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Mining molecular binding terminology from biomedical text.

Authors: Thomas C. Rindflesch; Lawrence Hunter; Alan R. Aronson;

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.

Keywords

MEDLINE, Information Storage and Retrieval, Pilot Projects, Unified Medical Language System, DNA-Binding Proteins, Terminology as Topic, Molecular Biology, Algorithms, Gene Library, Natural Language Processing, Protein Binding

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 1%
Top 10%
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