GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome

CORC > 天津工业生物技术研究所 > 结构生物信息学和整合系统生物学实验室宋江宁 > 期刊论文

	GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome
	Li, Fuyi 1; Li, Chen 2; Wang, Mingjun 3,4; Webb, Geoffrey I.5; Zhang, Yang 1; Whisstock, James C.2,6; Song, Jiangning 2,3,4,5
刊名	BIOINFORMATICS
	2015-05-01
卷号	31 期号:9 页码:1411-1419
英文摘要	Motivation: Glycosylation is a ubiquitous type of protein post-translational modification (PTM) in eukaryotic cells, which plays vital roles in various biological processes (BPs) such as cellular communication, ligand recognition and subcellular recognition. It is estimated that >50% of the entire human proteome is glycosylated. However, it is still a significant challenge to identify glycosylation sites, which requires expensive/laborious experimental research. Thus, bioinformatics approaches that can predict the glycan occupancy at specific sequons in protein sequences would be useful for understanding and utilizing this important PTM.
WOS标题词	Science & Technology ; Life Sciences & Biomedicine ; Technology ; Physical Sciences
类目[WOS]	Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability
研究领域[WOS]	Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Computer Science ; Mathematical & Computational Biology ; Mathematics
关键词[WOS]	COMPUTATIONAL PREDICTION ; SOLVENT ACCESSIBILITY ; SITES ; PROTEINS ; DATABASE ; BIOINFORMATICS ; INFORMATION ; MANNOSYLATION ; INTEGRATION ; GLYCOPHORIN
收录类别	SCI
语种	英语
WOS记录号	WOS:000355665800010
内容类型	期刊论文
源URL	[http://124.16.173.210/handle/834782/1489]
专题	天津工业生物技术研究所_结构生物信息学和整合系统生物学实验室宋江宁_期刊论文
作者单位	1.Northwest A&F Univ, Coll Informat Engn, Yangling 712100, Peoples R China 2.Monash Univ, Dept Biochem & Mol Biol, Melbourne, Vic 3800, Australia 3.Chinese Acad Sci, Tianjin Inst Ind Biotechnol, Natl Engn Lab Ind Enzymes, Tianjin, Peoples R China 4.Chinese Acad Sci, Tianjin Inst Ind Biotechnol, Key Lab Syst Microbial Biotechnol, Tianjin, Peoples R China 5.Monash Univ, Fac Informat Technol, Ctr Res Intelligent Syst, Melbourne, Vic 3800, Australia 6.Monash Univ, ARC Ctr Excellence Adv Mol Imaging, Melbourne, Vic 3800, Australia
推荐引用方式 GB/T 7714	Li, Fuyi,Li, Chen,Wang, Mingjun,et al. GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome[J]. BIOINFORMATICS,2015,31(9):1411-1419.
APA	Li, Fuyi.,Li, Chen.,Wang, Mingjun.,Webb, Geoffrey I..,Zhang, Yang.,...&Song, Jiangning.(2015).GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome.BIOINFORMATICS,31(9),1411-1419.
MLA	Li, Fuyi,et al."GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome".BIOINFORMATICS 31.9(2015):1411-1419.