Nair Rajesh, Rost Burkhard
CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, 650 West 168th Street BB217, New York, NY 10032, USA.
Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W517-21. doi: 10.1093/nar/gkh441.
LOCtarget is a web server and database that predicts and annotates sub-cellular localization for structural genomics targets; LOCnet is one of the methods used in LOCtarget that can predict sub-cellular localization for all eukaryotic and prokaryotic proteins. Targets are taken from the central registration database for structural genomics, namely, TargetDB. LOCtarget predicts localization through a combination of four different methods: known nuclear localization signals (PredictNLS), homology-based transfer of experimental annotations (LOChom), inference through automatic text analysis of SWISS-PROT keywords (LOCkey) and de novo prediction through a system of neural networks (LOCnet). Additionally, we report predictions from SignalP. The final prediction is based on the method with the highest confidence. The web server can be used to predict sub-cellular localization of proteins from their amino acid sequence. The LOCtarget database currently contains localization predictions for all eukaryotic proteins from TargetDB and is updated every week. The server is available at http://www.rostlab.org/services/LOCtarget/.
LOCtarget是一个网络服务器和数据库，用于预测和注释结构基因组学目标的亚细胞定位；LOCnet是LOCtarget中使用的方法之一，可预测所有真核和原核蛋白质的亚细胞定位。目标取自结构基因组学的中央注册数据库，即TargetDB。LOCtarget通过四种不同方法的组合来预测定位：已知的核定位信号（PredictNLS）、基于同源性的实验注释转移（LOChom）、通过对SWISS-PROT关键词进行自动文本分析的推断（LOCkey）以及通过神经网络系统进行的从头预测（LOCnet）。此外，我们还报告了SignalP的预测结果。最终预测基于置信度最高的方法。该网络服务器可用于根据蛋白质的氨基酸序列预测其亚细胞定位。LOCtarget数据库目前包含来自TargetDB的所有真核蛋白质的定位预测，并且每周更新一次。该服务器可在http://www.rostlab.org/services/LOCtarget/上获取。
