An online literature mining tool for protein phosphorylation

被引：17

作者：

Yuan, X.

Hu, Z. Z. ^{[1
]}

Wu, H. T.

Torii, M.

Narayanaswamy, M.

Ravikumar, K. E.

Vijay-Shanker, K.

Wu, C. H.

机构：

[1] Georgetown Univ, Med Ctr, Dept Biochem & Mol Cell Biol, Prot Informat Resource, Washington, DC 20007 USA

[2] Univ Delaware, Dept Comp & Informat Sci, Newark, DE 19716 USA

[3] Anna Univ, KBC Res Ctr, Madras 600025, Tamil Nadu, India

来源：

BIOINFORMATICS | 2006年 / 22卷 / 13期

关键词：

D O I：

10.1093/bioinformatics/btl159

中图分类号：

Q5 [生物化学];

学科分类号：

071010 [生物化学与分子生物学]; 081704 [应用化学];

摘要：

A web-based version of the RLIMS-P literature mining system was developed for online mining of protein phosphorylation information from MEDLINE abstracts. The online tool presents extracted phosphorylation objects (phosphorylated proteins, phosphorylation sites and protein kinases) in summary tables and full reports with evidence-tagged abstracts. The tool further allows mapping of phosphorylated proteins to protein entries in the UniProt Knowledgebase based on PubMed ID and/or protein name. The literature mining, coupled with database association, allows retrieval of rich biological information for the phosphorylated proteins and facilitates database annotation of phosphorylation features.

引用

页码：1668 / 1669

页数：2

共 10 条

[1]

Literature mining and database annotation of protein phosphorylation using a rule-based system [J].