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Comparative proteomics of the prokaryota using secretory proteins

机译:使用分泌蛋白的原核生物比较蛋白质组学

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Secretory proteins function as agents for numerous cell-cell interactions and determine the survival strategies adopted by organisms.Using the SOSUI system for membrane proteins (Hirokawa et al.,Bioinformatics,1998) and SOSUIsignal for signal peptides (Gomi et al.,CBIJ,2004),we undertook predictive analyses of secretory proteins from 248 prokaryota using all of the amino acid sequences coded by their respective genomes.The number of secretory proteins exhibited a strong positive correlation with the number of total open reading frames,with analysis of these correlations revealing that prokaryotic organisms could be placed into several groups.Symbiotic or obligate parasitic organisms in eukaryotic cells with less than 1200 open reading frames exhibited a single linear relationship between the number of secretory proteins and the total number of open reading frames.Conversely,free-living organisms with more than 2500 open reading frames could be grouped into three linear relationships.The intercept with the axis of the number of open reading frames in the linear relationships was approximately 300 genes for the survival of symbiotic or obligate parasitic organisms and approximately 700 for the free-living organisms.The factor responsible for distinguishing between the different categories of organisms appeared to be G+C content and the number of open reading frames.The roles of secretory proteins and membrane proteins were discussed on the basis of the ratios of those proteins.The list of all predicted secretory proteins for 248 prokaryota is available through the internet at the URL:http://bp.nuap.nagoya-u.ac.jp/sosui/sosuisignal/SOSUIsignalDB/.
机译:分泌蛋白起着许多细胞-细胞相互作用的作用,并决定了生物体采用的生存策略。使用膜蛋白的SOSUI系统(Hirokawa等,Bioinformatics,1998)和信号肽的SOSUIsignal(Gomi等,CBIJ, 2004),我们使用各自基因组编码的所有氨基酸序列对248个原核生物中的分泌蛋白进行了预测分析。分泌蛋白的数量与总开放阅读框的数量呈强正相关,并对这些相关性进行了分析揭示了原核生物可以分为几类。真核细胞中具有少于1200个开放阅读框的共生或专性寄生生物在分泌蛋白的数量与开放阅读框的总数之间表现出单一的线性关系。具有超过2500个开放阅读框的生物可以分为三个线性关系。在线性关系中,以开放阅读框的数量为轴进行截取,共生或专性寄生生物的存活率约为300个基因,自由生存生物的存活率约为700个基因。似乎是G + C含量和开放阅读框的数目。根据蛋白质的比例讨论了分泌蛋白和膜蛋白的作用.248个原核生物的所有预测分泌蛋白列表都可以通过互联网获得网址:http://bp.nuap.nagoya-u.ac.jp/sosui/sosuisignal/SOSUIsignalDB/。

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