Text mining and manual curation of chemical-gene-disease networks for the Comparative Toxicogenomics Database (CTD) |
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| Authors: | Thomas C Wiegers Allan Peter Davis K Bretonnel Cohen Lynette Hirschman Carolyn J Mattingly |
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| Affiliation: | (1) Department of Bioinformatics, The Mount Desert Island Biological Laboratory, , Salisbury Cove, ME, USA;(2) Center for Computational Pharmacology, University of Colorado School of Medicine, Aurora, CO, USA;(3) Information Technology Center, The MITRE Corporation, 202 Burlington Road, Bedford, MA, USA |
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| Abstract: | Background The Comparative Toxicogenomics Database (CTD) is a publicly available resource that promotes understanding about the etiology of environmental diseases. It provides manually curated chemical-gene/protein interactions and chemical- and gene-disease relationships from the peer-reviewed, published literature. The goals of the research reported here were to establish a baseline analysis of current CTD curation, develop a text-mining prototype from readily available open source components, and evaluate its potential value in augmenting curation efficiency and increasing data coverage. |
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