| 结核分枝杆菌(H37Rv)分泌性蛋白的生物信息学预测方法 |
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| 引用本文： | 王亮,胡建平. 结核分枝杆菌(H37Rv)分泌性蛋白的生物信息学预测方法[J]. 医学争鸣, 2006, 27(1): 86-89 |
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| 作者姓名： | 王亮 胡建平 |
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| 作者单位： | 西安交通大学生命科学与技术学院,陕西,西安,710049;陕西地矿研究院,陕西,西安,710054 |
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| 摘 要： | 目的：建立一种结核分枝杆菌（H37Rv）分泌性蛋白的预测方法，为后续研究提供参考依据．方法：以SignalP和TMHMM两个软件对结核分枝杆菌蛋白组进行扫描，基于Visual FoxPro构建“蛋白质数据分析处理系统”对扫描原始数据进行分析处理以识别分泌性蛋白，再经BLASTp完成相似性比对．结果：预测出了179种分泌性蛋白，其中12种为H37Rv所特有．结论：生物信息学方法可作为一种研究分泌性蛋白的辅助工具，用于指导实验．
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| 关 键 词： | 结核分枝杆菌 分泌蛋白 信号肽 生物信息学 |
| 文章编号： | 1000-2790(2006)01-0086-04 |
| 收稿时间： | 2005-04-04 |
| 修稿时间： | 2005-05-20 |
Bioinformatics prediction strategy for Mycobacterium tuberculosis (H37Rv) secreted proteins |
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| WANG Liang,HU Jian-Ping. Bioinformatics prediction strategy for Mycobacterium tuberculosis (H37Rv) secreted proteins[J]. Negative, 2006, 27(1): 86-89 |
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| Authors: | WANG Liang HU Jian-Ping |
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| Abstract: | AIM: To establish a prediction strategy for Mycobacterium tuberculosis (H_(37)Rv) secreted proteins to pave the way for further research. METHODS: The whole protome of H_(37)Rv was scanned by SignalP and TMHMM. The protein date analysis system based on Visual FoxPro was established to process the output of SignalP and TMHMM and identify the secreted proteins. The sequences of the secreted proteins were aligned by BLASTp. RESULTS: One hundred and seventy-nine secreted proteins were (identified), where 12 of them were found to be unique in H_(37)Rv. CONCLUSION: Bioinformatics approaches can be used as an assistant tool in secreted protein research. |
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| Keywords: | Mycobacterium tuberculosis secreted protein signal peptide bioinformatics |
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