Abstract. Hand, foot and mouth disease (HFMD), caused by highly infectious intestinal viruses of either coxsackievirus A16 (CVA16) or enterovirus 71 (EV71), is a common children syndrome featured by mild fever, spots and bumps that blister the skin of hands, oral cavity in mouth, feet and sometimes to the extent of buttocks and genitalia. Though CVA16 and EV71 both cause the HFMD, the intensity of each symptom is obviously different. Normal cases are HFMD by CVA16, which are typically characterized by mild symptoms usually treated in 6−8 days. Conversely, HFMD by EV71 results severe neural disorders and various influenza complications that even cause death. Currently, no vaccine is available to protect individuals from infection by the viruses that cause HFMD. In order to investigate why these two viruses have too much differences in degree of symptoms and compare the inner relationships to the medical effects, we analyzed the genomes of CVA16 and EV71 by using apriori algorithm, decision tree and support vector machine (SVM). Therefore, by comparing the genomes of each virus, we found out better results for analyzing the relationship between the two and state the potential of developing medical remedy in DNA point of view.

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. 