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Journal Abstract Search

313 related items for PubMed ID: 28349426

  • 1. Computational Prediction of RNA-Protein Interactions.
    Mann CM, Muppirala UK, Dobbs D.
    Methods Mol Biol; 2017; 1543():169-185. PubMed ID: 28349426
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. Predicting RNA-protein interactions using only sequence information.
    Muppirala UK, Honavar VG, Dobbs D.
    BMC Bioinformatics; 2011 Dec 22; 12():489. PubMed ID: 22192482
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  • 5. A Computational Approach for the Discovery of Protein-RNA Networks.
    Marchese D, Livi CM, Tartaglia GG.
    Methods Mol Biol; 2016 Dec 22; 1358():29-39. PubMed ID: 26463375
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  • 6. 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 Dec 22; 4(1):21-43. PubMed ID: 20300450
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  • 8. Computational methods for prediction of protein-RNA interactions.
    Puton T, Kozlowski L, Tuszynska I, Rother K, Bujnicki JM.
    J Struct Biol; 2012 Sep 22; 179(3):261-8. PubMed ID: 22019768
    [Abstract] [Full Text] [Related]

  • 9. 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
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  • 10. RNA-binding residues prediction using structural features.
    Ren H, Shen Y.
    BMC Bioinformatics; 2015 Aug 09; 16():249. PubMed ID: 26254826
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  • 12. Predicting protein-binding regions in RNA using nucleotide profiles and compositions.
    Choi D, Park B, Chae H, Lee W, Han K.
    BMC Syst Biol; 2017 Mar 14; 11(Suppl 2):16. PubMed ID: 28361677
    [Abstract] [Full Text] [Related]

  • 13. 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 14; 43(11):1687-97. PubMed ID: 24209914
    [Abstract] [Full Text] [Related]

  • 14. Structure-based analysis of protein-RNA interactions using the program ENTANGLE.
    Allers J, Shamoo Y.
    J Mol Biol; 2001 Aug 03; 311(1):75-86. PubMed ID: 11469858
    [Abstract] [Full Text] [Related]

  • 15. Predicting RNA-binding sites in proteins using the interaction propensity of amino acid triplets.
    Yun MR, Byun Y, Han K.
    Protein Pept Lett; 2010 Sep 03; 17(9):1102-10. PubMed ID: 20509851
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  • 18. CircInteractome: A web tool for exploring circular RNAs and their interacting proteins and microRNAs.
    Dudekula DB, Panda AC, Grammatikakis I, De S, Abdelmohsen K, Gorospe M.
    RNA Biol; 2016 Sep 03; 13(1):34-42. PubMed ID: 26669964
    [Abstract] [Full Text] [Related]

  • 19. RBPPred: predicting RNA-binding proteins from sequence using SVM.
    Zhang X, Liu S.
    Bioinformatics; 2017 Mar 15; 33(6):854-862. PubMed ID: 27993780
    [Abstract] [Full Text] [Related]

  • 20. RPiRLS: Quantitative Predictions of RNA Interacting with Any Protein of Known Sequence.
    Shen WJ, Cui W, Chen D, Zhang J, Xu J.
    Molecules; 2018 Feb 28; 23(3):. PubMed ID: 29495575
    [Abstract] [Full Text] [Related]

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