Finding Correlated Mutations among RNA Segments in H3N2 Influenza Viruses

被引：0

作者：

Shimada, Takaharu ^{[2
]}

Hazemoto, Tatsuya ^{[1
,3
]}

makino, Shunsuke ^{[2
]}

Hirata, Kouichi ^{[1
]}

Ito, Kimihito ^{[4
]}

机构：

[1] Kyushu Inst Technol, Dept Artificial Intelligence & Biomed Informat, R&D Ctr, Kawazu 680-4, Iizuka, Fukuoka 8208502, Japan

[2] Kyushu Inst Technol, Grad Sch Comp Sci & Syst Engn, Iizuka, Fukuoka 8208502, Japan

[3] Kyushu Inst Technol, Dept Artificial Intelligence, Iizuka, Fukuoka 8208502, Japan

[4] Hokkaido Univ, Res Ctr Zoonosis Control, Sapporo, Hokkaido 0010020, Japan

来源：

6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS | 2012年

基金：

日本学术振兴会;

关键词：

packaging signal; influenza viruses; correlated mutation; A VIRUS; VIRAL-RNA; PACKAGING SIGNALS; VIRIONS; REPLICATION; REGIONS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to capture a selective packaging mechanism among eight RNA segments in influenza A viruses, we assume that almost nucleotides in the positions of packaging signals must be simultaneously changed. In this paper, we formulate such positions as correlated mutations based on a joint entropy ratio, develop a method of finding all of them by using set enumeration with pruning and apply to nucleotide sequences among RNA segments in H3N2 influenza viruses.

引用

页码：1696 / 1701

页数：6

共 13 条

[11] Nucleotide Sequence Requirements at the 5′ End of the Influenza A Virus M RNA Segment for Efficient Virus Replication [J].