Accuracy in Predicting Secondary Structure of Ionic Channels

  • Bogumil Konopka
  • Witold Dyrka
  • Jean-Christophe Nebel
  • Malgorzata Kotulska
Part of the Studies in Computational Intelligence book series (SCI, volume 244)


Ionic channels are among the most difficult proteins for experimental structure determining, very few of them has been resolved. Bioinformatical tools has not been tested for this specific protein group. In the paper, prediction quality of ionic channel secondary structure is evaluated. The tests were carried out with general protein predictors and predictors only for transmembrane segments. The predictor performance was measured by the accuracy per residue Q and per segment SOV. The evaluation comparing ionic channels and other transmembrane proteins shows that ionic channels are only slightly more difficult objects for modeling than transmembrane proteins; the modeling quality is comparable with a general set of all proteins. Prediction quality showed dependence on the ratio of secondary structures in the ionic channel. Surprisingly, general purpose PSIPRED predictor outperformed other general but also dedicated transmembrane predictors under evaluation.


ionic channel secondary structure prediction 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Bogumil Konopka
    • 1
  • Witold Dyrka
    • 1
  • Jean-Christophe Nebel
    • 2
  • Malgorzata Kotulska
    • 1
  1. 1.Institute of Biomedical Engineering and InstrumentationWroclaw University of TechnologyWroclawPoland
  2. 2.Faculty of Computing, Information Systems & Mathematics, Kingston Upon ThamesKingston UniversitySurreyUnited Kingdom

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