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Updated: Aug 17, 2026

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells
Published on: March 3, 2015
Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information
James W Cooper1, Aaron Kershenbaum
1Text Analytics, IBM Thomas J Watson Research Center, PO Box 704, Yorktown Heights, NY 10598, USA. jwcnmr@watson.ibm.com
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 Medline abstracts, using a combination of text analytics, statistical and graphical analysis, and a set of easily 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.
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