The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Comparative Toxicogenomics Database: update 2011
Open accessAbstract
The Comparative Toxicogenomics Database (CTD) is a public resource that promotes understanding about the interaction of environmental chemicals with gene products, and their effects on human health. Biocurators at CTD manually curate a triad of chemical-gene, chemical-disease and gene-disease relationships from the literature. These core data are then integrated to construct chemical-gene-disease networks and to predict many novel relationships using different types of associated data. Since 2009, we dramatically increased the content of CTD to 1.4 million chemical-gene-disease data points and added many features, statistical analyses and analytical tools, including GeneComps and ChemComps (to find comparable genes and chemicals that share toxicogenomic profiles), enriched Gene Ontology terms associated with chemicals, statistically ranked chemical-disease inferences, Venn diagram tools to discover overlapping and unique attributes of any set of chemicals, genes or disease, and enhanced gene pathway data content, among other features. Together, this wealth of expanded chemical-gene-disease data continues to help users generate testable hypotheses about the molecular mechanisms of environmental diseases. CTD is freely available at http://ctd.mdibl.org.
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Reactome knowledgebase of human biological pathways and processes
Matthews, L., Gopinath, G., Gillespie, M., Caudy, M., Croft, D., de Bono, B., Garapati, P., Hemish, J., Hermjakob, H., Jassal, B., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn863 · Cited by 873
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Comparative Toxicogenomics Database (CTD): update 2021
Davis, A. P., Grondin, C. J., Johnson, R. J., Sciaky, D., Wiegers, J., Wiegers, T. C., & Mattingly, C. J. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa891 · Cited by 1,107
Self-citationThe Comparative Toxicogenomics Database: update 2017
Davis, A. P., Grondin, C. J., Johnson, R. J., Sciaky, D., King, B. L., McMorran, R., Wiegers, J., Wiegers, T. C., & Mattingly, C. J. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw838 · Cited by 544
Self-citationTarget identification among known drugs by deep learning from heterogeneous networks
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Exploring Chemical Space for Drug Discovery Using the Chemical Universe Database
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Metadata
- Authors
- Davis, A. P., King, B. L., Mockus, S., Murphy, C. G., Saraceni-Richards, C., Rosenstein, M., Wiegers, T., & Mattingly, C. J.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-09-22
- Volume
- 39
- Issue
- Database
- Pages
- D1067-D1072
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2918064359
- Cited by
- 235
- References
- 1
- FWCI
- 13.00
- Type
- journal article
- Language
- en
- Open access
- gold
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- Davis, A. P., King, B. L., Mockus, S., Murphy, C. G., Saraceni-Richards, C., Rosenstein, M., Wiegers, T., & Mattingly, C. J. (2011). The Comparative Toxicogenomics Database: update 2011. Nucleic Acids Research. https://doi.org/10.1093/nar/gkq813
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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