An online literature mining tool for protein phosphorylation | Zendy

Xiaojing Yuan | Zendy; Zhengyong Hu | Zendy; HungTsung Wu | Zendy; Manabu Torii | Zendy; Meenakshi Narayanaswamy | Zendy; K. E. Ravikumar | Zendy; K. VijayShanker | Zendy; Cathy Wu | Zendy

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An online literature mining tool for protein phosphorylation

Author(s) -

Xiaojing Yuan,

Zhengyong Hu,

HungTsung Wu,

Manabu Torii,

Meenakshi Narayanaswamy,

K. E. Ravikumar,

K. VijayShanker,

Cathy Wu

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl159

Subject(s) - uniprot , phosphorylation , annotation , information retrieval , protein phosphorylation , computer science , computational biology , world wide web , database , bioinformatics , data mining , protein kinase a , biology , biochemistry , artificial intelligence , gene

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.

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