| Summary: | 碩士 === 國立臺南大學 === 資訊教育研究所碩士班 === 93 === HBV genotype may impact the response of antiviral treatment. HBV include seven genotypes (A to H) which are categorized by analysis of viral nucleotide sequences. This classification of HBV strains in terms of genome sequence has been proven to be a great tool in understanding of HBV epidemiology and evolution.
In addition, different HBV genotype produces special genetic, structural, and clinically significant differences. Response to antiviral treatment and long-term prognosis may differ depending on which genotype has infected the patient. In order to characterize the HBV genome among the different genotype and establish a perfect method to identify HBV genotype in infected patients, the HBV genome sequence about 400 sequences from NCBI database were downloaded and aligned by Clustal X. These sequences were sorted into seven groups of HBV genotypes and also showed to phylogenic tree by the Neighbor-Joining and Kimura 2-parameter of Mega system. After sorting these sequences into seven genotypes, the analysis software will help us to know which consensus regions are specific in the genome of different HBV genotypes and what the expression rate is. On the other hand, the highly mutation region will be also detected in the analysis system. Therefore, the character among different HBV genotypes will be identified and a new perfect method which identified HBV genotypes will be set up. After acquiring paients’diagnostic insults, we will adopt neural network to predict whether e seroconversion could happen or not in the fature.
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