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Bioinformatics. 2001 Feb;17(2):155-61.

Automated extraction of information on protein-protein interactions from the biological literature.

Author information

  • 1Otsuka GEN Research Institute, Otsuka Pharmaceutical Co. Ltd, 463-10 Kagasuno, Kawauchi-cho, Tokushima, 771-0192, Japan. ono@otsuka.gr.jp

Abstract

MOTIVATION:

To understand biological process, we must clarify how proteins interact with each other. However, since information about protein-protein interactions still exists primarily in the scientific literature, it is not accessible in a computer-readable format. Efficient processing of large amounts of interactions therefore needs an intelligent information extraction method. Our aim is to develop an efficient method for extracting information on protein-protein interaction from scientific literature.

RESULTS:

We present a method for extracting information on protein-protein interactions from the scientific literature. This method, which employs only a protein name dictionary, surface clues on word patterns and simple part-of-speech rules, achieved high recall and precision rates for yeast (recall = 86.8% and precision = 94.3%) and Escherichia coli (recall = 82.5% and precision = 93.5%). The result of extraction suggests that our method should be applicable to any species for which a protein name dictionary is constructed.

AVAILABILITY:

The program is available on request from the authors.

PMID:
11238071
[PubMed - indexed for MEDLINE]
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