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Journal Abstract Search


236 related items for PubMed ID: 17174938

  • 1. Using amino acid and peptide composition to predict membrane protein types.
    Yang XG, Luo RY, Feng ZP.
    Biochem Biophys Res Commun; 2007 Feb 02; 353(1):164-9. PubMed ID: 17174938
    [Abstract] [Full Text] [Related]

  • 2. Using optimized evidence-theoretic K-nearest neighbor classifier and pseudo-amino acid composition to predict membrane protein types.
    Shen H, Chou KC.
    Biochem Biophys Res Commun; 2005 Aug 19; 334(1):288-92. PubMed ID: 16002049
    [Abstract] [Full Text] [Related]

  • 3. MemType-2L: a web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM.
    Chou KC, Shen HB.
    Biochem Biophys Res Commun; 2007 Aug 24; 360(2):339-45. PubMed ID: 17586467
    [Abstract] [Full Text] [Related]

  • 4. Weighted-support vector machines for predicting membrane protein types based on pseudo-amino acid composition.
    Wang M, Yang J, Liu GP, Xu ZJ, Chou KC.
    Protein Eng Des Sel; 2004 Jun 24; 17(6):509-16. PubMed ID: 15314209
    [Abstract] [Full Text] [Related]

  • 5. Predicting membrane protein type by functional domain composition and pseudo-amino acid composition.
    Cai YD, Chou KC.
    J Theor Biol; 2006 Jan 21; 238(2):395-400. PubMed ID: 16040052
    [Abstract] [Full Text] [Related]

  • 6. Prediction of membrane protein types by incorporating amphipathic effects.
    Chou KC, Cai YD.
    J Chem Inf Model; 2005 Jan 21; 45(2):407-13. PubMed ID: 15807506
    [Abstract] [Full Text] [Related]

  • 7. On the derivation of propensity scales for predicting exposed transmembrane residues of helical membrane proteins.
    Park Y, Helms V.
    Bioinformatics; 2007 Mar 15; 23(6):701-8. PubMed ID: 17237049
    [Abstract] [Full Text] [Related]

  • 8. Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition.
    Wang SQ, Yang J, Chou KC.
    J Theor Biol; 2006 Oct 21; 242(4):941-6. PubMed ID: 16806277
    [Abstract] [Full Text] [Related]

  • 9. Prediction of membrane protein types and subcellular locations.
    Chou KC, Elrod DW.
    Proteins; 1999 Jan 01; 34(1):137-53. PubMed ID: 10336379
    [Abstract] [Full Text] [Related]

  • 10. Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition.
    Shen HB, Yang J, Chou KC.
    J Theor Biol; 2006 May 07; 240(1):9-13. PubMed ID: 16197963
    [Abstract] [Full Text] [Related]

  • 11. Prediction of the burial status of transmembrane residues of helical membrane proteins.
    Park Y, Hayat S, Helms V.
    BMC Bioinformatics; 2007 Aug 20; 8():302. PubMed ID: 17708758
    [Abstract] [Full Text] [Related]

  • 12. OCTOPUS: improving topology prediction by two-track ANN-based preference scores and an extended topological grammar.
    Viklund H, Elofsson A.
    Bioinformatics; 2008 Aug 01; 24(15):1662-8. PubMed ID: 18474507
    [Abstract] [Full Text] [Related]

  • 13. Using pseudo amino acid composition to predict transmembrane regions in protein: cellular automata and Lempel-Ziv complexity.
    Diao Y, Ma D, Wen Z, Yin J, Xiang J, Li M.
    Amino Acids; 2008 Jan 01; 34(1):111-7. PubMed ID: 17520325
    [Abstract] [Full Text] [Related]

  • 14. ZPRED: predicting the distance to the membrane center for residues in alpha-helical membrane proteins.
    Granseth E, Viklund H, Elofsson A.
    Bioinformatics; 2006 Jul 15; 22(14):e191-6. PubMed ID: 16873471
    [Abstract] [Full Text] [Related]

  • 15. An ensemble of support vector machines for predicting the membrane protein type directly from the amino acid sequence.
    Nanni L, Lumini A.
    Amino Acids; 2008 Oct 15; 35(3):573-80. PubMed ID: 18427715
    [Abstract] [Full Text] [Related]

  • 16. Prediction of DNA-binding residues from sequence.
    Ofran Y, Mysore V, Rost B.
    Bioinformatics; 2007 Jul 01; 23(13):i347-53. PubMed ID: 17646316
    [Abstract] [Full Text] [Related]

  • 17. Predicting membrane protein types using residue-pair models based on reduced similarity dataset.
    Yang XG, Feng ZP.
    J Biomol Struct Dyn; 2002 Oct 01; 20(2):163-72. PubMed ID: 12354068
    [Abstract] [Full Text] [Related]

  • 18. Low-frequency Fourier spectrum for predicting membrane protein types.
    Liu H, Wang M, Chou KC.
    Biochem Biophys Res Commun; 2005 Oct 28; 336(3):737-9. PubMed ID: 16140260
    [Abstract] [Full Text] [Related]

  • 19. Hydropathy analysis to correlate structure and function of proteins.
    Damodharan L, Pattabhi V.
    Biochem Biophys Res Commun; 2004 Oct 22; 323(3):996-1002. PubMed ID: 15381098
    [Abstract] [Full Text] [Related]

  • 20. Support vector machines for predicting membrane protein types by using functional domain composition.
    Cai YD, Zhou GP, Chou KC.
    Biophys J; 2003 May 22; 84(5):3257-63. PubMed ID: 12719255
    [Abstract] [Full Text] [Related]


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