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Journal Abstract Search

197 related items for PubMed ID: 23138266

  • 1. De novo prediction of RNA-protein interactions from sequence information.
    Wang Y, Chen X, Liu ZP, Huang Q, Wang Y, Xu D, Zhang XS, Chen R, Chen L.
    Mol Biosyst; 2013 Jan 27; 9(1):133-42. PubMed ID: 23138266
    [Abstract] [Full Text] [Related]

  • 2. Prediction of protein-RNA binding sites by a random forest method with combined features.
    Liu ZP, Wu LY, Wang Y, Zhang XS, Chen L.
    Bioinformatics; 2010 Jul 01; 26(13):1616-22. PubMed ID: 20483814
    [Abstract] [Full Text] [Related]

  • 3. Prediction of RNA-binding residues in proteins from primary sequence using an enriched random forest model with a novel hybrid feature.
    Ma X, Guo J, Wu J, Liu H, Yu J, Xie J, Sun X.
    Proteins; 2011 Apr 01; 79(4):1230-9. PubMed ID: 21268114
    [Abstract] [Full Text] [Related]

  • 4. Heterogeneous data integration by tree-augmented naïve Bayes for protein-protein interactions prediction.
    Lin X, Chen XW.
    Proteomics; 2013 Jan 01; 13(2):261-8. PubMed ID: 23112070
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. Applying the Naïve Bayes classifier with kernel density estimation to the prediction of protein-protein interaction sites.
    Murakami Y, Mizuguchi K.
    Bioinformatics; 2010 Aug 01; 26(15):1841-8. PubMed ID: 20529890
    [Abstract] [Full Text] [Related]

  • 7. Identification of RNA-binding sites in proteins by integrating various sequence information.
    Wang CC, Fang Y, Xiao J, Li M.
    Amino Acids; 2011 Jan 01; 40(1):239-48. PubMed ID: 20549269
    [Abstract] [Full Text] [Related]

  • 8. Struct-NB: predicting protein-RNA binding sites using structural features.
    Towfic F, Caragea C, Gemperline DC, Dobbs D, Honavar V.
    Int J Data Min Bioinform; 2010 Jan 01; 4(1):21-43. PubMed ID: 20300450
    [Abstract] [Full Text] [Related]

  • 9. A single gene network accurately predicts phenotypic effects of gene perturbation in Caenorhabditis elegans.
    Lee I, Lehner B, Crombie C, Wong W, Fraser AG, Marcotte EM.
    Nat Genet; 2008 Feb 01; 40(2):181-8. PubMed ID: 18223650
    [Abstract] [Full Text] [Related]

  • 10. A protein-RNA docking benchmark (II): extended set from experimental and homology modeling data.
    Pérez-Cano L, Jiménez-García B, Fernández-Recio J.
    Proteins; 2012 Jul 01; 80(7):1872-82. PubMed ID: 22488990
    [Abstract] [Full Text] [Related]

  • 11. RBRIdent: An algorithm for improved identification of RNA-binding residues in proteins from primary sequences.
    Xiong D, Zeng J, Gong H.
    Proteins; 2015 Jun 01; 83(6):1068-77. PubMed ID: 25846271
    [Abstract] [Full Text] [Related]

  • 12. Assessing the limits of genomic data integration for predicting protein networks.
    Lu LJ, Xia Y, Paccanaro A, Yu H, Gerstein M.
    Genome Res; 2005 Jul 01; 15(7):945-53. PubMed ID: 15998909
    [Abstract] [Full Text] [Related]

  • 13. Computational Prediction of RNA-Binding Proteins and Binding Sites.
    Si J, Cui J, Cheng J, Wu R.
    Int J Mol Sci; 2015 Nov 03; 16(11):26303-17. PubMed ID: 26540053
    [Abstract] [Full Text] [Related]

  • 14. RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information.
    Yi HC, You ZH, Wang MN, Guo ZH, Wang YB, Zhou JR.
    BMC Bioinformatics; 2020 Feb 18; 21(1):60. PubMed ID: 32070279
    [Abstract] [Full Text] [Related]

  • 15. Molecular biology. RNA interference in the nucleus.
    Meister G.
    Science; 2008 Jul 25; 321(5888):496-7. PubMed ID: 18653868
    [No Abstract] [Full Text] [Related]

  • 16. Predicting protein-binding RNA nucleotides using the feature-based removal of data redundancy and the interaction propensity of nucleotide triplets.
    Choi S, Han K.
    Comput Biol Med; 2013 Nov 25; 43(11):1687-97. PubMed ID: 24209914
    [Abstract] [Full Text] [Related]

  • 17. Kernel methods for predicting protein-protein interactions.
    Ben-Hur A, Noble WS.
    Bioinformatics; 2005 Jun 25; 21 Suppl 1():i38-46. PubMed ID: 15961482
    [Abstract] [Full Text] [Related]

  • 18. Optimal protein-RNA area, OPRA: a propensity-based method to identify RNA-binding sites on proteins.
    Pérez-Cano L, Fernández-Recio J.
    Proteins; 2010 Jan 25; 78(1):25-35. PubMed ID: 19714772
    [Abstract] [Full Text] [Related]

  • 19. Prediction of subcellular location apoptosis proteins with ensemble classifier and feature selection.
    Gu Q, Ding YS, Jiang XY, Zhang TL.
    Amino Acids; 2010 Apr 25; 38(4):975-83. PubMed ID: 19048186
    [Abstract] [Full Text] [Related]

  • 20. Predicting DNA-binding sites of proteins from amino acid sequence.
    Yan C, Terribilini M, Wu F, Jernigan RL, Dobbs D, Honavar V.
    BMC Bioinformatics; 2006 May 19; 7():262. PubMed ID: 16712732
    [Abstract] [Full Text] [Related]

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