Abstract
In this paper, discrete Fourier transform (DFT) and continuous wavelet transform (CWT) are used to predict the protein structure. Hydrophobicity plays a key role in the form of protein structure. The amino acid sequence is first mapped into hydrophobicity sequence, and then process it by DFT and CWT so that power spectral density is gained. The results show that continuous wavelet transform can extract the features of protein structure effectively and availably and has a tremendous development foreground.
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Zhang, S., Wang, T. Feature analysis of protein structure by using discrete Fourier transform and continuous wavelet transform. J Math Chem 46, 562–568 (2009). https://doi.org/10.1007/s10910-008-9480-6
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DOI: https://doi.org/10.1007/s10910-008-9480-6