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Hot Spot Analysis by Means of Continuous Wavelet Transform and Time-Frequency Filtering

  • Anna TamulewiczEmail author
  • Ewaryst Tkacz
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 925)

Abstract

In the paper, the analysis of hot spots in proteins with the aid of digital signal processing methods was conducted. The algorithm employs time-frequency filtering and continuous wavelet transform (CWT); its aim is to find amino acid regions where the characteristic frequency is dominant by detecting peaks in energy plot. The research showed that the choice of wavelet function has big impact on the results. The best results were achieved by using CWT with the Morlet wavelet and the sixth order derivative of a Gaussian wavelet.

Keywords

Hot spot Protein interactions Continuous wavelet transform 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Biosensors and Biomedical Signal Processing, Faculty of Biomedical EngineeringSilesian University of TechnologyZabrzePoland

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