, Lee ML, Ng SK.
    Artif Intell Med; 2005 Aug; 35(1-2):37-47. PubMed ID: 16055319
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 5.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 6.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 7.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 8. RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences.
    An JY, You ZH, Meng FR, Xu SJ, Wang Y.
    Int J Mol Sci; 2016 May 18; 17(5):. PubMed ID: 27213337
    [Abstract] [Full Text] [Related]

  • 9.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 10. PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein-Protein Interactions from Protein Sequences.
    Wang Y, You Z, Li X, Chen X, Jiang T, Zhang J.
    Int J Mol Sci; 2017 May 11; 18(5):. PubMed ID: 28492483
    [Abstract] [Full Text] [Related]

  • 11. Protein-protein interactions: detection, reliability assessment and applications.
    Peng X, Wang J, Peng W, Wu FX, Pan Y.
    Brief Bioinform; 2017 Sep 01; 18(5):798-819. PubMed ID: 27444371
    [Abstract] [Full Text] [Related]

  • 12. IIIDB: a database for isoform-isoform interactions and isoform network modules.
    Tseng YT, Li W, Chen CH, Zhang S, Chen JJ, Zhou X, Liu CC.
    BMC Genomics; 2015 Sep 01; 16 Suppl 2(Suppl 2):S10. PubMed ID: 25707505
    [Abstract] [Full Text] [Related]

  • 13. Using Two-dimensional Principal Component Analysis and Rotation Forest for Prediction of Protein-Protein Interactions.
    Wang L, You ZH, Yan X, Xia SX, Liu F, Li LP, Zhang W, Zhou Y.
    Sci Rep; 2018 Aug 27; 8(1):12874. PubMed ID: 30150728
    [Abstract] [Full Text] [Related]

  • 14. Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition.
    Huang YA, You ZH, Chen X, Yan GY.
    BMC Syst Biol; 2016 Dec 23; 10(Suppl 4):120. PubMed ID: 28155718
    [Abstract] [Full Text] [Related]

  • 15. Integration of multiple biological features yields high confidence human protein interactome.
    Karagoz K, Sevimoglu T, Arga KY.
    J Theor Biol; 2016 Aug 21; 403():85-96. PubMed ID: 27196966
    [Abstract] [Full Text] [Related]

  • 16. Prediction of Protein-Protein Interactions by Evidence Combining Methods.
    Chang JW, Zhou YQ, Ul Qamar MT, Chen LL, Ding YD.
    Int J Mol Sci; 2016 Nov 22; 17(11):. PubMed ID: 27879651
    [Abstract] [Full Text] [Related]

  • 17. Increasing the reliability of protein interactomes.
    Chua HN, Wong L.
    Drug Discov Today; 2008 Aug 22; 13(15-16):652-8. PubMed ID: 18595769
    [Abstract] [Full Text] [Related]

  • 18. Predicting protein complexes by data integration of different types of interactions.
    Tan PP, Dargahi D, Pio F.
    Int J Comput Biol Drug Des; 2010 Aug 22; 3(1):19-30. PubMed ID: 20693608
    [Abstract] [Full Text] [Related]

  • 19. Predicted binding site information improves model ranking in protein docking using experimental and computer-generated target structures.
    Maheshwari S, Brylinski M.
    BMC Struct Biol; 2015 Nov 23; 15():23. PubMed ID: 26597230
    [Abstract] [Full Text] [Related]

  • 20. Detecting protein-protein interactions with a novel matrix-based protein sequence representation and support vector machines.
    You ZH, Li J, Gao X, He Z, Zhu L, Lei YK, Ji Z.
    Biomed Res Int; 2015 Nov 23; 2015():867516. PubMed ID: 26000305
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 5.