| Protein Subcellular Localization Prediction and Genomic Polymorphism Analysis of the SARS Coronavirus |
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| 作者姓名： | 季星来 柳树群 李岭 孙之荣 |
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| 作者单位： | Institute of Bioinformatics，Department of Biological Sciences and Biotechnology，Tsinghua University，Beijing 100084，China，Institute of Bioinformatics，Department of Biological Sciences and Biotechnology，Tsinghua University，Beijing 100084，China，Department of Medical Genetics，China Medical University，Shenyang 110001，China，Institute of Bioinformatics，Department of Biological Sciences and Biotechnology，Tsinghua University，Beijing 100084，China |
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| 基金项目： | the National High-Tech Research and Devel-opment (863) Program of China (No. 2002AA234041) the National Natural Science Foundation of China (No. 90303017)and the National Key Basic Research and Development (973) Program of China (No. 2003CB715903) |
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| 摘 要： | Introduction In March 2003, a novel coronavirus (CoV) was dis-covered in association with the outbreak of severe acute respiratory syndrome (SARS)1-3]. The complete genome sequence of several SARS-CoV isolates was soon determined and characterized4,5]. Comparison of variant SARS-CoV genome sequences has identified certain genetic signatures that can be used to trace sources of infection6]. Vaccines are now being devel-oped and molecular modeling has suggested that modi-fied rhinovir…
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Protein Subcellular Localization Prediction and Genomic Polymorphism Analysis of the SARS Coronavirus |
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| JI Xinglai,LIU Shuqun,LI-Ling Jesse,SUN Zhirong Institute of Bioinformatics.Protein Subcellular Localization Prediction and Genomic Polymorphism Analysis of the SARS Coronavirus[J].Tsinghua Science and Technology,2004,9(4). |
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| Authors: | JI Xinglai LIU Shuqun LI-Ling Jesse SUN Zhirong Institute of Bioinformatics |
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| Institution: | JI Xinglai,LIU Shuqun,LI-Ling Jesse,SUN Zhirong Institute of Bioinformatics,Department of Biological Sciences and Biotechnology,Tsinghua University,Beijing 100084,China,Department of Medical Genetics,China Medical University,Shenyang 110001,China |
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| Abstract: | The cause of severe acute respiratory syndrome (SARS) has been identified as a new coronavi-rus (CoV). Several sequences of the complete genome of SARS-CoV have been determined. The subcellu-lar localization (SubLocation) of annotated open-reading frames of the SARS-CoV genome was predicted using a support vector machine. Several gene products were predicted to locate in the Golgi body and cell nucleus. The SubLocation information was combined with predicted transmembrane information to develop a model of the viral life cycle. The results show that this information can be used to predict the functions of genes and even the virus pathogenesis. In addition, the entire SARS viral genome sequences currently available in GenBank were compared to identify the sequence variations among different isolates. Some variations in the Hong Kong strains may be related to the special clinical manifestations and provide clues for understanding the relationship between gene functions and evolution. These variations reflect the evolu-tion of the SARS virus in human populations and may help development of a vaccine. |
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| Keywords: | severe acute respiratory syndrome (SARS) subcellular localization viral life cycle genomic polymorphism |
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