Prediction of Cell Specific O-GalNAc Glycosylation in Human  

作　　者：Yuanqiang Zou Kenli Li Taijiao Jiang Yousong Peng 

机构地区：[1]College of Computer Science and Electronic Engineering, Hunan University,Changsha 410082, China [2]Center of System Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100005, China [3]Suzhou Institute of Systems Medicine, Suzhou 215123, Jiangsu, China [4]College of Biology, Hunan University, Changsha 410082, China

出　　处：《国际计算机前沿大会会议论文集》2017年第2期65-67,共3页International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）

摘　　要：Glycosylation is one of the most extensive post-translation modifications of proteins. Although lots of computational models have been developed to predict the glycosylation sites, none of them considered the tissue and cell specificity of glycosylation. Here, we built a two-step computational method GlycoCell to predict the cell-specific O-GalNAc glycosylation, the most complex type of O-glycosylation reported so far, in 12 human cell types. The first step predicted whether a site had the potential to be O-glycosylated. The model achieved an accuracy of 0.83. The second step predicted whether a potential glycosite would be O-glycosylated in the given cell type. For 12 cell types, a model was built for each cell type. The accuracies for these models ranged from 0.78 to 0.87. To facilitate the usage of GlycoCell for the public, a web server was built which is available at http://www.biomedcloud.com.cn/GlyoCell/main.htm. It could be useful for investigating the cell-specific O-glycosylation in human.

关 键 词：O-GLYCOSYLATION Cell-specific SVM Computational PREDICTION Word vector 

分 类 号：C5[社会学]