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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Improving Virus C type 4 Interferon using Bioinformatics Techniques

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Author Attalah Hashad, Khaled Kamal, Ahmed Fahmy, Amr Badr
ISSN 2079-8407
On Pages 885-895
Volume No. 3
Issue No. 6
Issue Date June 01, 2012
Publishing Date June 01, 2012
Keywords Virus C type 4, Interferon, RNA, DNA, Hidden Markov Models


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.  


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