A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf
.
Literature mining and database annotation of protein phosphorylation using a rule-based system
2005
Bioinformatics
Motivation: A large volume of experimental data on protein phosphorylation is buried in the fast-growing PubMed literature. While of great value, such information is limited in databases owing to the laborious process of literature-based curation. Computational literature mining holds promise to facilitate database curation. Results: A rule-based system, RLIMS-P (Rule-based LIterature Mining System for Protein Phosphorylation), was used to extract protein phosphorylation information from
doi:10.1093/bioinformatics/bti390
pmid:15814565
fatcat:jii6quw3qjhb3bgwy7sumzo5la