结核分枝杆菌__(期刊论文)

结核分枝杆菌(H37Rv)分泌性蛋白的生物信息学预测方法

http://www.100md.com 《第四军医大学学报》 2006年第1期

结核分枝杆菌,,结核分枝杆菌；分泌蛋白；信号肽；生物信息学,0引言,1预测方法,2结果,3讨论,【参考文献】

     Bioinformatics prediction strategy for Mycobacterium tuberculosis (H37Rv) secreted proteins

    WANG Liang，HU JianPing

    1School of Life Science and Technology,Xian Jiaotong University, Xian 710049, China, 2Shaanxi Institute for Geology and Mineral, Xian 710054, China

    【Abstract】 AIM: To establish a prediction strategy for Mycobacterium tuberculosis (H37Rv) secreted proteins to pave the way for further research. METHODS: The whole protome of H37Rv 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 H37Rv. CONCLUSION: Bioinformatics approaches can be used as an assistant tool in secreted protein research.

    【Keywords】 Mycobacterium tuberculosis；secreted protein；signal peptide；bioinformatics

    【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 ......

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