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Accuracy of Protein Hydropathy Predictions

Satu Jääskeläinen, Pentti Riikonen, Tapio Salakoski, Mauno Vihinen, Accuracy of Protein Hydropathy Predictions. Int. J. Data Mining and Bioinformatics, 4(6), 733-752, 2010.

Abstract:

Hydropathy is a dominant force in protein folding. Sequence-based
hydropathy predictions are widely used, without knowledge about their
accuracy and reliability. We investigated the prediction accuracy of 56
hydropathy scales by correlating predicted values with the accessible surface
area in known protein structures. Results for different amino acids vary greatly
within each scale. We also investigated prediction accuracies of amino acids
separately in secondary structural elements and in protein fold families. Despite
very low overall correlation, hydropathy predictions can still be used if the
shape of the plot is important instead of the prediction values.

BibTeX entry:

@ARTICLE{jJaRiSaVi10a,
  title = {Accuracy of Protein Hydropathy Predictions},
  author = {Jääskeläinen, Satu and Riikonen, Pentti and Salakoski, Tapio and Vihinen, Mauno},
  journal = {Int. J. Data Mining and Bioinformatics,},
  volume = {4},
  number = {6},
  pages = {733-752},
  year = {2010},
  keywords = {prediction accuracy; amino acid solvent accessibility; accuracy assessment.},
}

Belongs to TUCS Research Unit(s): Turku BioNLP Group

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