BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

234 related articles for article (PubMed ID: 24130308)

  • 1. FFAS-3D: improving fold recognition by including optimized structural features and template re-ranking.
    Xu D; Jaroszewski L; Li Z; Godzik A
    Bioinformatics; 2014 Mar; 30(5):660-7. PubMed ID: 24130308
    [TBL] [Abstract][Full Text] [Related]  

  • 2. FFAS server: novel features and applications.
    Jaroszewski L; Li Z; Cai XH; Weber C; Godzik A
    Nucleic Acids Res; 2011 Jul; 39(Web Server issue):W38-44. PubMed ID: 21715387
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contacts.
    Zhu J; Zhang H; Li SC; Wang C; Kong L; Sun S; Zheng WM; Bu D
    Bioinformatics; 2017 Dec; 33(23):3749-3757. PubMed ID: 28961795
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ab initio and homology based prediction of protein domains by recursive neural networks.
    Walsh I; Martin AJ; Mooney C; Rubagotti E; Vullo A; Pollastri G
    BMC Bioinformatics; 2009 Jun; 10():195. PubMed ID: 19558651
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improving the quality of twilight-zone alignments.
    Jaroszewski L; Rychlewski L; Godzik A
    Protein Sci; 2000 Aug; 9(8):1487-96. PubMed ID: 10975570
    [TBL] [Abstract][Full Text] [Related]  

  • 6. FFAS03: a server for profile--profile sequence alignments.
    Jaroszewski L; Rychlewski L; Li Z; Li W; Godzik A
    Nucleic Acids Res; 2005 Jul; 33(Web Server issue):W284-8. PubMed ID: 15980471
    [TBL] [Abstract][Full Text] [Related]  

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

  • 8. SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.
    Melvin I; Ie E; Kuang R; Weston J; Stafford WN; Leslie C
    BMC Bioinformatics; 2007 May; 8 Suppl 4(Suppl 4):S2. PubMed ID: 17570145
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Template-based C8-SCORPION: a protein 8-state secondary structure prediction method using structural information and context-based features.
    Yaseen A; Li Y
    BMC Bioinformatics; 2014; 15 Suppl 8(Suppl 8):S3. PubMed ID: 25080939
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 3D-Jury: a simple approach to improve protein structure predictions.
    Ginalski K; Elofsson A; Fischer D; Rychlewski L
    Bioinformatics; 2003 May; 19(8):1015-8. PubMed ID: 12761065
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Iterative sequence/secondary structure search for protein homologs: comparison with amino acid sequence alignments and application to fold recognition in genome databases.
    Wallqvist A; Fukunishi Y; Murphy LR; Fadel A; Levy RM
    Bioinformatics; 2000 Nov; 16(11):988-1002. PubMed ID: 11159310
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Direct prediction of profiles of sequences compatible with a protein structure by neural networks with fragment-based local and energy-based nonlocal profiles.
    Li Z; Yang Y; Faraggi E; Zhan J; Zhou Y
    Proteins; 2014 Oct; 82(10):2565-73. PubMed ID: 24898915
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detecting distant-homology protein structures by aligning deep neural-network based contact maps.
    Zheng W; Wuyun Q; Li Y; Mortuza SM; Zhang C; Pearce R; Ruan J; Zhang Y
    PLoS Comput Biol; 2019 Oct; 15(10):e1007411. PubMed ID: 31622328
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic classification of protein structures using low-dimensional structure space mappings.
    Asarnow D; Singh R
    BMC Bioinformatics; 2014; 15 Suppl 2(Suppl 2):S1. PubMed ID: 24564500
    [TBL] [Abstract][Full Text] [Related]  

  • 15. New functional families (FunFams) in CATH to improve the mapping of conserved functional sites to 3D structures.
    Sillitoe I; Cuff AL; Dessailly BH; Dawson NL; Furnham N; Lee D; Lees JG; Lewis TE; Studer RA; Rentzsch R; Yeats C; Thornton JM; Orengo CA
    Nucleic Acids Res; 2013 Jan; 41(Database issue):D490-8. PubMed ID: 23203873
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ab initio and template-based prediction of multi-class distance maps by two-dimensional recursive neural networks.
    Walsh I; BaĆ¹ D; Martin AJ; Mooney C; Vullo A; Pollastri G
    BMC Struct Biol; 2009 Jan; 9():5. PubMed ID: 19183478
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Improving Protein Fold Recognition by Deep Learning Networks.
    Jo T; Hou J; Eickholt J; Cheng J
    Sci Rep; 2015 Dec; 5():17573. PubMed ID: 26634993
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Remote protein homology detection and fold recognition using two-layer support vector machine classifiers.
    Muda HM; Saad P; Othman RM
    Comput Biol Med; 2011 Aug; 41(8):687-99. PubMed ID: 21704312
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Defining and predicting structurally conserved regions in protein superfamilies.
    Huang IK; Pei J; Grishin NV
    Bioinformatics; 2013 Jan; 29(2):175-81. PubMed ID: 23193223
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A comprehensive update of the sequence and structure classification of kinases.
    Cheek S; Ginalski K; Zhang H; Grishin NV
    BMC Struct Biol; 2005 Mar; 5():6. PubMed ID: 15771780
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.