title: Construction of Multilevel Structure for Avian Influenza Virus System Based on Granular Computing.
abstract: 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.
authors.affiliation: School of Science, Jiangnan University, Wuxi 214122, China.
authors.forename: Yang
authors.identifier: 0000-0001-7030-7209
authors.initials: Y
authors.lastname: Li
authors.affiliation: School of Science, Jiangnan University, Wuxi 214122, China.
authors.forename: Qi-Hao
authors.identifier: 0000-0002-7907-8403
authors.initials: QH
authors.lastname: Liang
authors.affiliation: School of Science, Jiangnan University, Wuxi 214122, China.
authors.forename: Meng-Meng
authors.initials: MM
authors.lastname: Sun
authors.affiliation: School of Science, Jiangnan University, Wuxi 214122, China.
authors.forename: Xu-Qing
authors.initials: XQ
authors.lastname: Tang
authors.affiliation: School of Science, Jiangnan University, Wuxi 214122, China.
authors.forename: Ping
authors.identifier: 0000-0001-5758-659X
authors.initials: P
authors.lastname: Zhu
mesh_terms: D000465:Algorithms; D000818:Animals; D002645:Chickens / Q000821:virology*; D005585:Influenza in Birds / Q000821:virology*; D009975:Orthomyxoviridae / Q000502:physiology*; D010802:Phylogeny