Network of co-mutations in Ebola virus genome predicts the disease lethality  

作　　者：Lizong Deng Mi Liu Sha Hua Yousong Peng Aiping Wu F Xiao-Feng Qin Genhong Cheng Taijiao Jiang 

机构地区：[1]Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005 Suzhou Institute of Systems Medicine, Suzhou, Jiangsu 215123, China [2]Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China [3]University of the Chinese Academy of Sciences, Beijing 100049, China [4]College of Information Science and Engineering, Hunan University, Changsha, Hunan 410082, China [5]Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA 90095, USA

出　　处：《Cell Research》2015年第6期753-756,共4页细胞研究（英文版）

摘　　要：Dear Editor, Zaire ebolavirus （EBOV） is one of the most lethal human viruses with observed high case fatality rate （CFR） of up to 90%. The elucidation of how the genetic changes of EBOV link to its lethality will not only help us to rapidly assess the severity of the current and future EBOV outbreaks but also facilitate a deep understanding of the virus evolution. The EBOV together with the other four strains of ebolaviruses belongs to the Filovi- ridae RNA virus family [1] and was first identified in 1976 in the Ebola river region of Zaire （now Democratic Republic of Congo） in the Central Africa [2].

关 键 词：病毒基因组 网络预测 致死率 疾病 突变 

分 类 号：S858.31[农业科学—临床兽医学] U416.1[农业科学—兽医学]