Construction of Multilevel Structure for Avian Influenza Virus System Based on Granular Computing.
Exploring the genetic structure of influenza viruses attracts the attention in the field of molecular ecology and medical genetics, whose epidemics cause morbidity and mortality worldwide. The rapid variations in RNA strand and changes of protein structure of the virus result in low-accuracy subtypi...
| Published in: | BioMed Research International Vol. 2017; pp. 1 - 8 |
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| Main Authors: | , , , , |
| Format: | algorithm equations & formulas research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
1/16/2017
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=120749397&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 120749397 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 1/16/2017 vid: 2017 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 120749397 120749397 120749397 10.1155/2017/5404180 120749397 ppf: 1 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Construction of Multilevel Structure for Avian Influenza Virus System Based on Granular Computing. aug: au: Li, Yang Liang, Qi-Hao Sun, Meng-Meng Tang, Xu-Qing Zhu, Ping affil: School of Science, Jiangnan University, Wuxi 214122, China sug: subj: Influenza A Virus Human Models, Structural Computing Methodologies Influenza, Avian Physiopathology RNA Proteins Genome Funding Source ab: Exploring the genetic structure of influenza viruses attracts the attention in the field of molecular ecology and medical genetics, whose epidemics cause morbidity and mortality worldwide. The rapid variations in RNA strand and changes of protein structure of the virus result in low-accuracy subtyping identification and make it difficult to develop effective drugs and vaccine. This paper constructs the evolutionary structure of avian influenza virus system considering both hemagglutinin and neuraminidase protein fragments. An optimization model was established to determine the rational granularity of the virus system for exploring the intrinsic relationship among the subtypes based on the fuzzy hierarchical evaluation index. Thus, an algorithm was presented to extract the rational structure. Furthermore, to reduce the systematic and computational complexity, the granular signatures of virus system were identified based on the coarse-grained idea and then its performance was evaluated through a designed classifier. The results showed that the obtained virus signatures could approximate and reflect the whole avian influenza virus system, indicating that the proposed method could identify the effective virus signatures. Once a new molecular virus is detected, it is efficient to identify the homologous virus hierarchically. pubtype: Academic Journal doctype: algorithm equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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