Bioinformatic prediction of endolysin gene’s function in P. aeruginosa bacteriophages

孙卫忠; 胡晓梅; 饶贤才; 谭银玲; 陈志谨; 丛延广; 胡福泉

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Bioinformatic prediction of endolysin gene’s function in P. aeruginosa bacteriophages

更新时间：2026-01-09

- Bioinformatic prediction of endolysin gene’s function in P. aeruginosa bacteriophages
- Journal of Army Medical University Vol. 30, Issue 9, Pages: 787-790(2008)
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  CLC： Q75;Q939.48;R318.04
- Published：2008
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孙卫忠,胡晓梅,饶贤才,谭银玲,陈志谨,丛延广,胡福泉.通过生物信息学技术预测铜绿假单胞菌噬菌体内溶素的作用机制[J].陆军军医大学学报(原第三军医大学学报),2008,30(09):787-790.

　SUN Wei-zhong,HU Xiao-mei,RAO Xian-cai,TAN Yin-ling,CHEN Zhi-jin,CONG Yan-guang,HU Fu-quan.Bioinformatic prediction of endolysin gene’s function in P. aeruginosa bacteriophages[J].J Amry Med Univ (J Third Mil Med Univ),2008,30(09):787-790.
孙卫忠,胡晓梅,饶贤才,谭银玲,陈志谨,丛延广,胡福泉.通过生物信息学技术预测铜绿假单胞菌噬菌体内溶素的作用机制[J].陆军军医大学学报(原第三军医大学学报),2008,30(09):787-790. DOI：

　SUN Wei-zhong,HU Xiao-mei,RAO Xian-cai,TAN Yin-ling,CHEN Zhi-jin,CONG Yan-guang,HU Fu-quan.Bioinformatic prediction of endolysin gene’s function in P. aeruginosa bacteriophages[J].J Amry Med Univ (J Third Mil Med Univ),2008,30(09):787-790. DOI：

摘要

目的对20种铜绿假单胞菌噬菌体基因组中可能的内溶素基因进行生物信息学分析，探讨其可能的作用机制。方法采用开放阅读框预测、同源检索、多重序列比对、蛋白质模型自动匹配等方法预测可能的内溶素及其内溶素相关基因。结果通过铜绿假单胞菌噬菌体基因组进行分析，新发现8种内溶素基因和2种穴蛋白基因，对新发现基因的类型做了相关推定。结论利用生物信息学手段分析已知序列，可以迅速、方便、有效地确定未知基因的功能及作用方式。

Abstract

Objective To find and analyze all the endolysin genes of 20 pseudomonas aeruginosa bacteriophages. Methods Firstly

the entire open reading frame (ORF) of pseudomonas aeruginosa bacteriophages was predicted. Secondly

similarity alignments

ClustalW alignments and automated knowledge-based protein modeling were performed and analyzed. Results Eight new endolysin and two holin genes were found in our research. The gene function was analyzed subsequently. Conclusion Bioinformatic prediction is an effective method to find and analyze the newly sequenced genes. The new endolysin and holin genes we found will be helpful in further studying the related genes.

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胡福泉

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Related Institution

Class 6, Joint Program Grade 2014, Nanchang University Queen Mary School

Department of Hospital Infection Management, First Affiliated Hospital, Army Medical University (Third Military Medical University)

Department of Hospital Infection Management, Southwest Hospital, Army Medical University

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