A CTD-Pfizer collaboration: manual curation of 88 000 scientific articles text mined for drug-disease and drug-phenotype interactions
Open Access
- 1 January 2013
- journal article
- research article
- Published by Oxford University Press (OUP) in Database: The Journal of Biological Databases and Curation
- Vol. 2013, bat080
- https://doi.org/10.1093/database/bat080
Abstract
Improving the prediction of chemical toxicity is a goal common to both environmental health research and pharmaceutical drug development. To improve safety detection assays, it is critical to have a reference set of molecules with well-defined toxicity annotations for training and validation purposes. Here, we describe a collaboration between safety researchers at Pfizer and the research team at the Comparative Toxicogenomics Database (CTD) to text mine and manually review a collection of 88 629 articles relating over 1 200 pharmaceutical drugs to their potential involvement in cardiovascular, neurological, renal and hepatic toxicity. In 1 year, CTD biocurators curated 2 54 173 toxicogenomic interactions (1 52 173 chemical–disease, 58 572 chemical–gene, 5 345 gene–disease and 38 083 phenotype interactions). All chemical–gene–disease interactions are fully integrated with public CTD, and phenotype interactions can be downloaded. We describe Pfizer’s text-mining process to collate the articles, and CTD’s curation strategy, performance metrics, enhanced data content and new module to curate phenotype information. As well, we show how data integration can connect phenotypes to diseases. This curation can be leveraged for information about toxic endpoints important to drug safety and help develop testable hypotheses for drug–disease events. The availability of these detailed, contextualized, high-quality annotations curated from seven decades’ worth of the scientific literature should help facilitate new mechanistic screening assays for pharmaceutical compound survival. This unique partnership demonstrates the importance of resource sharing and collaboration between public and private entities and underscores the complementary needs of the environmental health science and pharmaceutical communities. Database URL: http://ctdbase.org/Keywords
This publication has 32 references indexed in Scilit:
- MeSH indexing based on automatically generated summariesBMC Bioinformatics, 2013
- Text Mining Effectively Scores and Ranks the Literature for Improving Chemical-Gene-Disease Curation at the Comparative Toxicogenomics DatabasePLOS ONE, 2013
- Prediction of Polypharmacological Profiles of Drugs by the Integration of Chemical, Side Effect, and Therapeutic SpaceJournal of Chemical Information and Modeling, 2013
- Generation and application of drug indication inference models using typed network motif comparison analysisBMC Medical Informatics and Decision Making, 2013
- Data Mining of the Public Version of the FDA Adverse Event Reporting SystemInternational Journal of Medical Sciences, 2013
- MEDIC: a practical disease vocabulary used at the Comparative Toxicogenomics DatabaseDatabase: The Journal of Biological Databases and Curation, 2012
- Biocurators and Biocuration: surveying the 21st century challengesDatabase: The Journal of Biological Databases and Curation, 2012
- Targeted journal curation as a method to improve data currency at the Comparative Toxicogenomics DatabaseDatabase: The Journal of Biological Databases and Curation, 2012
- Collaborative biocuration--text-mining development task for document prioritization for curationDatabase: The Journal of Biological Databases and Curation, 2012
- The curation paradigm and application tool used for manual curation of the scientific literature at the Comparative Toxicogenomics DatabaseDatabase: The Journal of Biological Databases and Curation, 2011