Prioritizing functional phosphorylation sites based on multiple feature integration
文献类型:期刊论文
作者 | Xiao, Qingyu1,2; Miao, Benpeng1,2; Bi, Jie2,3; Wang, Zhen1; Li, Yixue1,4 |
刊名 | Scientific reports
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出版日期 | 2016-04-19 |
卷号 | 6页码:9 |
ISSN号 | 2045-2322 |
DOI | 10.1038/srep24735 |
通讯作者 | Wang, zhen(zwang01@sibs.ac.cn) ; Li, yixue(yxli@sibs.ac.cn) |
英文摘要 | Protein phosphorylation is an important type of post-translational modification that is involved in a variety of biological activities. most phosphorylation events occur on serine, threonine and tyrosine residues in eukaryotes. in recent years, many phosphorylation sites have been identified as a result of advances in mass-spectrometric techniques. however, a large percentage of phosphorylation sites may be non-functional. systematically prioritizing functional sites from a large number of phosphorylation sites will be increasingly important for the study of their biological roles. this study focused on exploring the intrinsic features of functional phosphorylation sites to predict whether a phosphosite is likely to be functional. we found significant differences in the distribution of evolutionary conservation, kinase association, disorder score, and secondary structure between known functional and background phosphorylation datasets. we built four different types of classifiers based on the most representative features and found that their performances were similar. we also prioritized 213,837 human phosphorylation sites from a variety of phosphorylation databases, which will be helpful for subsequent functional studies. all predicted results are available for query and download on our website (predict functional phosphosites, pfp, http://pfp.biosino.org/). |
WOS关键词 | INCORPORATING EVOLUTIONARY INFORMATION ; INTRINSICALLY UNSTRUCTURED PROTEINS ; MASS-SPECTROMETRY ; POSTTRANSLATIONAL MODIFICATIONS ; SIGNALING NETWORKS ; PREDICTION ; DISORDER ; CONSERVATION ; GENERATION ; DYNAMICS |
WOS研究方向 | Science & Technology - Other Topics |
WOS类目 | Multidisciplinary Sciences |
语种 | 英语 |
WOS记录号 | WOS:000381312700001 |
出版者 | NATURE PUBLISHING GROUP |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374505 |
专题 | 中国科学院大学 |
通讯作者 | Wang, Zhen; Li, Yixue |
作者单位 | 1.Chinese Acad Sci, Shanghai Inst Biol Sci, CAS MPG Partner Inst Computat Biol, Key Lab Computat Biol, Shanghai, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Biochem & Cell Biol, Key Lab Syst Biol, Shanghai, Peoples R China 4.Shanghai Ind Technol Inst, Shanghai Ctr Bioinformat Technol, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Xiao, Qingyu,Miao, Benpeng,Bi, Jie,et al. Prioritizing functional phosphorylation sites based on multiple feature integration[J]. Scientific reports,2016,6:9. |
APA | Xiao, Qingyu,Miao, Benpeng,Bi, Jie,Wang, Zhen,&Li, Yixue.(2016).Prioritizing functional phosphorylation sites based on multiple feature integration.Scientific reports,6,9. |
MLA | Xiao, Qingyu,et al."Prioritizing functional phosphorylation sites based on multiple feature integration".Scientific reports 6(2016):9. |
入库方式: iSwitch采集
来源:中国科学院大学
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