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Peer-reviewedCC BY-NC 4.0Nucleic Acids Research

Comparative Toxicogenomics Database: update 2027

  • Allan Peter Davis1
  • Thomas C Wiegers1
  • Daniela Sciaky1
  • Fern Barkalow1
  • Brent Wyatt1
  • Jolene Wiegers1
  • Roy McMorran1
  • Sakib Abrar1
  • Carolyn J Mattingly1,2
  1. 1Department of Biological Sciences, North Carolina State University , Raleigh, NC 27695 ,
  2. 2Center for Human Health and the Environment, North Carolina State University , Raleigh, NC 27695 ,
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Abstract

The Comparative Toxicogenomics Database (CTD; https://ctdbase.org) is a well-established public resource that aims to advance understanding about how environmental chemical exposures affect human health. By integrating expertly curated content from the scientific literature with functional and pathway associations, CTD empowers researchers to develop testable hypotheses about mechanisms underlying environmentally influenced diseases. Today, CTD includes over 110 million integrated toxicogenomic connections linking harmonized chemicals, genes/proteins, phenotypes, anatomical terms, diseases, comparative species, pathways, and human exposures. In this biennial update, we introduce several new enhancements, including a streamlined modern web interface; a new curation module that captures experimental chemical concentrations reported in toxicogenomic studies; an enhanced “CTD Tetramers” tool that ranks results using weighted evidence scores, transforms tetramers into illuminated chord diagrams, and provides filters to discriminate mechanistic from therapeutic datasets; an expanded “Batch Query” tool that now retrieves detailed human exposure data; and enhanced chemical querying and interoperability via the inclusion of external chemical identifiers. Together, these advances further strengthen CTD as a comprehensive resource for exploring molecular mechanisms linking environmental exposures and human disease and for generating testable hypotheses about chemical–disease–exposure relationships.

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Cite

BibTeXRIS
BibTeX
@article{davis2026comparative,
  title = {{Comparative Toxicogenomics Database: update 2027}},
  author = {Allan Peter Davis and Thomas C Wiegers and Daniela Sciaky and Fern Barkalow and Brent Wyatt and Jolene Wiegers and Roy McMorran and Sakib Abrar and Carolyn J Mattingly},
  journal = {Nucleic Acids Research},
  year = {2026},
  month = oct,
  doi = {10.1093/nar/gkag1041},
  url = {https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1041/8986553},
  note = {CC BY-NC 4.0},
}
RIS
TY  - JOUR
TI  - Comparative Toxicogenomics Database: update 2027
AU  - Allan Peter Davis
AU  - Thomas C Wiegers
AU  - Daniela Sciaky
AU  - Fern Barkalow
AU  - Brent Wyatt
AU  - Jolene Wiegers
AU  - Roy McMorran
AU  - Sakib Abrar
AU  - Carolyn J Mattingly
PY  - 2026
DA  - 2026/10/23
JO  - Nucleic Acids Research
DO  - 10.1093/nar/gkag1041
UR  - https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1041/8986553
AB  - The Comparative Toxicogenomics Database (CTD; https://ctdbase.org) is a well-established public resource that aims to advance understanding about how environmental chemical exposures affect human health. By integrating expertly curated content from the scientific literature with functional and pathway associations, CTD empowers researchers to develop testable hypotheses about mechanisms underlying environmentally influenced diseases. Today, CTD includes over 110 million integrated toxicogenomic connections linking harmonized chemicals, genes/proteins, phenotypes, anatomical terms, diseases, comparative species, pathways, and human exposures. In this biennial update, we introduce several new enhancements, including a streamlined modern web interface; a new curation module that captures experimental chemical concentrations reported in toxicogenomic studies; an enhanced “CTD Tetramers” tool that ranks results using weighted evidence scores, transforms tetramers into illuminated chord diagrams, and provides filters to discriminate mechanistic from therapeutic datasets; an expanded “Batch Query” tool that now retrieves detailed human exposure data; and enhanced chemical querying and interoperability via the inclusion of external chemical identifiers. Together, these advances further strengthen CTD as a comprehensive resource for exploring molecular mechanisms linking environmental exposures and human disease and for generating testable hypotheses about chemical–disease–exposure relationships.
SN  - 0305-1048
SN  - 1362-4962
ER  -