BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

108 related articles for article (PubMed ID: 17589966)

  • 1. Cavity scaling: automated refinement of cavity-aware motifs in protein function prediction.
    Chen BY; Bryant DH; Fofanov VY; Kristensen DM; Cruess AE; Kimmel M; Lichtarge O; Kavraki LE
    J Bioinform Comput Biol; 2007 Apr; 5(2a):353-82. PubMed ID: 17589966
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Cavity-aware motifs reduce false positives in protein function prediction.
    Chen BY; Bryant DH; Fofanov VY; Kristensen DM; Cruess AE; Kimmel M; Lichtarge O; Kavraki LE
    Comput Syst Bioinformatics Conf; 2006; ():311-23. PubMed ID: 17369649
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Matching of structural motifs using hashing on residue labels and geometric filtering for protein function prediction.
    Moll M; Kavraki LE
    Comput Syst Bioinformatics Conf; 2008; 7():157-68. PubMed ID: 19642277
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The MASH pipeline for protein function prediction and an algorithm for the geometric refinement of 3D motifs.
    Chen BY; Fofanov VY; Bryant DH; Dodson BD; Kristensen DM; Lisewski AM; Kimmel M; Lichtarge O; Kavraki LE
    J Comput Biol; 2007; 14(6):791-816. PubMed ID: 17691895
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Composite motifs integrating multiple protein structures increase sensitivity for function prediction.
    Chen BY; Bryant DH; Cruess AE; Bylund JH; Fofanov VY; Kristensen DM; Kimmel M; Lichtarge O; Kavraki LE
    Comput Syst Bioinformatics Conf; 2007; 6():343-55. PubMed ID: 17951837
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Motif-based protein ranking by network propagation.
    Kuang R; Weston J; Noble WS; Leslie C
    Bioinformatics; 2005 Oct; 21(19):3711-8. PubMed ID: 16076885
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Motif extraction and protein classification.
    Kunik V; Solan Z; Edelman S; Ruppin E; Horn D
    Proc IEEE Comput Syst Bioinform Conf; 2005; ():80-5. PubMed ID: 16447965
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A sequence alignment-independent method for protein classification.
    Vries JK; Munshi R; Tobi D; Klein-Seetharaman J; Benos PV; Bahar I
    Appl Bioinformatics; 2004; 3(2-3):137-48. PubMed ID: 15693739
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A combinatorial pattern discovery approach for the prediction of membrane dipping (re-entrant) loops.
    Lasso G; Antoniw JF; Mullins JG
    Bioinformatics; 2006 Jul; 22(14):e290-7. PubMed ID: 16873484
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Relation between weight matrix and substitution matrix: motif search by similarity.
    Zheng WM
    Bioinformatics; 2005 Apr; 21(7):938-43. PubMed ID: 15514002
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using hybrid hierarchical K-means (HHK) clustering algorithm for protein sequence motif super-rule-tree (SRT) structure construction.
    Chen B; He J; Pellicer S; Pan Y
    Int J Data Min Bioinform; 2010; 4(3):316-30. PubMed ID: 20681482
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Efficient Exact Algorithm for the Motif Stem Search Problem over Large Alphabets.
    Yu Q; Huo H; Vitter JS; Huan J; Nekrich Y
    IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(2):384-97. PubMed ID: 26357225
    [TBL] [Abstract][Full Text] [Related]  

  • 13. iGibbs: improving Gibbs motif sampler for proteins by sequence clustering and iterative pattern sampling.
    Kim S; Wang Z; Dalkilic M
    Proteins; 2007 Feb; 66(3):671-81. PubMed ID: 17120229
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A computational strategy for the prediction of functional linear peptide motifs in proteins.
    Dinkel H; Sticht H
    Bioinformatics; 2007 Dec; 23(24):3297-303. PubMed ID: 17977881
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A study of statistical methods for function prediction of protein motifs.
    Tao T; Zhai CX; Lu X; Fang H
    Appl Bioinformatics; 2004; 3(2-3):115-24. PubMed ID: 15693737
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Rapid motif-based prediction of circular permutations in multi-domain proteins.
    Weiner J; Thomas G; Bornberg-Bauer E
    Bioinformatics; 2005 Apr; 21(7):932-7. PubMed ID: 15788783
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A robust linear regression based algorithm for automated evaluation of peptide identifications from shotgun proteomics by use of reversed-phase liquid chromatography retention time.
    Xu H; Yang L; Freitas MA
    BMC Bioinformatics; 2008 Aug; 9():347. PubMed ID: 18713471
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Graphical approach to weak motif recognition.
    Yang X; Rajapakse JC
    Genome Inform; 2004; 15(2):52-62. PubMed ID: 15706491
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On the importance of comprehensible classification models for protein function prediction.
    Freitas AA; Wieser DC; Apweiler R
    IEEE/ACM Trans Comput Biol Bioinform; 2010; 7(1):172-82. PubMed ID: 20150679
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improved K-means clustering algorithm for exploring local protein sequence motifs representing common structural property.
    Zhong W; Altun G; Harrison R; Tai PC; Pan Y
    IEEE Trans Nanobioscience; 2005 Sep; 4(3):255-65. PubMed ID: 16220690
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.