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Journal Abstract Search

139 related items for PubMed ID: 9579654

  • 1. Recognition of analogous and homologous protein folds--assessment of prediction success and associated alignment accuracy using empirical substitution matrices.
    Russell RB, Saqi MA, Bates PA, Sayle RA, Sternberg MJ.
    Protein Eng; 1998 Jan; 11(1):1-9. PubMed ID: 9579654
    [Abstract] [Full Text] [Related]

  • 2. Recognition of analogous and homologous protein folds: analysis of sequence and structure conservation.
    Russell RB, Saqi MA, Sayle RA, Bates PA, Sternberg MJ.
    J Mol Biol; 1997 Jun 13; 269(3):423-39. PubMed ID: 9199410
    [Abstract] [Full Text] [Related]

  • 3. A 3D-1D substitution matrix for protein fold recognition that includes predicted secondary structure of the sequence.
    Rice DW, Eisenberg D.
    J Mol Biol; 1997 Apr 11; 267(4):1026-38. PubMed ID: 9135128
    [Abstract] [Full Text] [Related]

  • 4. Protein fold recognition by mapping predicted secondary structures.
    Russell RB, Copley RR, Barton GJ.
    J Mol Biol; 1996 Jun 14; 259(3):349-65. PubMed ID: 8676374
    [Abstract] [Full Text] [Related]

  • 5. Pairwise sequence alignment below the twilight zone.
    Blake JD, Cohen FE.
    J Mol Biol; 2001 Mar 23; 307(2):721-35. PubMed ID: 11254392
    [Abstract] [Full Text] [Related]

  • 6. Protein fold recognition by prediction-based threading.
    Rost B, Schneider R, Sander C.
    J Mol Biol; 1997 Jul 18; 270(3):471-80. PubMed ID: 9237912
    [Abstract] [Full Text] [Related]

  • 7. Use of residue pairs in protein sequence-sequence and sequence-structure alignments.
    Jung J, Lee B.
    Protein Sci; 2000 Aug 18; 9(8):1576-88. PubMed ID: 10975579
    [Abstract] [Full Text] [Related]

  • 8. Recognition of remotely related structural homologues using sequence profiles of aligned homologous protein structures.
    Namboori S, Srinivasan N, Pandit SB.
    In Silico Biol; 2004 Aug 18; 4(4):445-60. PubMed ID: 15506994
    [Abstract] [Full Text] [Related]

  • 9. Protein structure prediction of CASP5 comparative modeling and fold recognition targets using consensus alignment approach and 3D assessment.
    Ginalski K, Rychlewski L.
    Proteins; 2003 Aug 18; 53 Suppl 6():410-7. PubMed ID: 14579329
    [Abstract] [Full Text] [Related]

  • 10. Structure-based evaluation of sequence comparison and fold recognition alignment accuracy.
    Domingues FS, Lackner P, Andreeva A, Sippl MJ.
    J Mol Biol; 2000 Apr 07; 297(4):1003-13. PubMed ID: 10736233
    [Abstract] [Full Text] [Related]

  • 11. DeepSF: deep convolutional neural network for mapping protein sequences to folds.
    Hou J, Adhikari B, Cheng J.
    Bioinformatics; 2018 Apr 15; 34(8):1295-1303. PubMed ID: 29228193
    [Abstract] [Full Text] [Related]

  • 12. Residue-residue contact substitution probabilities derived from aligned three-dimensional structures and the identification of common folds.
    Rodionov MA, Johnson MS.
    Protein Sci; 1994 Dec 15; 3(12):2366-77. PubMed ID: 7756991
    [Abstract] [Full Text] [Related]

  • 13. Supersites within superfolds. Binding site similarity in the absence of homology.
    Russell RB, Sasieni PD, Sternberg MJ.
    J Mol Biol; 1998 Oct 02; 282(4):903-18. PubMed ID: 9743635
    [Abstract] [Full Text] [Related]

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  • 16. Cooperative approach for the protein fold recognition.
    Ota M, Kawabata T, Kinjo AR, Nishikawa K.
    Proteins; 1999 Oct 02; Suppl 3():126-32. PubMed ID: 10526361
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  • 18. DPANN: improved sequence to structure alignments following fold recognition.
    Reinhardt A, Eisenberg D.
    Proteins; 2004 Aug 15; 56(3):528-38. PubMed ID: 15229885
    [Abstract] [Full Text] [Related]

  • 19. Targeting novel folds for structural genomics.
    McGuffin LJ, Jones DT.
    Proteins; 2002 Jul 01; 48(1):44-52. PubMed ID: 12012336
    [Abstract] [Full Text] [Related]

  • 20. Sequence based residue depth prediction using evolutionary information and predicted secondary structure.
    Zhang H, Zhang T, Chen K, Shen S, Ruan J, Kurgan L.
    BMC Bioinformatics; 2008 Sep 20; 9():388. PubMed ID: 18803867
    [Abstract] [Full Text] [Related]

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