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 *

437 related articles for article (PubMed ID: 16428265)

  • 1. MultiLoc: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition.
    Höglund A; Dönnes P; Blum T; Adolph HW; Kohlbacher O
    Bioinformatics; 2006 May; 22(10):1158-65. PubMed ID: 16428265
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of subcellular protein localization based on functional domain composition.
    Jia P; Qian Z; Zeng Z; Cai Y; Li Y
    Biochem Biophys Res Commun; 2007 Jun; 357(2):366-70. PubMed ID: 17428441
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization.
    Chou KC; Shen HB
    Biochem Biophys Res Commun; 2006 Aug; 347(1):150-7. PubMed ID: 16808903
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SherLoc: high-accuracy prediction of protein subcellular localization by integrating text and protein sequence data.
    Shatkay H; Höglund A; Brady S; Blum T; Dönnes P; Kohlbacher O
    Bioinformatics; 2007 Jun; 23(11):1410-7. PubMed ID: 17392328
    [TBL] [Abstract][Full Text] [Related]  

  • 5. pTARGET [corrected] a new method for predicting protein subcellular localization in eukaryotes.
    Guda C; Subramaniam S
    Bioinformatics; 2005 Nov; 21(21):3963-9. PubMed ID: 16144808
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of protein subcellular localization.
    Yu CS; Chen YC; Lu CH; Hwang JK
    Proteins; 2006 Aug; 64(3):643-51. PubMed ID: 16752418
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Protein subcellular localization prediction using artificial intelligence technology.
    Nair R; Rost B
    Methods Mol Biol; 2008; 484():435-63. PubMed ID: 18592195
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure.
    Song J; Yuan Z; Tan H; Huber T; Burrage K
    Bioinformatics; 2007 Dec; 23(23):3147-54. PubMed ID: 17942444
    [TBL] [Abstract][Full Text] [Related]  

  • 9. BaCelLo: a balanced subcellular localization predictor.
    Pierleoni A; Martelli PL; Fariselli P; Casadio R
    Bioinformatics; 2006 Jul; 22(14):e408-16. PubMed ID: 16873501
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Implicit motif distribution based hybrid computational kernel for sequence classification.
    Atalay V; Cetin-Atalay R
    Bioinformatics; 2005 Apr; 21(8):1429-36. PubMed ID: 15598837
    [TBL] [Abstract][Full Text] [Related]  

  • 11. AAIndexLoc: predicting subcellular localization of proteins based on a new representation of sequences using amino acid indices.
    Tantoso E; Li KB
    Amino Acids; 2008 Aug; 35(2):345-53. PubMed ID: 18163182
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SubCellProt: predicting protein subcellular localization using machine learning approaches.
    Garg P; Sharma V; Chaudhari P; Roy N
    In Silico Biol; 2009; 9(1-2):35-44. PubMed ID: 19537160
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting protein structure classes from function predictions.
    Sommer I; Rahnenführer J; Domingues FS; de Lichtenberg U; Lengauer T
    Bioinformatics; 2004 Mar; 20(5):770-6. PubMed ID: 14751994
    [TBL] [Abstract][Full Text] [Related]  

  • 14. SherLoc2: a high-accuracy hybrid method for predicting subcellular localization of proteins.
    Briesemeister S; Blum T; Brady S; Lam Y; Kohlbacher O; Shatkay H
    J Proteome Res; 2009 Nov; 8(11):5363-6. PubMed ID: 19764776
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting protein stability changes from sequences using support vector machines.
    Capriotti E; Fariselli P; Calabrese R; Casadio R
    Bioinformatics; 2005 Sep; 21 Suppl 2():ii54-8. PubMed ID: 16204125
    [TBL] [Abstract][Full Text] [Related]  

  • 16. RSLpred: an integrative system for predicting subcellular localization of rice proteins combining compositional and evolutionary information.
    Kaundal R; Raghava GP
    Proteomics; 2009 May; 9(9):2324-42. PubMed ID: 19402042
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Prediction of subcellular localization using sequence-biased recurrent networks.
    Bodén M; Hawkins J
    Bioinformatics; 2005 May; 21(10):2279-86. PubMed ID: 15746276
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SVM-HUSTLE--an iterative semi-supervised machine learning approach for pairwise protein remote homology detection.
    Shah AR; Oehmen CS; Webb-Robertson BJ
    Bioinformatics; 2008 Mar; 24(6):783-90. PubMed ID: 18245127
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Support Vector Machine-based classification of protein folds using the structural properties of amino acid residues and amino acid residue pairs.
    Shamim MT; Anwaruddin M; Nagarajaram HA
    Bioinformatics; 2007 Dec; 23(24):3320-7. PubMed ID: 17989092
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.