title: Mining molecular binding terminology from biomedical text.
abstract: Automatic access to information regarding macromolecular binding relationships would provide a valuable resource to the biomedical community. We report on a pilot project to mine such information from the molecular biology literature. The program being developed takes advantage of natural language processing techniques and is supported by two repositories of biomolecular knowledge. A formative evaluation has been conducted on a subset of MEDLINE abstracts.
authors.affiliation: National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.
authors.forename: T C
authors.initials: TC
authors.lastname: Rindflesch
authors.forename: L
authors.initials: L
authors.lastname: Hunter
authors.forename: A R
authors.initials: AR
authors.lastname: Aronson
mesh_terms: D000465:Algorithms; D004268:DNA-Binding Proteins / Q000378:metabolism; D015723:Gene Library; D016247:Information Storage and Retrieval / Q000379:methods*; D016239:MEDLINE; D008967:Molecular Biology; D009323:Natural Language Processing; D010865:Pilot Projects; D011485:Protein Binding; D009626:Terminology as Topic; D017432:Unified Medical Language System
chemical_list: D004268:DNA-Binding Proteins