BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 8307594)

  • 1. Peptides secondary structure prediction with neural networks: a criterion for building appropriate learning sets.
    Ruggiero C; Sacile R; Rauch G
    IEEE Trans Biomed Eng; 1993 Nov; 40(11):1114-21. PubMed ID: 8307594
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Protein secondary structure prediction using nearest-neighbor methods.
    Yi TM; Lander ES
    J Mol Biol; 1993 Aug; 232(4):1117-29. PubMed ID: 8371270
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Combining prediction of secondary structure and solvent accessibility in proteins.
    Adamczak R; Porollo A; Meller J
    Proteins; 2005 May; 59(3):467-75. PubMed ID: 15768403
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Role of main-chain electrostatics, hydrophobic effect and side-chain conformational entropy in determining the secondary structure of proteins.
    Avbelj F; Fele L
    J Mol Biol; 1998 Jun; 279(3):665-84. PubMed ID: 9641985
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Neural networks for secondary structure and structural class predictions.
    Chandonia JM; Karplus M
    Protein Sci; 1995 Feb; 4(2):275-85. PubMed ID: 7757016
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Highly accurate and consistent method for prediction of helix and strand content from primary protein sequences.
    Ruan J; Wang K; Yang J; Kurgan LA; Cios K
    Artif Intell Med; 2005; 35(1-2):19-35. PubMed ID: 16081261
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of protein secondary structure at 80% accuracy.
    Petersen TN; Lundegaard C; Nielsen M; Bohr H; Bohr J; Brunak S; Gippert GP; Lund O
    Proteins; 2000 Oct; 41(1):17-20. PubMed ID: 10944389
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of protein secondary structure content by artificial neural network.
    Cai YD; Liu XJ; Chou KC
    J Comput Chem; 2003 Apr; 24(6):727-31. PubMed ID: 12666164
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using artificially generated spectral data to improve protein secondary structure prediction from Fourier transform infrared spectra of proteins.
    Severcan M; Haris PI; Severcan F
    Anal Biochem; 2004 Sep; 332(2):238-44. PubMed ID: 15325291
    [TBL] [Abstract][Full Text] [Related]  

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

  • 12. Protein secondary structure prediction with partially recurrent neural networks.
    Reczko M
    SAR QSAR Environ Res; 1993; 1(2-3):153-9. PubMed ID: 8790631
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improved sequence-based prediction of protein secondary structures by combining vacuum-ultraviolet circular dichroism spectroscopy with neural network.
    Matsuo K; Watanabe H; Gekko K
    Proteins; 2008 Oct; 73(1):104-12. PubMed ID: 18395813
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Meta-learning approach to neural network optimization.
    Kordík P; Koutník J; Drchal J; Kovárík O; Cepek M; Snorek M
    Neural Netw; 2010 May; 23(4):568-82. PubMed ID: 20227243
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The importance of larger data sets for protein secondary structure prediction with neural networks.
    Chandonia JM; Karplus M
    Protein Sci; 1996 Apr; 5(4):768-74. PubMed ID: 8845767
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Protein secondary structure prediction using local alignments.
    Salamov AA; Solovyev VV
    J Mol Biol; 1997 Apr; 268(1):31-6. PubMed ID: 9149139
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of protein secondary structure at better than 70% accuracy.
    Rost B; Sander C
    J Mol Biol; 1993 Jul; 232(2):584-99. PubMed ID: 8345525
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Combining evolutionary information and neural networks to predict protein secondary structure.
    Rost B; Sander C
    Proteins; 1994 May; 19(1):55-72. PubMed ID: 8066087
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting protein secondary structure by a support vector machine based on a new coding scheme.
    Wang LH; Liu J; Li YF; Zhou HB
    Genome Inform; 2004; 15(2):181-90. PubMed ID: 15706504
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.