BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

122 related articles for article (PubMed ID: 15281121)

  • 1. Protein contact prediction using patterns of correlation.
    Hamilton N; Burrage K; Ragan MA; Huber T
    Proteins; 2004 Sep; 56(4):679-84. PubMed ID: 15281121
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Striped sheets and protein contact prediction.
    MacCallum RM
    Bioinformatics; 2004 Aug; 20 Suppl 1():i224-31. PubMed ID: 15262803
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Combining evolutionary and structural information for local protein structure prediction.
    Pei J; Grishin NV
    Proteins; 2004 Sep; 56(4):782-94. PubMed ID: 15281130
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure.
    Song J; Yuan Z; Tan H; Huber T; Burrage K
    Bioinformatics; 2007 Dec; 23(23):3147-54. PubMed ID: 17942444
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Learning protein secondary structure from sequential and relational data.
    Ceroni A; Frasconi P; Pollastri G
    Neural Netw; 2005 Oct; 18(8):1029-39. PubMed ID: 16182513
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Protein secondary structure prediction with dihedral angles.
    Wood MJ; Hirst JD
    Proteins; 2005 May; 59(3):476-81. PubMed ID: 15778963
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Contact prediction using mutual information and neural nets.
    Shackelford G; Karplus K
    Proteins; 2007; 69 Suppl 8():159-64. PubMed ID: 17932918
    [TBL] [Abstract][Full Text] [Related]  

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

  • 13. CSSP2: an improved method for predicting contact-dependent secondary structure propensity.
    Yoon S; Welsh WJ; Jung H; Yoo YD
    Comput Biol Chem; 2007 Oct; 31(5-6):373-7. PubMed ID: 17644485
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of interface residues in protein-protein complexes by a consensus neural network method: test against NMR data.
    Chen H; Zhou HX
    Proteins; 2005 Oct; 61(1):21-35. PubMed ID: 16080151
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A neural-network based method for prediction of gamma-turns in proteins from multiple sequence alignment.
    Kaur H; Raghava GP
    Protein Sci; 2003 May; 12(5):923-9. PubMed ID: 12717015
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Accurate prediction of solvent accessibility using neural networks-based regression.
    Adamczak R; Porollo A; Meller J
    Proteins; 2004 Sep; 56(4):753-67. PubMed ID: 15281128
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of caspase cleavage sites using Bayesian bio-basis function neural networks.
    Yang ZR
    Bioinformatics; 2005 May; 21(9):1831-7. PubMed ID: 15671118
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of protein secondary structure content using amino acid composition and evolutionary information.
    Lee S; Lee BC; Kim D
    Proteins; 2006 Mar; 62(4):1107-14. PubMed ID: 16345074
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.