摘要
分泌蛋白对于细菌自身的生命活动以及在介导病原体与宿主之间相互作用的过程中发挥着重要的作用,深入研究分泌蛋白将有助于明确细菌的生命活动及与病原微生物互作的分子机制。利用多杀性巴氏杆菌(Pasteurella multocida)基因组学研究成果,结合信号肽分析软件SignalP v3.0、跨膜螺旋结构软件TMHMM v2.0、亚细胞器蛋白定位软件PSORTb和GPI-锚定位点软件GPI-SOM这4个软件,对多杀性巴氏杆菌2 105个编码蛋白的ORF进行预测分析,最终获得了136个分泌蛋白。对其信号肽长度、氨基酸组成、相应ORF长度进行了统计。运用Blast P对其功能进行同源性分析,发现11个蛋白为多杀性巴氏杆菌所特有,这对多杀性巴氏杆菌的临床诊断具有一定的潜在应用价值。
Many secreted proteins of bacterial played an important role in vital movement and pathogenic mechanism in the host enviroment.Pathogen was analyzed by using genomic database information and computer prediction algorithms.The signal peptides prediction algorithm SignalP v3.0,transmembrane domains prediction algorithm TMHMMv2.0,subcellular protein location prediction algorithm PSORTb and potential GPI-anchor sites prediction algorithm GPI-SOM were used to predict the potential secretory proteins. The results showed that there were 136 deduced secretory proteins in 2105 protein sequences from Pm genomic database. The length of signal peptide, the composition of amino acids and the length of ORFs were analyzed. The function of these ORFs was predicted by Blast P and 11 specific proteins were found which were used in clinic diagnosis.
出处
《湖北农业科学》
北大核心
2009年第11期2642-2645,共4页
Hubei Agricultural Sciences
基金
国家自然科学基金项目(30571380)
浙江省重大招标课题项目(021102529)
关键词
多杀性巴氏杆菌
分泌蛋白
信号肽
生物信息学
Pasteurella multocida
secreted protein
signal peptide
bioinformatics
