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题名: Inferring the hosts of coronavirus using dual statistical models based on nucleotide composition
作者: Tang, Qin1, 2; Song, Yulong1, 2; Shi, Mijuan1; Cheng, Yingyin1; Zhang, Wanting1; Xia, Xiao-Qin1
刊名: SCIENTIFIC REPORTS
发表日期: 2015-11-26
DOI: 10.1038/srep17155
卷: 5
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Multidisciplinary Sciences
研究领域[WOS]: Science & Technology - Other Topics
英文摘要: Many coronaviruses are capable of interspecies transmission. Some of them have caused worldwide panic as emerging human pathogens in recent years, e.g., severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV). In order to assess their threat to humans, we explored to infer the potential hosts of coronaviruses using a dual-model approach based on nineteen parameters computed from spike genes of coronaviruses. Both the support vector machine (SVM) model and the Mahalanobis distance (MD) discriminant model achieved high accuracies in leave-one-out cross-validation of training data consisting of 730 representative coronaviruses (99.86% and 98.08% respectively). Predictions on 47 additional coronaviruses precisely conformed to conclusions or speculations by other researchers. Our approach is implemented as a web server that can be accessed at http://bioinfo.ihb.ac.cn/seq2hosts.
关键词[WOS]: RESPIRATORY SYNDROME CORONAVIRUS ; RECEPTOR-BINDING DOMAIN ; INFLUENZA-A VIRUSES ; CODON USAGE ; SARS CORONAVIRUS ; RNA VIRUSES ; PALM CIVET ; SEQUENCE ; GENOMES ; BETACORONAVIRUS
语种: 英语
项目资助者: Chinese Academy of Sciences
WOS记录号: WOS:000365390700001
ISSN号: 2045-2322
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ihb.ac.cn/handle/342005/27422
Appears in Collections:水生生物分子与细胞生物学研究中心_期刊论文

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作者单位: 1.Chinese Acad Sci, Inst Hydrobiol, Ctr Mol & Cellular Biol Aquat Organisms, Wuhan 430072, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
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