Analyzing the DNA Sequences Differences of Family Adenoviridae to Track out the Inner Amine Protein Features by Using Apriori Algorithm

Adenoviruses are medium-sized, nonenveloped viruses with an icosahedral nucleocapsid containing a double stranded DNA genome. Adenoviruses causes 57 distinct adenoviral serotypes from mild respiratory infections in young children to life-threatening multi-organ disease especially only in human. To be specific, to track out the particular reason why adenoviruses reacts negatively only to human immune systems, we concentrate on analyzing and comparing main factor of DNA sequences among 5 types of adenovirus, referred to as family adenoviridae including human adenoviruses. And further on, in this paper, we would research on analyzing the inner source of DNA sequences and make distinctions on each type. And in the process of comparing the common features and differences of amine proteins that each type has, we can bring up the potential of developing remedy of adenovirus in DNA point of view. As the experiment method to be efficiently taken, we suggest to bring in the Apriori algorithm for frequent DNA set mining and association rule learning over broad databases. And for the calculation of random variables in each adenovirus, we used shanon entropy. Therefore, by experimenting DNA sequences of family adenoviridae, we found out better results for analyzing amine protein components and state the potential of developing medical remedy associated with amines.