BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 16170781)

  • 1. Prediction of disulfide connectivity from protein sequences.
    Chen YC; Hwang JK
    Proteins; 2005 Nov; 61(3):507-12. PubMed ID: 16170781
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Cysteine separations profiles on protein sequences infer disulfide connectivity.
    Zhao E; Liu HL; Tsai CH; Tsai HK; Chan CH; Kao CY
    Bioinformatics; 2005 Apr; 21(8):1415-20. PubMed ID: 15585533
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting disulfide connectivity patterns.
    Lu CH; Chen YC; Yu CS; Hwang JK
    Proteins; 2007 May; 67(2):262-70. PubMed ID: 17285623
    [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. A simplified approach to disulfide connectivity prediction from protein sequences.
    Vincent M; Passerini A; Labbé M; Frasconi P
    BMC Bioinformatics; 2008 Jan; 9():20. PubMed ID: 18194539
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Disulfide connectivity prediction with 70% accuracy using two-level models.
    Chen BJ; Tsai CH; Chan CH; Kao CY
    Proteins; 2006 Jul; 64(1):246-52. PubMed ID: 16615141
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DISULFIND: a disulfide bonding state and cysteine connectivity prediction server.
    Ceroni A; Passerini A; Vullo A; Frasconi P
    Nucleic Acids Res; 2006 Jul; 34(Web Server issue):W177-81. PubMed ID: 16844986
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Disulfide connectivity prediction using recursive neural networks and evolutionary information.
    Vullo A; Frasconi P
    Bioinformatics; 2004 Mar; 20(5):653-9. PubMed ID: 15033872
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of the bonding states of cysteines using the support vector machines based on multiple feature vectors and cysteine state sequences.
    Chen YC; Lin YS; Lin CJ; Hwang JK
    Proteins; 2004 Jun; 55(4):1036-42. PubMed ID: 15146500
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matching.
    Cheng J; Saigo H; Baldi P
    Proteins; 2006 Mar; 62(3):617-29. PubMed ID: 16320312
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improving the accuracy of predicting disulfide connectivity by feature selection.
    Zhu L; Yang J; Song JN; Chou KC; Shen HB
    J Comput Chem; 2010 May; 31(7):1478-85. PubMed ID: 20127740
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Improving disulfide connectivity prediction with sequential distance between oxidized cysteines.
    Tsai CH; Chen BJ; Chan CH; Liu HL; Kao CY
    Bioinformatics; 2005 Dec; 21(24):4416-9. PubMed ID: 16223789
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of the disulfide-bonding state of cysteines in proteins based on dipeptide composition.
    Song JN; Wang ML; Li WJ; Xu WB
    Biochem Biophys Res Commun; 2004 May; 318(1):142-7. PubMed ID: 15110765
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting disulfide bond connectivity in proteins by correlated mutations analysis.
    Rubinstein R; Fiser A
    Bioinformatics; 2008 Feb; 24(4):498-504. PubMed ID: 18203772
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Limited tendency of alpha-helical residues to form disulfide bridges: a structural explanation.
    De Simone A; Berisio R; Zagari A; Vitagliano L
    J Pept Sci; 2006 Dec; 12(12):740-7. PubMed ID: 17131286
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Disulfide connectivity prediction using secondary structure information and diresidue frequencies.
    Ferrè F; Clote P
    Bioinformatics; 2005 May; 21(10):2336-46. PubMed ID: 15741247
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DiANNA 1.1: an extension of the DiANNA web server for ternary cysteine classification.
    Ferrè F; Clote P
    Nucleic Acids Res; 2006 Jul; 34(Web Server issue):W182-5. PubMed ID: 16844987
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cooperativity of the oxidization of cysteines in globular proteins.
    Jiang-Ning S; Wei-Jiang L; Wen-Bo X
    J Theor Biol; 2004 Nov; 231(1):85-95. PubMed ID: 15363931
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Conservation of cysteine residues in fungal histidine acid phytases.
    Mullaney EJ; Ullah AH
    Biochem Biophys Res Commun; 2005 Mar; 328(2):404-8. PubMed ID: 15694362
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identifying cysteines and histidines in transition-metal-binding sites using support vector machines and neural networks.
    Passerini A; Punta M; Ceroni A; Rost B; Frasconi P
    Proteins; 2006 Nov; 65(2):305-16. PubMed ID: 16927295
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.