基于甲流病毒突变度的疫情早期预警模型

Early Warning of Influenza Virus HA Protein Sequences

DOI:10.3969/j.issn.1673-1689.2017.05.016

中文关键词: 甲型流感 HA蛋白质 氨基酸序列 突变度

英文关键词: influenza,HA protein,amino acid sequences,mutation degree

基金项目:

作者

单位

汪康

江南大学 理学院江苏 无锡 214122

高洁

江南大学 理学院江苏 无锡 214122

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中文摘要:

通过比较每年与其上一年报道的甲流病毒HA蛋白质序列之间的差异,构建了突变度的算法。对所选的1916~2014年HA蛋白质序列利用此算法计算出每年的突变度,观察到这4次大型流感爆发年份的突变度值都比相邻的年份要高,并且突变度值越大,流感的范围和影响就越大。结果表明这种方法建立的比较合理,效果不错。这对流感爆发的研究、预警和防御有着重要的意义。

英文摘要:

This article constructed the algorithm of mutation degree by comparing the difference of two consecutive year's reports on HA protein sequences of pandemic influenza virus. Based on 1916~2014 HA protein sequences,the mutations of every year were calculated by the algorithm,and thus it was observed that the mutation values of four major flu outbreak years were higher than those of the adjacent years,and the higher of the mutation value,the greater the scope and impact of pandemic influenza. This approach was rational and would benefit the study of influenza outbreak as well as the early warning and defense.

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