@inproceedings{e956cca34fe742edbdbd672754056aa6,
title = "Hot spot analysis by means of continuous wavelet transform and time-frequency filtering",
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 = "Continuous wavelet transform, Hot spot, Protein interactions",
author = "Anna Tamulewicz and Ewaryst Tkacz",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; Conference on Innovations in Biomedical Engineering, IBE 2018 ; Conference date: 18-10-2018 Through 20-10-2018",
year = "2019",
doi = "10.1007/978-3-030-15472-1\_16",
language = "English",
isbn = "9783030154714",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "141--148",
editor = "Ewaryst Tkacz and Marek Gzik and Zbigniew Paszenda and Ewa Pietka",
booktitle = "Innovations in Biomedical Engineering, IBE 2018",
address = "Germany",
}