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 *

257 related articles for article (PubMed ID: 10081963)

  • 21. A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach.
    Hua S; Sun Z
    J Mol Biol; 2001 Apr; 308(2):397-407. PubMed ID: 11327775
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A novel method for protein secondary structure prediction using dual-layer SVM and profiles.
    Guo J; Chen H; Sun Z; Lin Y
    Proteins; 2004 Mar; 54(4):738-43. PubMed ID: 14997569
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A simple strategy to enhance the speed of protein secondary structure prediction without sacrificing accuracy.
    Juan SH; Chen TR; Lo WC
    PLoS One; 2020; 15(6):e0235153. PubMed ID: 32603341
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. PS4: a next-generation dataset for protein single-sequence secondary structure prediction.
    Peracha O
    Biotechniques; 2024 Feb; 76(2):63-70. PubMed ID: 37997848
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A graphic approach to evaluate algorithms of secondary structure prediction.
    Zhang CT; Zhang R
    J Biomol Struct Dyn; 2000 Apr; 17(5):829-42. PubMed ID: 10798528
    [TBL] [Abstract][Full Text] [Related]  

  • 27. HYPROSP II--a knowledge-based hybrid method for protein secondary structure prediction based on local prediction confidence.
    Lin HN; Chang JM; Wu KP; Sung TY; Hsu WL
    Bioinformatics; 2005 Aug; 21(15):3227-33. PubMed ID: 15932901
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A seqlet-based maximum entropy Markov approach for protein secondary structure prediction.
    Dong Q; Wang X; Lin L; Guan Y
    Sci China C Life Sci; 2005 Aug; 48(4):394-405. PubMed ID: 16248433
    [TBL] [Abstract][Full Text] [Related]  

  • 29. The influence of gapped positions in multiple sequence alignments on secondary structure prediction methods.
    Simossis VA; Heringa J
    Comput Biol Chem; 2004 Dec; 28(5-6):351-66. PubMed ID: 15556476
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Redefining the goals of protein secondary structure prediction.
    Rost B; Sander C; Schneider R
    J Mol Biol; 1994 Jan; 235(1):13-26. PubMed ID: 8289237
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Improving protein secondary structure prediction using a multi-modal BP method.
    Qu W; Sui H; Yang B; Qian W
    Comput Biol Med; 2011 Oct; 41(10):946-59. PubMed ID: 21880310
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Cascaded bidirectional recurrent neural networks for protein secondary structure prediction.
    Chen J; Chaudhari N
    IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(4):572-582. PubMed ID: 17975269
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Secondary structure prediction using segment similarity.
    Rychlewski L; Godzik A
    Protein Eng; 1997 Oct; 10(10):1143-53. PubMed ID: 9488139
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Robust prediction of consensus secondary structures using averaged base pairing probability matrices.
    Kiryu H; Kin T; Asai K
    Bioinformatics; 2007 Feb; 23(4):434-41. PubMed ID: 17182698
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Quantification of secondary structure prediction improvement using multiple alignments.
    Levin JM; Pascarella S; Argos P; Garnier J
    Protein Eng; 1993 Nov; 6(8):849-54. PubMed ID: 8309932
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Protein secondary structure: entropy, correlations and prediction.
    Crooks GE; Brenner SE
    Bioinformatics; 2004 Jul; 20(10):1603-11. PubMed ID: 14988117
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Improved Chou-Fasman method for protein secondary structure prediction.
    Chen H; Gu F; Huang Z
    BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S14. PubMed ID: 17217506
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prediction of secondary structural content of proteins from their amino acid composition alone. I. New analytic vector decomposition methods.
    Eisenhaber F; Imperiale F; Argos P; Frömmel C
    Proteins; 1996 Jun; 25(2):157-68. PubMed ID: 8811732
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.