These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

366 related articles for article (PubMed ID: 15697224)

  • 1. Comparing and combining predictors of mostly disordered proteins.
    Oldfield CJ; Cheng Y; Cortese MS; Brown CJ; Uversky VN; Dunker AK
    Biochemistry; 2005 Feb; 44(6):1989-2000. PubMed ID: 15697224
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Flavors of protein disorder.
    Vucetic S; Brown CJ; Dunker AK; Obradovic Z
    Proteins; 2003 Sep; 52(4):573-84. PubMed ID: 12910457
    [TBL] [Abstract][Full Text] [Related]  

  • 3. N-terminal N-myristoylation of proteins: prediction of substrate proteins from amino acid sequence.
    Maurer-Stroh S; Eisenhaber B; Eisenhaber F
    J Mol Biol; 2002 Apr; 317(4):541-57. PubMed ID: 11955008
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of protein disorder.
    Dosztányi Z; Tompa P
    Methods Mol Biol; 2008; 426():103-15. PubMed ID: 18542859
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Intrinsic disorder in the Protein Data Bank.
    Le Gall T; Romero PR; Cortese MS; Uversky VN; Dunker AK
    J Biomol Struct Dyn; 2007 Feb; 24(4):325-42. PubMed ID: 17206849
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Assessment of disorder predictions in CASP7.
    Bordoli L; Kiefer F; Schwede T
    Proteins; 2007; 69 Suppl 8():129-36. PubMed ID: 17680688
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bioinformatical approaches to characterize intrinsically disordered/unstructured proteins.
    Dosztányi Z; Mészáros B; Simon I
    Brief Bioinform; 2010 Mar; 11(2):225-43. PubMed ID: 20007729
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Ising model for prediction of disordered residues from protein sequence alone.
    Lobanov MY; Galzitskaya OV
    Phys Biol; 2011 Jun; 8(3):035004. PubMed ID: 21572175
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Using Bayesian multinomial classifier to predict whether a given protein sequence is intrinsically disordered.
    Bulashevska A; Eils R
    J Theor Biol; 2008 Oct; 254(4):799-803. PubMed ID: 18611404
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of the protein structural class by specific peptide frequencies.
    Costantini S; Facchiano AM
    Biochimie; 2009 Feb; 91(2):226-9. PubMed ID: 18957316
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Predicting intrinsic disorder from amino acid sequence.
    Obradovic Z; Peng K; Vucetic S; Radivojac P; Brown CJ; Dunker AK
    Proteins; 2003; 53 Suppl 6():566-72. PubMed ID: 14579347
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Statistical geometry based prediction of nonsynonymous SNP functional effects using random forest and neuro-fuzzy classifiers.
    Barenboim M; Masso M; Vaisman II; Jamison DC
    Proteins; 2008 Jun; 71(4):1930-9. PubMed ID: 18186470
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Subclassifying disordered proteins by the CH-CDF plot method.
    Huang F; Oldfield C; Meng J; Hsu WL; Xue B; Uversky VN; Romero P; Dunker AK
    Pac Symp Biocomput; 2012; ():128-39. PubMed ID: 22174269
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Kernel methods for predicting protein-protein interactions.
    Ben-Hur A; Noble WS
    Bioinformatics; 2005 Jun; 21 Suppl 1():i38-46. PubMed ID: 15961482
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of disordered regions in proteins from position specific score matrices.
    Jones DT; Ward JJ
    Proteins; 2003; 53 Suppl 6():573-8. PubMed ID: 14579348
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Amino acid propensities for secondary structures are influenced by the protein structural class.
    Costantini S; Colonna G; Facchiano AM
    Biochem Biophys Res Commun; 2006 Apr; 342(2):441-51. PubMed ID: 16487481
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evolutionary rate heterogeneity in proteins with long disordered regions.
    Brown CJ; Takayama S; Campen AM; Vise P; Marshall TW; Oldfield CJ; Williams CJ; Dunker AK
    J Mol Evol; 2002 Jul; 55(1):104-10. PubMed ID: 12165847
    [TBL] [Abstract][Full Text] [Related]  

  • 20. POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions.
    Hirose S; Shimizu K; Kanai S; Kuroda Y; Noguchi T
    Bioinformatics; 2007 Aug; 23(16):2046-53. PubMed ID: 17545177
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.