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A Coding Theoretical Approach to Predict Sequence Changes in H5N1 Influenza A Virus Hemagglutinin

机译:一种预测H5N1流感血液血凝素的序列变化的编码理论方法

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The changes in the receptor binding domain of influenza A virus hemagglutinin lead to the appearance of new viral strains that evade the immune system. To prepare the future emergence of potentially dangerous outbreaks caused by divergent influenza strains including human-adapted H5N1 strains, it is imperative that we understand the rule stored in the sequence of the receptor binding domain. Information of life is stored as a sequence of nucleotides, and the sequence composed of four nucleotides seems to be a code. It is important to determine the code structure of the sequences. Once we know the code structure, we can make use of mathematical results concerning coding theory for research in life science. In this study, we applied various codes in coding theory to sequence analysis of the 220 loop in the receptor binding domain of H1, H3, H5 and H7 subtype viruses isolated from humans. Sequence diversity in the 220 loop has been observed even within the same hemagglutinin subtype. However, we found that the code structure of the 220 loop from the same subtype remains unchanged. Our results indicate that the sequences at the 220 loop have the structure of subtype-specific codes. In addition, in view of these finding, we predicted possible amino acid changes in the 220 loop of H5N1 strains that will emerge in the future. Our method will facilitate understanding of the evolutionary patterns of influenza A viruses, and further help the development of new antiviral drugs and vaccines.
机译:流感病毒血凝素的受体结合结构域的变化导致新病毒菌株的外观避免免疫系统。为了制定由包括人适应的H5N1菌株的不同流感菌株引起的未来出现潜在的危险爆发,我们必须了解存储在受体结合结构域序列中的规则。生命信息作为一系列核苷酸储存,并且由四个核苷酸组成的序列似乎是代码。确定序列的代码结构非常重要。一旦我们知道代码结构,我们就可以利用关于生命科学研究的编码理论的数学结果。在这项研究中,我们在编码理论中应用了各种代码,以对来自人分离的H1,H3,H5和H7亚型病毒的受体结合结构域中的220环的序列分析。甚至在相同的血凝素亚型内已经观察到220环中的序列分集。但是,我们发现,来自同一子类型的220环路的代码结构保持不变。我们的结果表明,220环的序列具有特定于亚型的亚型代码的结构。此外,鉴于这些发现,我们预计将来出现的220个H5N1菌株的氨基酸变化,这将来会出现。我们的方法将促进了解流感病毒的进化模式,并进一步帮助开发新的抗病毒药物和疫苗。

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