BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

113 related articles for article (PubMed ID: 18391242)

  • 1. BETTY: prediction of beta-strand type from sequence.
    Zimmermann O; Wang L; Hansmann UH
    In Silico Biol; 2007; 7(4-5):535-42. PubMed ID: 18391242
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Support vector machines for prediction of dihedral angle regions.
    Zimmermann O; Hansmann UH
    Bioinformatics; 2006 Dec; 22(24):3009-15. PubMed ID: 17005536
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of strand pairing in antiparallel and parallel beta-sheets using information theory.
    Steward RE; Thornton JM
    Proteins; 2002 Aug; 48(2):178-91. PubMed ID: 12112687
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure.
    Bystroff C; Webb-Robertson BJ
    BMC Bioinformatics; 2008 Oct; 9():429. PubMed ID: 18847485
    [TBL] [Abstract][Full Text] [Related]  

  • 5. LOCUSTRA: accurate prediction of local protein structure using a two-layer support vector machine approach.
    Zimmermann O; Hansmann UH
    J Chem Inf Model; 2008 Sep; 48(9):1903-8. PubMed ID: 18763837
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The interstrand amino acid pairs play a significant role in determining the parallel or antiparallel orientation of beta-strands.
    Zhang N; Ruan J; Duan G; Gao S; Zhang T
    Biochem Biophys Res Commun; 2009 Aug; 386(3):537-43. PubMed ID: 19540200
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Strand-loop-strand motifs: prediction of hairpins and diverging turns in proteins.
    Kuhn M; Meiler J; Baker D
    Proteins; 2004 Feb; 54(2):282-8. PubMed ID: 14696190
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of the parallel/antiparallel orientation of beta-strands using amino acid pairing preferences and support vector machines.
    Zhang N; Duan G; Gao S; Ruan J; Zhang T
    J Theor Biol; 2010 Apr; 263(3):360-8. PubMed ID: 20035768
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of machine learning to structural molecular biology.
    Sternberg MJ; King RD; Lewis RA; Muggleton S
    Philos Trans R Soc Lond B Biol Sci; 1994 Jun; 344(1310):365-71. PubMed ID: 7800706
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Support vector machines for the classification and prediction of beta-turn types.
    Cai YD; Liu XJ; Xu XB; Chou KC
    J Pept Sci; 2002 Jul; 8(7):297-301. PubMed ID: 12148778
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Parallel and antiparallel β-strands differ in amino acid composition and availability of short constituent sequences.
    Tsutsumi M; Otaki JM
    J Chem Inf Model; 2011 Jun; 51(6):1457-64. PubMed ID: 21520893
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of protein secondary structure content for the twilight zone sequences.
    Homaeian L; Kurgan LA; Ruan J; Cios KJ; Chen K
    Proteins; 2007 Nov; 69(3):486-98. PubMed ID: 17623861
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of protein structural class using novel evolutionary collocation-based sequence representation.
    Chen K; Kurgan LA; Ruan J
    J Comput Chem; 2008 Jul; 29(10):1596-604. PubMed ID: 18293306
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Better prediction of the location of alpha-turns in proteins with support vector machine.
    Wang Y; Xue Z; Xu J
    Proteins; 2006 Oct; 65(1):49-54. PubMed ID: 16894602
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of protein structure class by coupling improved genetic algorithm and support vector machine.
    Li ZC; Zhou XB; Lin YR; Zou XY
    Amino Acids; 2008 Oct; 35(3):581-90. PubMed ID: 18427714
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Three-stage prediction of protein beta-sheets by neural networks, alignments and graph algorithms.
    Cheng J; Baldi P
    Bioinformatics; 2005 Jun; 21 Suppl 1():i75-84. PubMed ID: 15961501
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Studies on the rules of β-strand alignment in a protein β-sheet structure.
    Zhang L; Zhang N; Ruan JS; Zhang T
    J Theor Biol; 2011 Sep; 285(1):69-76. PubMed ID: 21745480
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of turn types in protein structure by machine-learning classifiers.
    Meissner M; Koch O; Klebe G; Schneider G
    Proteins; 2009 Feb; 74(2):344-52. PubMed ID: 18618702
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search.
    Garg A; Raghava GP
    In Silico Biol; 2008; 8(2):129-40. PubMed ID: 18928201
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of beta-sheet topology and disulfide bridges in polypeptides.
    Klepeis JL; Floudas CA
    J Comput Chem; 2003 Jan; 24(2):191-208. PubMed ID: 12497599
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.