Protein Hotspot Prediction Using S-Transform

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 283)


Since experimental techniques of protein hotspot prediction are still financially extremely demanding and time consuming there is a strain to produce sufficiently reliable computational techniques for this particular task. We propose an algorithm based on Resonant Recognition Model relying heavily on signal processing techniques. Processed numerical signal is obtain solely form protein sequence using physical quantity EIIP. We therefore use no information of protein structure. The key element here is a time-frequency analysis tool – S-transform. This allows us to determine exact residues responsible for majority of performance on protein’s characteristic frequency. We achieve basic sensitivity of 85 % and PPV 49 %, while demanding very little computing resources, because simplicity is one of the biggest advantages of our approach.


Protein hotspots prediction signal processing electron-ion interaction potential resonant recognition model protein sequence S-transform time-frequency analysis 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jan Kasparek
    • 1
  • Denisa Maderankova
    • 1
  • Ewaryst Tkacz
    • 1
    • 2
  1. 1.Faculty of Electrical Engineering, Department of Biomedical EngineeringBrno University of TechnologyBrnoCzech Republic
  2. 2.Institute of Theoretical and Applied InformaticsPolish Academy of SciencesGliwicePoland

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