| A Coordination Model of Gene Sequences for SARS-CoV and its Receptor |
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| 作者姓名： | 邵世煌 戴花 皋磊 黄颍嵩 黄振德 丁永生 |
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| 作者单位： | Bio-Informatics Research Center College of Information Sciences & Technology，Donghua University，Shanghai 200051，Bio-Informatics Research Center College of Information Sciences & Technology，Donghua University，Shanghai 200051，Bio-Informatics Research Center College of Information Sciences & Technology，Donghua University，Shanghai 200051，Bio-Informatics Research Center College of Information Sciences & Technology，Donghua University，Shanghai 200051，Bio-Informatics Research Center College of Information Sciences & Technology，Donghua University，Shanghai 200051，Bio-Informatics Research Center College of Information Sciences & Technology，Donghua University，Shanghai 200051 |
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| 摘 要： | IntroductionFrom the emergence of SARS CoV, manystudies havebeen done on its biological medicine aspects, such aspathogeny characteristics, mechanisms of causing disease,clinic diagnosis and treatment, bacterin development andthe spreading rules. At the level of molecule biology,studies have been done on its genome sequences characteristics, structures and functions of the translatedproteins, and the evolution relationships in sequences1 5].The caus…
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A Coordination Model of Gene Sequences for SARS-CoV and its Receptor |
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| SHAO Shi-huang,DAI Hua,GAO Lei,HUANG Ying-Song,HUANG Zhen-de,DING Yong-sheng.A Coordination Model of Gene Sequences for SARS-CoV and its Receptor[J].Journal of Donghua University,2004,21(6). |
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| Authors: | SHAO Shi-huang DAI Hua GAO Lei HUANG Ying-Song HUANG Zhen-de DING Yong-sheng |
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| Abstract: | A Z curve-based coordination model of genome sequences for the interaction of the SARS coronavirus (SARS-CoV) with its receptor, angiotensin-converting enzyme 2 (ACE2) is proposed. The model provides a novel, intuitive tool for visualizing and analyzing DNA sequences of SARS. It will be useful to the analysis of SARS-CoV in lab detection. Also, it can be used as a solution to other studies in bioinformatics field. |
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| Keywords: | SARS coronavirus spike protein ACE2 Z curve coordination model |
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