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  • 标题:Improving Virus C type 4 Interferon using Bioinformatics Techniques
  • 本地全文:下载
  • 作者:Attalah Hashad ; Khaled Kamal ; Ahmed Fahmy
  • 期刊名称:Journal of Emerging Trends in Computing and Information Sciences
  • 电子版ISSN:2079-8407
  • 出版年度:2012
  • 卷号:3
  • 期号:6
  • 页码:885-895
  • 出版社:ARPN Publishers
  • 摘要:Hepatitis C is a predominant genotype found throughout the Middle East and parts of Africa, with high population prevalence in Egypt. Due to the world’s constant effort to find treatment for this fatal disease; many researches and trials have been made. It has become evident that virus C itself envelopes a self destructive gene [1], which if activated by a specific order to the mRNA aboard the virus, forms interferon. Interferon is an anti-viral if produced from virus C itself becomes specific only to it. Through a variety of bioinformatics tools we architect algorithms to enhance the chance of finding this gene which order the mRNA to produce the virus C specific interferon .Tools such as RNA to protein synthesis, gene prediction, protein classification and gene classification have been constructed and tried to reach this goal .As a result of these trials, several matches were made with alternating percentages but at least acknowledging the possibility this interferon/RNA analysis.
  • 关键词:Virus C type 4; Interferon; RNA; DNA; Hidden Markov Models
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