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| RLIMS-P: Rule-based LIterature Mining System for Protein Phosphorylation Tutorial |
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The RLIMS-P is a rule-based text-mining program specifically designed to extract protein phosphorylation information on protein kinase, substrate and phosphorylation sites from the abstracts (Hu et al., 2005).
| | The program was originally developed by Narayanaswamya, Ravikumara, and Vijay-Shankerb (2005), and was tested and benchmarked by PIR using iProLINK annotated datasets (Hu et al., 2004). The RLIMS-P program is now adopted at PIR and being developed into an online text mining tool for extracting protein phosphorylation information from PubMed literature.
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The online RLIMS-P (Yuan et al., 2006)
currently provides the following functions to: 1) determine whether the MEDLINE abstract contains protein phosphorylation information and to extract protein kinase, protein substrate and phosphorylation site/residue when available; 2) tag extracted phosphorylation objects in the abstract in different colors; 3) map the protein substrate to UniProtKB protein entries based on PMID; 4) map protein names to UniProtKB protein entries based on BioThesaurus.
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| RLIMS-P Search Form |  |
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a. Anna University AU-KBC Research Centre, India.
b. University of Delaware Department of Computer and Information Science.
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Questions or comments on this page?  pirmail@georgetown.edu | iProLINK Home
Last revised 4/5/06
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