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Journal Abstract Search

1068 related items for PubMed ID: 18632749

  • 21. Modeling the functional consequences of single residue replacements in bacteriophage f1 gene V protein.
    Masso M, Mathe E, Parvez N, Hijazi K, Vaisman II.
    Protein Eng Des Sel; 2009 Nov; 22(11):665-71. PubMed ID: 19690089
    [Abstract] [Full Text] [Related]

  • 22. Average assignment method for predicting the stability of protein mutants.
    Saraboji K, Gromiha MM, Ponnuswamy MN.
    Biopolymers; 2006 May; 82(1):80-92. PubMed ID: 16453276
    [Abstract] [Full Text] [Related]

  • 23. Thermodynamic database for proteins: features and applications.
    Gromiha MM, Sarai A.
    Methods Mol Biol; 2010 May; 609():97-112. PubMed ID: 20221915
    [Abstract] [Full Text] [Related]

  • 24. Accurate prediction of solvent accessibility using neural networks-based regression.
    Adamczak R, Porollo A, Meller J.
    Proteins; 2004 Sep 01; 56(4):753-67. PubMed ID: 15281128
    [Abstract] [Full Text] [Related]

  • 25. Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.
    Han L, Cui J, Lin H, Ji Z, Cao Z, Li Y, Chen Y.
    Proteomics; 2006 Jul 01; 6(14):4023-37. PubMed ID: 16791826
    [Abstract] [Full Text] [Related]

  • 26. Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.
    Guerois R, Nielsen JE, Serrano L.
    J Mol Biol; 2002 Jul 05; 320(2):369-87. PubMed ID: 12079393
    [Abstract] [Full Text] [Related]

  • 27. PFRES: protein fold classification by using evolutionary information and predicted secondary structure.
    Chen K, Kurgan L.
    Bioinformatics; 2007 Nov 01; 23(21):2843-50. PubMed ID: 17942446
    [Abstract] [Full Text] [Related]

  • 28. Knowledge acquisition and development of accurate rules for predicting protein stability changes.
    Huang LT, Gromiha MM, Hwang SF, Ho SY.
    Comput Biol Chem; 2006 Dec 01; 30(6):408-15. PubMed ID: 17000135
    [Abstract] [Full Text] [Related]

  • 29. Modeling protein loops with knowledge-based prediction of sequence-structure alignment.
    Peng HP, Yang AS.
    Bioinformatics; 2007 Nov 01; 23(21):2836-42. PubMed ID: 17827204
    [Abstract] [Full Text] [Related]

  • 30. Improving protein secondary structure prediction using a multi-modal BP method.
    Qu W, Sui H, Yang B, Qian W.
    Comput Biol Med; 2011 Oct 01; 41(10):946-59. PubMed ID: 21880310
    [Abstract] [Full Text] [Related]

  • 31. Prediction of protein-RNA binding sites by a random forest method with combined features.
    Liu ZP, Wu LY, Wang Y, Zhang XS, Chen L.
    Bioinformatics; 2010 Jul 01; 26(13):1616-22. PubMed ID: 20483814
    [Abstract] [Full Text] [Related]

  • 32. Protein secondary structure prediction.
    Pirovano W, Heringa J.
    Methods Mol Biol; 2010 Jul 01; 609():327-48. PubMed ID: 20221928
    [Abstract] [Full Text] [Related]

  • 33. Prediction of turn types in protein structure by machine-learning classifiers.
    Meissner M, Koch O, Klebe G, Schneider G.
    Proteins; 2009 Feb 01; 74(2):344-52. PubMed ID: 18618702
    [Abstract] [Full Text] [Related]

  • 34. Identifying sequence regions undergoing conformational change via predicted continuum secondary structure.
    Bodén M, Bailey TL.
    Bioinformatics; 2006 Aug 01; 22(15):1809-14. PubMed ID: 16720586
    [Abstract] [Full Text] [Related]

  • 35. Machine learning approaches for prediction of linear B-cell epitopes on proteins.
    Söllner J, Mayer B.
    J Mol Recognit; 2006 Aug 01; 19(3):200-8. PubMed ID: 16598694
    [Abstract] [Full Text] [Related]

  • 36. Identification of computational hot spots in protein interfaces: combining solvent accessibility and inter-residue potentials improves the accuracy.
    Tuncbag N, Gursoy A, Keskin O.
    Bioinformatics; 2009 Jun 15; 25(12):1513-20. PubMed ID: 19357097
    [Abstract] [Full Text] [Related]

  • 37.
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  • 38. 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 15; 23(24):3320-7. PubMed ID: 17989092
    [Abstract] [Full Text] [Related]

  • 39. Integrated prediction of the effect of mutations on multiple protein characteristics.
    Johnston MA, Søndergaard CR, Nielsen JE.
    Proteins; 2011 Jan 15; 79(1):165-78. PubMed ID: 21058401
    [Abstract] [Full Text] [Related]

  • 40. Prediction of transmembrane regions of beta-barrel proteins using ANN- and SVM-based methods.
    Natt NK, Kaur H, Raghava GP.
    Proteins; 2004 Jul 01; 56(1):11-8. PubMed ID: 15162482
    [Abstract] [Full Text] [Related]

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