Predicting subcellular localization of proteins based on their N-terminal amino acid sequence
Predicting subcellular localization of proteins based on their N-terminal amino acid sequence
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DOI：
10.1006/jmbi.2000.3903
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发表时间：
2000-07-21
影响因子：
5.6
通讯作者：
von Heijne, G
中科院分区：
文献类型：
--
作者：
Emanuelsson, O;Nielsen, H;von Heijne, G
一种基于神经网络的工具，TargetP，用于新鉴定蛋白质的大规模亚细胞定位预测。仅使用n端序列信息，它可以区分线粒体、叶绿体、分泌途径和“其他”定位的蛋白质，在冗余减少测试集上的成功率为85%（植物）或90%（非植物）。来自TargetP分析。在最近测序的拟南芥染色体2和4和Ensembl智人蛋白组中，我们估计所有植物蛋白中有10%是线粒体蛋白，14%是叶绿体蛋白，而分泌蛋白的丰度在拟南芥和智人中都在10%左右。TargetP还能准确预测切割位点的水平，范围从大约40%到50%（叶绿体和线粒体前序列）到70%以上（分泌信号肽）。TargetP作为web服务器可在http://www.cbs.dtu.dk/services/TargetP/上获得。(C) 2000年学术出版社。
A neural network-based tool, TargetP, for large-scale subcellular location prediction of newly identified proteins has been developed. Using N-terminal sequence information only, it discriminates between proteins destined for the mitochondrion, the chloroplast, the secretory pathway, and "other" localizations with a success rate of 85 % (plant) or 90 % (non-plant) on redundancy-reduced test sets. From a TargetP analysis. of the recently sequenced Arabidopsis thaliana chromosomes 2 and 4 and the Ensembl Homo sapiens protein set, we estimate that 10 % of all plant proteins are mitochondrial and 14 % chloroplastic, and that the abundance of secretory proteins, in both Arabidopsis and Homo, is around 10 %. TargetP also predicts cleavage sites with levels of correctly predicted,sites ranging from approximately 40 % to 50 % (chloroplastic and mitochondrial presequences) to above 70 % (secretory signal peptides). TargetP is available as a web-server at http://www.cbs.dtu.dk/services/TargetP/. (C) 2000 Academic Press.