GlycoMine(struct): a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features

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(struct): a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features
	Li, Fuyi 1,2,3; Li, Chen 2,3; Revote, Jerico 4; Zhang, Yang 1; Webb, Geoffrey I.5; Li, Jian 2,6; Song, Jiangning 2,3,5,7,8; Lithgow, Trevor 2,6
刊名	SCIENTIFIC REPORTS
	2016-10-06
卷号	6 期号:34595
英文摘要	Glycosylation plays an important role in cell-cell adhesion, ligand-binding and subcellular recognition. Current approaches for predicting protein glycosylation are primarily based on sequence-derived features, while little work has been done to systematically assess the importance of structural features to glycosylation prediction. Here, we propose a novel bioinformatics method called GlycoMine(struct) (http://glycomine.erc.monash.edu/Lab/GlycoMine_Struct/) for improved prediction of human N- and O-linked glycosylation sites by combining sequence and structural features in an integrated computational framework with a two-step feature-selection strategy. Experiments indicated that GlycoMine(struct) outperformed NGlycPred, the only predictor that incorporated both sequence and structure features, achieving AUC values of 0.941 and 0.922 for N- and O-linked glycosylation, respectively, on an independent test dataset. We applied GlycoMine(struct) to screen the human structural proteome and obtained high-confidence predictions for N- and O-linked glycosylation sites. GlycoMine(struct) can be used as a powerful tool to expedite the discovery of glycosylation events and substrates to facilitate hypothesis-driven experimental studies.
WOS标题词	Science & Technology
类目[WOS]	Multidisciplinary Sciences
研究领域[WOS]	Science & Technology - Other Topics
关键词[WOS]	ALPHA-L-IDURONIDASE ; LARGE GENE LISTS ; B-CELL EPITOPES ; PROTEIN GLYCOSYLATION ; POSTTRANSLATIONAL MODIFICATIONS ; PHOSPHORYLATION SITES ; BIOLOGICAL SEQUENCES ; MASS-SPECTROMETRY ; RANDOM FORESTS ; PREDICTION
收录类别	SCI
语种	英语
WOS记录号	WOS:000384765000001
内容类型	期刊论文
源URL	[http://124.16.173.210/handle/834782/2938]
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, Biomed Discovery Inst, Infect & Immun Program, Melbourne, Vic 3800, Australia 3.Monash Univ, Dept Biochem & Mol Biol, Melbourne, Vic 3800, Australia 4.Monash Univ, Monash Bioinformat Platform, Melbourne, Vic 3800, Australia 5.Monash Univ, Fac Informat Technol, Monash Ctr Data Sci, Melbourne, Vic 3800, Australia 6.Monash Univ, Dept Microbiol, Melbourne, Vic 3800, Australia 7.Chinese Acad Sci, Tianjin Inst Ind Biotechnol, Natl Engn Lab Ind Enzymes, Tianjin 300308, Peoples R China 8.Chinese Acad Sci, Tianjin Inst Ind Biotechnol, Key Lab Syst Microbial Biotechnol, Tianjin 300308, Peoples R China
推荐引用方式 GB/T 7714	Li, Fuyi,Li, Chen,Revote, Jerico,et al. GlycoMine(struct): a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features[J]. SCIENTIFIC REPORTS,2016,6(34595).
APA	Li, Fuyi.,Li, Chen.,Revote, Jerico.,Zhang, Yang.,Webb, Geoffrey I..,...&Lithgow, Trevor.(2016).GlycoMine(struct): a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features.SCIENTIFIC REPORTS,6(34595).
MLA	Li, Fuyi,et al."GlycoMine(struct): a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features".SCIENTIFIC REPORTS 6.34595(2016).