Furnishes a dataset of sentences relevant to study how biomolecular interactions are described. ISDB provides sentences containing at least two biomolecule names and one of about 440 interaction-indicating terms. Its architecture can serve as a model for building a system that dynamically updates as new papers are published. This tool provides a support for investigation on text mining of interactions.
Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR, USA; University of Arkansas for Medical Sciences, Little Rock, AR, USA; Department of Chemistry, University of Arkansas at Little Rock, Little Rock, AR, USA; Ohio State University Medical Center, Columbus, OH, USA