BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

112 related articles for article (PubMed ID: 16597248)

  • 1. Protein fold recognition using segmentation conditional random fields (SCRFs).
    Liu Y; Carbonell J; Weigele P; Gopalakrishnan V
    J Comput Biol; 2006 Mar; 13(2):394-406. PubMed ID: 16597248
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting the beta-helix fold from protein sequence data.
    Cowen L; Bradley P; Menke M; King J; Berger B
    J Comput Biol; 2002; 9(2):261-76. PubMed ID: 12015881
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fold recognition and accurate sequence-structure alignment of sequences directing beta-sheet proteins.
    McDonnell AV; Menke M; Palmer N; King J; Cowen L; Berger B
    Proteins; 2006 Jun; 63(4):976-85. PubMed ID: 16547930
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Conditional graphical models for protein structural motif recognition.
    Liu Y; Carbonell J; Gopalakrishnan V; Weigele P
    J Comput Biol; 2009 May; 16(5):639-57. PubMed ID: 19432536
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Wrap-and-Pack: a new paradigm for beta structural motif recognition with application to recognizing beta trefoils.
    Menke M; King J; Berger B; Cowen L
    J Comput Biol; 2005; 12(6):777-95. PubMed ID: 16108716
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fold recognition and ab initio structure predictions using hidden Markov models and beta-strand pair potentials.
    Hubbard TJ; Park J
    Proteins; 1995 Nov; 23(3):398-402. PubMed ID: 8710832
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sequence-based protein structure prediction using a reduced state-space hidden Markov model.
    Lampros C; Costas Papaloukas ; Exarchos TP; Yorgos Goletsis ; Fotiadis DI
    Comput Biol Med; 2007 Sep; 37(9):1211-24. PubMed ID: 17161834
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of probabilistic combination methods for protein secondary structure prediction.
    Liu Y; Carbonell J; Klein-Seetharaman J; Gopalakrishnan V
    Bioinformatics; 2004 Nov; 20(17):3099-107. PubMed ID: 15217817
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Protein structure prediction based on sequence similarity.
    Jaroszewski L
    Methods Mol Biol; 2009; 569():129-56. PubMed ID: 19623489
    [TBL] [Abstract][Full Text] [Related]  

  • 10. HMMs in Protein Fold Classification.
    Lampros C; Papaloukas C; Exarchos T; Fotiadis DI
    Methods Mol Biol; 2017; 1552():13-27. PubMed ID: 28224488
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Learning generative models for protein fold families.
    Balakrishnan S; Kamisetty H; Carbonell JG; Lee SI; Langmead CJ
    Proteins; 2011 Apr; 79(4):1061-78. PubMed ID: 21268112
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluation of methods for predicting the topology of beta-barrel outer membrane proteins and a consensus prediction method.
    Bagos PG; Liakopoulos TD; Hamodrakas SJ
    BMC Bioinformatics; 2005 Jan; 6():7. PubMed ID: 15647112
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Profile-profile alignment: a powerful tool for protein structure prediction.
    von Ohsen N; Sommer I; Zimmer R
    Pac Symp Biocomput; 2003; ():252-63. PubMed ID: 12603033
    [TBL] [Abstract][Full Text] [Related]  

  • 14. HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins.
    Bystroff C; Thorsson V; Baker D
    J Mol Biol; 2000 Aug; 301(1):173-90. PubMed ID: 10926500
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Capturing protein sequence-structure specificity using computational sequence design.
    Mach P; Koehl P
    Proteins; 2013 Sep; 81(9):1556-70. PubMed ID: 23609941
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A machine learning information retrieval approach to protein fold recognition.
    Cheng J; Baldi P
    Bioinformatics; 2006 Jun; 22(12):1456-63. PubMed ID: 16547073
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Protein threading by linear programming.
    Xu J; Li M; Lin G; Kim D; Xu Y
    Pac Symp Biocomput; 2003; ():264-75. PubMed ID: 12603034
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A 9-state hidden Markov model using protein secondary structure information for protein fold recognition.
    Lee SY; Lee JY; Jung KS; Ryu KH
    Comput Biol Med; 2009 Jun; 39(6):527-34. PubMed ID: 19394594
    [TBL] [Abstract][Full Text] [Related]  

  • 19. CAALIGN: a program for pairwise and multiple protein-structure alignment.
    Oldfield TJ
    Acta Crystallogr D Biol Crystallogr; 2007 Apr; 63(Pt 4):514-25. PubMed ID: 17372357
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Protein fold recognition by mapping predicted secondary structures.
    Russell RB; Copley RR; Barton GJ
    J Mol Biol; 1996 Jun; 259(3):349-65. PubMed ID: 8676374
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.