识别冠状病毒亚属的原型株基因组靶点选择

Q3 Mathematics
M. Chaley, V. Kutyrkin
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引用次数: 0

摘要

提出了基于核衣壳蛋白n基因密码子频率分布的冠状病毒亚属识别方法。对冠状病毒4属23个亚属的67个原型菌株的基因组n基因密码子频率分布进行了统计分析,计算了n基因密码子频率分布的偏差。这种偏离某些原型菌株的最小值指向该菌株所属的亚属。所提出的方法似乎是有效的,并且对识别冠状病毒亚属至少有99%的意义。根据遗传密码子的频率分布,从遗传密码子中选出38和7个能提供所需效率水平的密码子群体。这些群体的密码子勾勒出冠状病毒亚属的固定分类结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Choice of Target in the Genomes of Prototypic Strains to Recognize Subgenus of Coronaviruses
Targeted approach to recognition of coronavirus subgenus on the base of codon frequency distribution in the N-gene of nucleocapsid protein was proposed in the work. Deviation of codon frequency distribution in the N-gene of coronavirus genome analyzed from the same distributions for the 67 prototypic strains, which characterize the 23 subgenera in the four coronavirus genera, is calculated on the base of statistics in the approach proposed. The smallest value of such a deviation from certain prototypic strain points at subgenus to which this strain belongs. The approach proposed appeared to be effective and supports significance for recognizing coronavirus subgenus at least 99 %. Populations of the 38 and 7 codons providing for needed efficiency level were selected out of all codons of the genetic code in accordance with their frequency distribution. The codons from the populations outlined fix taxonomic structure of coronavirus subgenus.
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来源期刊
Mathematical Biology and Bioinformatics
Mathematical Biology and Bioinformatics Mathematics-Applied Mathematics
CiteScore
1.10
自引率
0.00%
发文量
13
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