Proteins Similarities Analysis Base On Discrete Wavelet Transform

Now in Mexico, an outbreak of swine influenza type A influenza virus from pigs caused by respiratory diseases depend on preliminary study to detect which is influenza A virus, carrying the H1N1 subtype swine influenza virus strains, including avian flu, swine three kinds of influenza and human influenza genes of influenza virus DNA fragments which have both Asian and African swine flu swine influenza virus signatures. Because the H1N1 can directly infect humans and cause human illness or death, we should significantly increase our public health significance and strengthen research in the world economy to reduce losses and improve the health of human health. It has far-reaching significance.Different side chains constitute a different amino acid which determines a variety of amino acids with different properties, including hydrophobic interaction which is the most important. Hydrophobic interaction largely determines the protein structure stability. We not only consider the hydrophobic characteristics, we also considered the other 9 kinds of the physical chemical properties of amino acids. Through the above physical chemical properties of amino acids and adding wavelet transform, feature extraction in the wavelet domain, we can get establishment of similarity measure.Wavelet transform is a widely used mathematical analysis methods, it also has the time - frequency localization characteristics as well as multi-resolution characteristics. Wavelet transform is a time window and frequency window which can change the time - frequency localization analysis method, namely, low-frequency part of the high frequency resolution and lower temporal resolution, in the high-frequency part of the high time resolution and low frequency resolution. Continuous wavelet transform due to continuous changes in scale than the use of discrete wavelet transform to extract the signal appear more rich, detailed and comprehensive. Continuous wavelet transform scale can be a continuous change in the scale than the choice of discrete wavelet transform easier to control. Wavelet Transform in bioinformatics, including the three main directions of genome sequence analysis, structure and gene expression data analysis research has applications, but also produced very good results. In the study of protein structure, wavelet transform has been applied to all aspects of structure, including a sequence of evolutionary studies of protein, secondary structure and tertiary structure, identification and function prediction, fine X-ray crystal structures.In this paper, we concern a hot issue for the current study: influenza analysis of the data studied. We collect 10 physical and chemical properties of amino acids, and then transformed the amino acid sequence to generate a variety of amino acid sequence corresponding to the physical chemical properties to get the data forms, the data generated by wavelet transform analysis. Then the similarity analysis of protein . Finally, according to downloaded secondary structure of proteins from PORTER we compare them to verify the results of the analysis of protein similarity. We can see from the results, according to the amino acid sequence and its physical chemical properties and wavelet transform used, we can carry out a reasonable similarity of protein analysis.