SPOCTOPUS：信号肽和膜蛋白拓扑结构的联合预测工具
SPOCTOPUS: a combined predictor of signal peptides and membrane protein topology.
作者信息
Viklund Håkan, Bernsel Andreas, Skwark Marcin, Elofsson Arne
机构信息
Department of Biochemistry and Biophysics, Center for Biomembrane Research, Stockholm Bioinformatics Center, The Arrhenius Laboratories for Natural Sciences, Stockholm University, SE-10691 Stockholm, Sweden.
出版信息
Bioinformatics. 2008 Dec 15;24(24):2928-9. doi: 10.1093/bioinformatics/btn550. Epub 2008 Oct 22.
SUMMARY
SPOCTOPUS is a method for combined prediction of signal peptides and membrane protein topology, suitable for genome-scale studies. Its objective is to minimize false predictions of transmembrane regions as signal peptides and vice versa. We provide a description of the SPOCTOPUS algorithm together with a performance evaluation where SPOCTOPUS compares favorably with state-of-the-art methods for signal peptide and topology predictions.
AVAILABILITY
SPOCTOPUS is available as a web server and both the source code and benchmark data are available for download at http://octopus.cbr.su.se/
摘要
SPOCTOPUS是一种用于联合预测信号肽和膜蛋白拓扑结构的方法，适用于基因组规模的研究。其目标是尽量减少将跨膜区域错误预测为信号肽的情况，反之亦然。我们提供了SPOCTOPUS算法的描述以及性能评估，在信号肽和拓扑结构预测方面，SPOCTOPUS与最先进的方法相比具有优势。
可用性
SPOCTOPUS可作为网络服务器使用，其源代码和基准数据均可从http://octopus.cbr.su.se/下载。
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