| Literature DB >> 23798227 |
Rajesh Chowdhary1, Jinfeng Zhang, Sin Lam Tan, Daniel E Osborne, Vladimir B Bajic, Jun S Liu.
Abstract
Information on Protein Interactions (Pls) is valuable for biomedical research, but often lies buried in the scientific literature and cannot be readily retrieved. While much progress has been made over the years in extracting Pls from the literature using computational methods, there is a lack of free, public, user-friendly tools for the discovery of Pls. We developed an online tool for the extraction of PI relationships from PubMed-abstracts, which we name PIMiner. Protein pairs and the words that describe their interactions are reported by PIMiner so that new interactions can be easily detected within text. The interaction likelihood levels are reported too. The option to extract only specific types of interactions is also provided. The PIMiner server can be accessed through a web browser or remotely through a client's command line. PIMiner can process 50,000 PubMed abstracts in approximately 7 min and thus appears suitable for large-scale processing of biological/biomedical literature.Entities:
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Year: 2013 PMID: 23798227 PMCID: PMC4303605 DOI: 10.1504/ijdmb.2013.054232
Source DB: PubMed Journal: Int J Data Min Bioinform ISSN: 1748-5673 Impact factor: 0.667