The Community for Technology Leaders
2015 International Conference on Big Data and Smart Computing (BigComp) (2015)
Jeju, South Korea
Feb. 9, 2015 to Feb. 11, 2015
ISBN: 978-1-4799-7303-3
pp: 19-22
Subin Yoon , Department of Natural Science, Hankuk Academy of Foreign Studies, HAFS Yongin, South Korea
Jinwon Kwon , Department of Natural Science, Hankuk Academy of Foreign Studies, HAFS Yongin, South Korea
Junhong Won , Department of Natural Science, Hankuk Academy of Foreign Studies, HAFS Yongin, South Korea
Chaewon Ham , Department of Natural Science, Hankuk Academy of Foreign Studies, HAFS Yongin, South Korea
Taeseon Yoon , Department of Natural Science, Hankuk Academy of Foreign Studies, HAFS Yongin, South Korea
ABSTRACT
Both M81 and B95-8 are distinct strains belonged to Epstein-Barr Virus (EBV). However, as M81's target cell is epithelial cell and that of B95-8 is B cell, and common EBV vaccine only causes an effect only on B95-8, we can recognize that these two EBVs have different characteristics. In this paper, we analyzed DNA sequence using three algorithms: Apriori, Decision Tree, and support vector machine to search the reason why these differences appear even though EBV is in the same classification scheme. DNA used in this analysis can be sorted into three categories: BZLF1 and BRLF1 which control overall stages of DNA synthesis, and BALF4 which produces gp110 protein which is a target of EBV vaccine. Finally, we also analyzed LMP1 and LMP2 which newly invented EBV vaccine recognizes as a target, and came to a conclusion that it is probable that the vaccine will work on both viruses due to their similarities observed through our study.
INDEX TERMS
Amino acids, Support vector machines, Decision trees, Accuracy, Vaccines, Viruses (medical), Proteins
CITATION

S. Yoon, J. Kwon, J. Won, C. Ham and T. Yoon, "Analysis of genetic relationship of M81 and B95-in Epstein-Barr Virus: Comparison of M81 and B95-8 by using Apriori algorithm, decision tree, and support vector machine," 2015 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Jeju, South Korea, 2015, pp. 19-22.
doi:10.1109/35021BIGCOMP.2015.7072842
85 ms
(Ver 3.3 (11022016))