van Dijk A D J, Bosch D, ter Braak C J F, van der Krol A R, van Ham R C H J
Applied Bioinformatics, PRI, Wageningen UR, Wageningen, The Netherlands.
Bioinformatics. 2008 Aug 15;24(16):1779-86. doi: 10.1093/bioinformatics/btn309. Epub 2008 Jun 18.
Recent research underlines the importance of finegrained knowledge on protein localization. In particular, subcompartmental localization in the Golgi apparatus is important, for example, for the order of reactions performed in glycosylation pathways or the sorting functions of SNAREs, but is currently poorly understood.
We assemble a dataset of type II transmembrane proteins with experimentally determined sub-Golgi localizations and use this information to develop a predictor based on the transmembrane domain of these proteins, making use of a dedicated proteinstructure based kernel in an SVM. Various applications demonstrate the power of our approach. In particular, comparison with a large set of glycan structures illustrates the applicability of our predictions on a 'glycomic' scale and demonstrates a significant correlation between sub-Golgi localization and the ordering of different steps in glycan biosynthesis.
Supplementary data are available at Bioinformatics online.
最近的研究强调了关于蛋白质定位的细粒度知识的重要性。特别是,高尔基体中的亚区室定位很重要,例如,对于糖基化途径中进行的反应顺序或SNARE蛋白的分选功能而言,但目前人们对此了解甚少。
我们组装了一个具有经实验确定的高尔基亚区室定位的II型跨膜蛋白数据集,并利用这些信息基于这些蛋白的跨膜结构域开发了一种预测器,在支持向量机中使用基于专用蛋白质结构的核。各种应用展示了我们方法的强大功能。特别是,与大量聚糖结构的比较说明了我们的预测在“糖组学”规模上的适用性,并证明了高尔基亚区室定位与聚糖生物合成中不同步骤的顺序之间存在显著相关性。
补充数据可在《生物信息学》在线获取。