Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information

Background: The rapid publication of important research in the biomedical literature makes it increasingly difficult for researchers to keep current with significant work in their area of interest. Results: This paper reports a scalable method for the discovery of protein-protein interactions in abstracts, using a combination of text analytics, statistical and graphical analysis, and a set y implemented rules. Applying these techniques to 12,300 abstracts, a precision of 0.61 and a recall of 0.97 were obtained, (f = 0.74) and when allowing for two-hop and three-hop relations discovered by graphical analysis, the precision was 0.74 (f = 0.83). Conclusion: This combination of linguistic and statistical approaches appears to provide the highest precision and recall thus far reported in detecting protein-protein relations using text analytic approaches. Background Scientists in molecular biology find that a significant technique for studying protein function is through the study of protei...

• Type: Journal
• Year: 2005
• Where: BMCBI
• Authors: James W. Cooper, Aaron Kershenbaum
• Keywords: BMCBI 2005, Graphical Analysis, Protein-protein Interactions, Text Analytic