Summary
Objectives:
A wavelet based approach for the hydrophobicity analysis of protein primary structures
is proposed to predict the presence of alpha helices in the secondary structure.
Methods:
The information about hydropathy profile periodicity content together with a score
of probability of occurrence of a single amino acid allows the localization of alpha
helices.
Results:
The accuracy is comparable to other consolidated predictors based on different techniques
(i.e.: neural networks, hidden markov models).
Conclusion:
This method is particularly suitable to capture the amphiphilic character of the
helical structures.
Keywords
Protein sequence - secondary structure - hydrophobicity - alpha helix - wavelet transform
