BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

268 related articles for article (PubMed ID: 16844986)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 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. DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines.
    Lin HH; Tseng LY
    Nucleic Acids Res; 2010 Jul; 38(Web Server issue):W503-7. PubMed ID: 20530534
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. DiANNA: a web server for disulfide connectivity prediction.
    Ferrè F; Clote P
    Nucleic Acids Res; 2005 Jul; 33(Web Server issue):W230-2. PubMed ID: 15980459
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. CysView: protein classification based on cysteine pairing patterns.
    Lenffer J; Lai P; El Mejaber W; Khan AM; Koh JL; Tan PT; Seah SH; Brusic V
    Nucleic Acids Res; 2004 Jul; 32(Web Server issue):W350-5. PubMed ID: 15215409
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence.
    Lippi M; Passerini A; Punta M; Rost B; Frasconi P
    Bioinformatics; 2008 Sep; 24(18):2094-5. PubMed ID: 18635571
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 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. 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]  

  • 18. Role of evolutionary information in predicting the disulfide-bonding state of cysteine in proteins.
    Fariselli P; Riccobelli P; Casadio R
    Proteins; 1999 Aug; 36(3):340-6. PubMed ID: 10409827
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Analysis of factors that induce cysteine bonding state.
    Karami Z; Abdolmaleki P; Rezaei MA; Jahandideh S; Asadabadi EB
    Comput Biol Med; 2009 Apr; 39(4):332-9. PubMed ID: 19246035
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Anisotropic network model: systematic evaluation and a new web interface.
    Eyal E; Yang LW; Bahar I
    Bioinformatics; 2006 Nov; 22(21):2619-27. PubMed ID: 16928735
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.