지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
초록· 키워드
오류제보하기
Influenza virus is one of the major pathogenic viruses for the respiratory diseases and many pandemic outbreaks have occurred. Influenza virus is a single-stranded RNA virus and its subtype is determined by its HA (hemagglutinin) and NA (neuraminidase) proteins. Antigenic shifts from the combination of HA and NA is one of the reasons for the pandemic outbreaks. Influenza virus, which brought Spanish flu, Asian flu, Hong Kong flu, and 2009 novel flu pandemic outbreak, has received strong concerns from diverse fields. Prediction of outbreaks and establishing treatment methods based on the simulation studies is of concern considering the of outbreaks and establishing treatment methods based on the simulation studies is of concern considering the damages of flu pandemics. Studies of infection mechanisms and immunity through molecular dynamics, antigenic shift predictions based on sequence information, public health related anticipations from epidemiological studies were previously performed. In this review, we summarized diverse prediction studies for influenza virus based on simulation methods.
목차
Abstract
Introduction
Main Subject
Discussion
References
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
이 논문과 함께 이용한 논문
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2016-517-000927721