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Journal Abstract Search

207 related items for PubMed ID: 16789918

  • 1. Prediction of C alpha-H...O and C alpha-H...pi interactions in proteins using recurrent neural network.
    Kaur H, Raghava GP.
    In Silico Biol; 2006; 6(1-2):111-25. PubMed ID: 16789918
    [Abstract] [Full Text] [Related]

  • 2. A neural network method for prediction of beta-turn types in proteins using evolutionary information.
    Kaur H, Raghava GP.
    Bioinformatics; 2004 Nov 01; 20(16):2751-8. PubMed ID: 15145798
    [Abstract] [Full Text] [Related]

  • 3. Role of evolutionary information in prediction of aromatic-backbone NH interactions in proteins.
    Kaur H, Raghava GP.
    FEBS Lett; 2004 Apr 23; 564(1-2):47-57. PubMed ID: 15094041
    [Abstract] [Full Text] [Related]

  • 4. Prediction of alpha-turns in proteins using PSI-BLAST profiles and secondary structure information.
    Kaur H, Raghava GP.
    Proteins; 2004 Apr 01; 55(1):83-90. PubMed ID: 14997542
    [Abstract] [Full Text] [Related]

  • 5. Real value prediction of solvent accessibility in proteins using multiple sequence alignment and secondary structure.
    Garg A, Kaur H, Raghava GP.
    Proteins; 2005 Nov 01; 61(2):318-24. PubMed ID: 16106377
    [Abstract] [Full Text] [Related]

  • 6. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search.
    Garg A, Raghava GP.
    In Silico Biol; 2008 Nov 01; 8(2):129-40. PubMed ID: 18928201
    [Abstract] [Full Text] [Related]

  • 7. Prediction of transmembrane regions of beta-barrel proteins using ANN- and SVM-based methods.
    Natt NK, Kaur H, Raghava GP.
    Proteins; 2004 Jul 01; 56(1):11-8. PubMed ID: 15162482
    [Abstract] [Full Text] [Related]

  • 8. Prediction of continuous B-cell epitopes in an antigen using recurrent neural network.
    Saha S, Raghava GP.
    Proteins; 2006 Oct 01; 65(1):40-8. PubMed ID: 16894596
    [Abstract] [Full Text] [Related]

  • 9. Prediction of beta-turns in proteins from multiple alignment using neural network.
    Kaur H, Raghava GP.
    Protein Sci; 2003 Mar 01; 12(3):627-34. PubMed ID: 12592033
    [Abstract] [Full Text] [Related]

  • 10. C-H...pi-interactions in proteins.
    Brandl M, Weiss MS, Jabs A, Sühnel J, Hilgenfeld R.
    J Mol Biol; 2001 Mar 16; 307(1):357-77. PubMed ID: 11243825
    [Abstract] [Full Text] [Related]

  • 11. ZPRED: predicting the distance to the membrane center for residues in alpha-helical membrane proteins.
    Granseth E, Viklund H, Elofsson A.
    Bioinformatics; 2006 Jul 15; 22(14):e191-6. PubMed ID: 16873471
    [Abstract] [Full Text] [Related]

  • 12. Protein secondary structure prediction using modular reciprocal bidirectional recurrent neural networks.
    Babaei S, Geranmayeh A, Seyyedsalehi SA.
    Comput Methods Programs Biomed; 2010 Dec 15; 100(3):237-47. PubMed ID: 20472322
    [Abstract] [Full Text] [Related]

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  • 17. Protein secondary structure prediction with SPARROW.
    Bettella F, Rasinski D, Knapp EW.
    J Chem Inf Model; 2012 Feb 27; 52(2):545-56. PubMed ID: 22224407
    [Abstract] [Full Text] [Related]

  • 18. Prediction of neurotoxins based on their function and source.
    Saha S, Raghava GP.
    In Silico Biol; 2007 Feb 27; 7(4-5):369-87. PubMed ID: 18391230
    [Abstract] [Full Text] [Related]

  • 19. Prediction of turn types in protein structure by machine-learning classifiers.
    Meissner M, Koch O, Klebe G, Schneider G.
    Proteins; 2009 Feb 01; 74(2):344-52. PubMed ID: 18618702
    [Abstract] [Full Text] [Related]

  • 20. Neural network prediction of 3(10)-helices in proteins.
    Pal L, Basu G.
    Indian J Biochem Biophys; 2001 Feb 01; 38(1-2):107-14. PubMed ID: 11563321
    [Abstract] [Full Text] [Related]

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