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 *

232 related articles for article (PubMed ID: 21152409)

  • 1. NetTurnP--neural network prediction of beta-turns by use of evolutionary information and predicted protein sequence features.
    Petersen B; Lundegaard C; Petersen TN
    PLoS One; 2010 Nov; 5(11):e15079. PubMed ID: 21152409
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A neural network method for prediction of beta-turn types in proteins using evolutionary information.
    Kaur H; Raghava GP
    Bioinformatics; 2004 Nov; 20(16):2751-8. PubMed ID: 15145798
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments.
    Zheng C; Kurgan L
    BMC Bioinformatics; 2008 Oct; 9():430. PubMed ID: 18847492
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of β-turn types in protein by using composite vector.
    Shi X; Hu X; Li S; Liu X
    J Theor Biol; 2011 Oct; 286(1):24-30. PubMed ID: 21781975
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A new clustering and nomenclature for beta turns derived from high-resolution protein structures.
    Shapovalov M; Vucetic S; Dunbrack RL
    PLoS Comput Biol; 2019 Mar; 15(3):e1006844. PubMed ID: 30845191
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. High accuracy prediction of beta-turns and their types using propensities and multiple alignments.
    Fuchs PF; Alix AJ
    Proteins; 2005 Jun; 59(4):828-39. PubMed ID: 15822097
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting beta-turns and their types using predicted backbone dihedral angles and secondary structures.
    Kountouris P; Hirst JD
    BMC Bioinformatics; 2010 Jul; 11():407. PubMed ID: 20673368
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Redesigning the type II' β-turn in green fluorescent protein to type I': implications for folding kinetics and stability.
    Madan B; Sokalingam S; Raghunathan G; Lee SG
    Proteins; 2014 Oct; 82(10):2812-22. PubMed ID: 25044033
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using predicted shape string to enhance the accuracy of γ-turn prediction.
    Zhu Y; Li T; Li D; Zhang Y; Xiong W; Sun J; Tang Z; Chen G
    Amino Acids; 2012 May; 42(5):1749-55. PubMed ID: 21424809
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting β-turns in protein using kernel logistic regression.
    Elbashir MK; Sheng Y; Wang J; Wu F; Li M
    Biomed Res Int; 2013; 2013():870372. PubMed ID: 23509793
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of the location and type of beta-turns in proteins using neural networks.
    Shepherd AJ; Gorse D; Thornton JM
    Protein Sci; 1999 May; 8(5):1045-55. PubMed ID: 10338015
    [TBL] [Abstract][Full Text] [Related]  

  • 13. BetaTPred: prediction of beta-TURNS in a protein using statistical algorithms.
    Kaur H; Raghava GP
    Bioinformatics; 2002 Mar; 18(3):498-9. PubMed ID: 11934756
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of beta-turns in proteins from multiple alignment using neural network.
    Kaur H; Raghava GP
    Protein Sci; 2003 Mar; 12(3):627-34. PubMed ID: 12592033
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analysis and identification of beta-turn types using multinomial logistic regression and artificial neural network.
    Asgary MP; Jahandideh S; Abdolmaleki P; Kazemnejad A
    Bioinformatics; 2007 Dec; 23(23):3125-30. PubMed ID: 17599929
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of beta-turns and beta-turn types by a novel bidirectional Elman-type recurrent neural network with multiple output layers (MOLEBRNN).
    Kirschner A; Frishman D
    Gene; 2008 Oct; 422(1-2):22-9. PubMed ID: 18598743
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of pi-turns in proteins using PSI-BLAST profiles and secondary structure information.
    Wang Y; Xue ZD; Shi XH; Xu J
    Biochem Biophys Res Commun; 2006 Sep; 347(3):574-80. PubMed ID: 16844090
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improved method for predicting beta-turn using support vector machine.
    Zhang Q; Yoon S; Welsh WJ
    Bioinformatics; 2005 May; 21(10):2370-4. PubMed ID: 15797917
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. An evaluation of beta-turn prediction methods.
    Kaur H; Raghava GP
    Bioinformatics; 2002 Nov; 18(11):1508-14. PubMed ID: 12424123
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.