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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

86 related articles for article (PubMed ID: 19928342)

  • 1. A novel approach to prediction of the 3-dimensional structures of protein backbones by neural networks.
    Bohr H; Bohr J; Brunak S; Cotterill RM; Fredholm H; Lautrup B; Petersen SB
    FEBS Lett; 1990 Feb; 261(1):43-6. PubMed ID: 19928342
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Modeling of the three-dimensional structure of luffin-alpha and its simulated reaction with the substrate oligoribonucleotide GAGA.
    Chen RS; Leung HW; Dong YC; Wong RN
    J Protein Chem; 1996 Oct; 15(7):649-57. PubMed ID: 8968956
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Protein structures from distance inequalities.
    Bohr J; Bohr H; Brunak S; Cotterill RM; Fredholm H; Lautrup B; Petersen SB
    J Mol Biol; 1993 Jun; 231(3):861-9. PubMed ID: 7685827
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Protein backbone angle prediction with machine learning approaches.
    Kuang R; Leslie CS; Yang AS
    Bioinformatics; 2004 Jul; 20(10):1612-21. PubMed ID: 14988121
    [TBL] [Abstract][Full Text] [Related]  

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

  • 6. Biomolecular structure prediction at a low resolution using a neural network and the double-iterated Kalman filter technique.
    Pachter R; Fairchild SB; Lupo JA; Adams WW
    Biopolymers; 1996 Sep; 39(3):377-86. PubMed ID: 8756517
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.
    Wang S; Sun S; Li Z; Zhang R; Xu J
    PLoS Comput Biol; 2017 Jan; 13(1):e1005324. PubMed ID: 28056090
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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
    [TBL] [Abstract][Full Text] [Related]  

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

  • 10. Prediction of protein folding class from amino acid composition.
    Dubchak I; Holbrook SR; Kim SH
    Proteins; 1993 May; 16(1):79-91. PubMed ID: 8497486
    [TBL] [Abstract][Full Text] [Related]  

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

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

  • 13. Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners.
    Pollastri G; Baldi P
    Bioinformatics; 2002; 18 Suppl 1():S62-70. PubMed ID: 12169532
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network.
    Lyons J; Dehzangi A; Heffernan R; Sharma A; Paliwal K; Sattar A; Zhou Y; Yang Y
    J Comput Chem; 2014 Oct; 35(28):2040-6. PubMed ID: 25212657
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Threading using neural nEtwork (TUNE): the measure of protein sequence-structure compatibility.
    Lin K; May AC; Taylor WR
    Bioinformatics; 2002 Oct; 18(10):1350-7. PubMed ID: 12376379
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Lattice neural network minimization. Application of neural network optimization for locating the global-minimum conformations of proteins.
    Rabow AA; Scheraga HA
    J Mol Biol; 1993 Aug; 232(4):1157-68. PubMed ID: 8371272
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of protein secondary structure by an enhanced neural network.
    Vieth M; Koliński A
    Acta Biochim Pol; 1991; 38(3):335-51. PubMed ID: 1799113
    [TBL] [Abstract][Full Text] [Related]  

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

  • 19. Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments.
    Riis SK; Krogh A
    J Comput Biol; 1996; 3(1):163-83. PubMed ID: 8697234
    [TBL] [Abstract][Full Text] [Related]  

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

    [Next]    [New Search]
    of 5.