Automatic extraction of biomolecular interactions: an empirical approach.

ABSTRACT:

Background

We describe a method for extracting data about how biomolecule pairs interact from texts. This method relies on empirically determined characteristics of sentences. The characteristics are efficient to compute, making this approach to extraction of biomolecular interactions scalable. The results of such interaction mining can support interaction network annotation, question answering, database construction, and other applications.

Results

We constructed a software system to search MEDLINE for sentences likely to describe interactions between given biomolecules. The system extracts a list of the interaction-indicating terms appearing in those sentences, then ranks those terms based on their likelihood of correctly characterizing how the biomolecules interact. The r

SUBMITTER: Zhang L 

PROVIDER: S-EPMC3729816 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature