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Comprehensive analysis of transmembrane protein sequences in 39 microbial genomes

机译:39微生物基因组跨膜蛋白序列综合分析

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The genome-wide analysis of transmembrane (TM) proteins (the TM protein proportion in proteome, the distribution of TM topology, comprehensive functional identification of TM proteins, etc.) has been tried recently by using TM topology prediction methods. The performance of these prediction methods is, however, not so high enough, as confirmed by our re-assessment of the prediction performance by using a dataset of experimentally-characterized TM topologies (202 entries): HMMTOP 2.0 is the highestwith only 57.3 percent accuracy in predicting TM topology for prokaryotic sequences. In these analyses, the straight treatment of signal peptides (SPs) is usually avoided: e.g., the sequences with probable SP are excluded from the analysis. This preventsus from estimating accurately the TM protein proportions in proteomes. And also, soluble protein sequences with SP axe easily predicted as single-spanning TM protein. In this study, we carried out genome-wide analysis of prokaryotic TM proteins (39 genomes) by using the "consensus TM topology prediction method" (67.7 percent accuracy with TM topology prediction) and by treating the SPs properly.
机译:通过使用TM拓扑预测方法,最近尝试了跨膜(TM)蛋白(蛋白质组中的TM蛋白比例,TM拓扑中的TM颗粒状,TM蛋白的综合功能鉴定)。然而,这些预测方法的性能不够高,因为我们通过使用实验表征的TM拓扑的数据集进行预测性能(202条目)的数据集来证实:HMMTOP 2.0是最高的57.3%的准确度预测原核序列的TM拓扑。在这些分析中,通常避免了信号肽(SPS)的直接处理:例如,具有可能SP的序列被排除在分析之外。这防止了蛋白质组中精确估计TM蛋白比例。而且,具有SP轴的可溶性蛋白质序列容易预测为单遍的TM蛋白。在这项研究中,我们通过使用“共有TM拓扑预测方法”(与TM拓扑预测的精度为67.7%)和正确处理SPS来进行原核TM蛋白(39个基因组)的基因组分析。

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