Format

Send to

Choose Destination
See comment in PubMed Commons below
Bioinformatics. 2009 Nov 15;25(22):2983-91. doi: 10.1093/bioinformatics/btp535. Epub 2009 Sep 16.

A dictionary to identify small molecules and drugs in free text.

Author information

1
Department of Health Risk Analysis and Toxicology, Maastricht University, Maastricht, The Netherlands. k.hettne@erasmusmc.nl

Abstract

MOTIVATION:

From the scientific community, a lot of effort has been spent on the correct identification of gene and protein names in text, while less effort has been spent on the correct identification of chemical names. Dictionary-based term identification has the power to recognize the diverse representation of chemical information in the literature and map the chemicals to their database identifiers.

RESULTS:

We developed a dictionary for the identification of small molecules and drugs in text, combining information from UMLS, MeSH, ChEBI, DrugBank, KEGG, HMDB and ChemIDplus. Rule-based term filtering, manual check of highly frequent terms and disambiguation rules were applied. We tested the combined dictionary and the dictionaries derived from the individual resources on an annotated corpus, and conclude the following: (i) each of the different processing steps increase precision with a minor loss of recall; (ii) the overall performance of the combined dictionary is acceptable (precision 0.67, recall 0.40 (0.80 for trivial names); (iii) the combined dictionary performed better than the dictionary in the chemical recognizer OSCAR3; (iv) the performance of a dictionary based on ChemIDplus alone is comparable to the performance of the combined dictionary.

AVAILABILITY:

The combined dictionary is freely available as an XML file in Simple Knowledge Organization System format on the web site http://www.biosemantics.org/chemlist.

PMID:
19759196
DOI:
10.1093/bioinformatics/btp535
[Indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Silverchair Information Systems
    Loading ...
    Support Center