Computational analysis of the synonymous codon usage bias in human coxsackievirus B3 strain 28

Quek, Albert and Tee, Sim-Hui (2013) Computational analysis of the synonymous codon usage bias in human coxsackievirus B3 strain 28. In: 2013 IEEE Business Engineering and Industrial Applications Colloquium (BEIAC). IEEE Xplore, 869 -873. ISBN 978-1-4673-5967-2

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Abstract

Coxsackievirus infection has impacts on cytokine level and signaling pathways in the hosts, which is always leading to diseases. The understanding of the expression patterns of the viral genes is vital for the development of therapy strategies. In this study, we adopted a computational approach to analyze the synonymous codon usage bias in human coxsackievirus B3 strain 28. The factors of the preferential codon usage were studied. Neither compositional constraints nor translational selection was identified to be a significant factor that influences the overall codon usage variation in our studied virus. Our findings have unveiled the gene expression patterns of this virus. These findings can be used to better understand the immunologic mechanism of the pathogenesis incurred by human coxsackievirus B3.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 20 Feb 2014 02:04
Last Modified: 20 Feb 2014 02:04
URI: http://shdl.mmu.edu.my/id/eprint/5295

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