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 *

87 related articles for article (PubMed ID: 7584326)

  • 1. Comparison of two variations of neural network approach to the prediction of protein folding pattern.
    Dubchak I; Holbrook SR; Kim SH
    Proc Int Conf Intell Syst Mol Biol; 1993; 1():118-26. PubMed ID: 7584326
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Prediction of protein folding class using global description of amino acid sequence.
    Dubchak I; Muchnik I; Holbrook SR; Kim SH
    Proc Natl Acad Sci U S A; 1995 Sep; 92(19):8700-4. PubMed ID: 7568000
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Protein folding class predictor for SCOP: approach based on global descriptors.
    Dubchak I; Muchnik I; Kim SH
    Proc Int Conf Intell Syst Mol Biol; 1997; 5():104-7. PubMed ID: 9322023
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Hunting for "key residues" in the modeling of globular protein folding: an artificial neural network-based approach.
    Sacile R; Ruggiero C
    IEEE Trans Nanobioscience; 2002 Jun; 1(2):85-91. PubMed ID: 16689212
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Recognition of a protein fold in the context of the Structural Classification of Proteins (SCOP) classification.
    Dubchak I; Muchnik I; Mayor C; Dralyuk I; Kim SH
    Proteins; 1999 Jun; 35(4):401-7. PubMed ID: 10382667
    [TBL] [Abstract][Full Text] [Related]  

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

  • 8. PPRODO: prediction of protein domain boundaries using neural networks.
    Sim J; Kim SY; Lee J
    Proteins; 2005 May; 59(3):627-32. PubMed ID: 15789433
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Emergent protein folding modeled with evolved neural cellular automata using the 3D HP model.
    Santos J; Villot P; Diéguez M
    J Comput Biol; 2014 Nov; 21(11):823-45. PubMed ID: 25343217
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A 3D-1D substitution matrix for protein fold recognition that includes predicted secondary structure of the sequence.
    Rice DW; Eisenberg D
    J Mol Biol; 1997 Apr; 267(4):1026-38. PubMed ID: 9135128
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Recognition of analogous and homologous protein folds: analysis of sequence and structure conservation.
    Russell RB; Saqi MA; Sayle RA; Bates PA; Sternberg MJ
    J Mol Biol; 1997 Jun; 269(3):423-39. PubMed ID: 9199410
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Neural networks for molecular sequence classification.
    Wu C; Berry M; Fung YS; McLarty J
    Proc Int Conf Intell Syst Mol Biol; 1993; 1():429-37. PubMed ID: 7584367
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Protein classification artificial neural system.
    Wu C; Whitson G; McLarty J; Ermongkonchai A; Chang TC
    Protein Sci; 1992 May; 1(5):667-77. PubMed ID: 1304365
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cross-validation of protein structural class prediction using statistical clustering and neural networks.
    Metfessel BA; Saurugger PN; Connelly DP; Rich SS
    Protein Sci; 1993 Jul; 2(7):1171-82. PubMed ID: 8358300
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Gamma-turn types prediction in proteins using the two-stage hybrid neural discriminant model.
    Jahandideh S; Hoseini S; Jahandideh M; Hoseini A; Disfani FM
    J Theor Biol; 2009 Aug; 259(3):517-22. PubMed ID: 19409396
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The DEF data base of sequence based protein fold class predictions.
    Reczko M; Bohr H
    Nucleic Acids Res; 1994 Sep; 22(17):3616-9. PubMed ID: 7937069
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Design and training of a neural network for predicting the solvent accessibility of proteins.
    Ahmad S; Gromiha MM
    J Comput Chem; 2003 Aug; 24(11):1313-20. PubMed ID: 12827672
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel approach to the recognition of protein architecture from sequence using Fourier analysis and neural networks.
    Shepherd AJ; Gorse D; Thornton JM
    Proteins; 2003 Feb; 50(2):290-302. PubMed ID: 12486723
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 5.