SherLoc2: A High-Accuracy Hybrid Method for Predicting Subcellular Localization of Proteins
SherLoc2: A High-Accuracy Hybrid Method for Predicting Subcellular Localization of Proteins
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DOI：
10.1021/pr900665y
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发表时间：
2009-11-01
影响因子：
4.4
通讯作者：
Shatkay, Hagit
中科院分区：
文献类型：
--
作者：
Briesemeister, Sebastian;Blum, Torsten;Shatkay, Hagit
SherLoc2是一个全面的高精度亚细胞定位预测系统，适用于动物，真菌和植物蛋白，涵盖了所有主要的真核细胞亚细胞位置。SherLoc2集成了几个基于序列的功能以及基于文本的功能。此外，我们将系统发育概况和基因本体论（GO）的条款来自蛋白质序列，大大提高了预测性能。SherLoc2在5倍交叉验证中实现了高达93%的整体分类准确率。DiaLoc是一个新功能，允许用户通过在简短的摘要中描述蛋白质来手动提供他们当前的背景知识，然后用于改进预测。SherLoc2既可以作为免费的Web服务，也可以作为独立版本在http://www-bsinformatik.uni-tuebingen.de/Services/SherLoc2上提供。
SherLoc2 is a comprehensive high-accuracy subcellular localization prediction system It is applicable to animal, fungal, and plant proteins and covers all main eukaryotic subcellular locations. SherLoc2 integrates several sequence-based features as well as text-based features. In addition, we incorporate phylogenetic profiles and Gene Ontology (GO) terms derived from the protein sequence to considerably improve the prediction performance. SherLoc2 achieves an overall classification accuracy of up to 93% in 5-fold cross-validation. A novel feature, DiaLoc, allows users to manually provide their current background knowledge by describing a protein in a short abstract which is then used to improve the prediction. SherLoc2 is available both as a free Web service and as a stand-alone version at http://www-bsinformatik.uni-tuebingen.de/Services/SherLoc2.