识别冠状病毒亚属的原型株基因组靶点选择

M. Chaley, V. Kutyrkin
{"title":"识别冠状病毒亚属的原型株基因组靶点选择","authors":"M. Chaley, V. Kutyrkin","doi":"10.17537/2023.18.267","DOIUrl":null,"url":null,"abstract":"\n 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.\n","PeriodicalId":53525,"journal":{"name":"Mathematical Biology and Bioinformatics","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Choice of Target in the Genomes of Prototypic Strains to Recognize Subgenus of Coronaviruses\",\"authors\":\"M. Chaley, V. Kutyrkin\",\"doi\":\"10.17537/2023.18.267\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n 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.\\n\",\"PeriodicalId\":53525,\"journal\":{\"name\":\"Mathematical Biology and Bioinformatics\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematical Biology and Bioinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17537/2023.18.267\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Biology and Bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17537/2023.18.267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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
期刊最新文献
Modeling Growth and Photoadaptation of Porphyridium purpureum Batch Culture Mathematical Modeling of the Initial Period of Spread of HIV-1 Infection in the Lymphatic Node Mathematical Model of Closed Microecosystem “Algae – Heterotrophic Bacteria” Using a Drug Repurposing Strategy to Virtually Screen Potential HIV-1 Entry Inhibitors That Block the NHR Domain of the Viral Envelope Protein gp41 Applying Laplace Transformation on Epidemiological Models as Caputo Derivatives
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1