GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome
文献类型：期刊论文
| 作者 | Li, Fuyi1; Li, Chen2; Wang, Mingjun3,4; Webb, Geoffrey I.5; Zhang, Yang1; Whisstock, James C.2,6; Song, Jiangning2,3,4,5 |
| 刊名 | BIOINFORMATICS
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：天津工业生物技术研究所
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