title: Hydrophobicity analysis of protein primary structures to identify helical regions.
abstract: OBJECTIVE
  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).
  
  
  CONCLUSIONS
  This method is particularly suitable to capture the amphiphilic character of the helical structures.
authors.affiliation: Department of Biomedical Engineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, 20133 Milano, Italy. pattini@biomed.polimi.it
authors.forename: L
authors.initials: L
authors.lastname: Pattini
authors.forename: S
authors.initials: S
authors.lastname: Cerutti
mesh_terms: D000595:Amino Acid Sequence; D006801:Humans; D057927:Hydrophobic and Hydrophilic Interactions; D021621:Imaging, Three-Dimensional; D008962:Models, Theoretical; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry*; D012815:Signal Processing, Computer-Assisted
chemical_list: D011506:Proteins