Evidence map›Paper›PMID 33068428›Full record

ArticleNucleic acids research2021

Comparative Toxicogenomics Database (CTD): update 2021.

Allan Peter Davis, Cynthia J Grondin, Robin J Johnson, Daniela Sciaky, Jolene Wiegers, Thomas C Wiegers, Carolyn J Mattingly

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 561 papers.

0numbers the graph read from it
0cells of the map it votes in
561citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

561 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. A microbiota-substrate-metabolite-target network suggests AKT1-associated links between gut microbiota-derived metabolites and osteoporosis.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  5. Review
  6. Subgraph Neural Networks Enhanced by Global Similarity for Drug Repositioning.Interdisciplinary sciences, computational life sciences · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

501 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Allan Peter DavisDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Cynthia J GrondinDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Robin J JohnsonDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Daniela SciakyDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Jolene WiegersDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Thomas C WiegersDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Carolyn J MattinglyDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.

Funding

Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Sue Fenton · 2015 to 2026
$18.3M
The Comparative Toxicogenomics Database (CTD)R01ES014065 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI DAVIS, ALLAN PETER, MATTINGLY, CAROLYN J. · 2006 to 2021
$10.5M
Comparative Toxicogenomics Database (CTD)U24ES033155 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Allan Peter Davis, Carolyn J. Mattingly · 2021 to 2026
$9.3M
Advancing mechanism-based studies with cross-species chemical-phenotype dataR01ES023788 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MATTINGLY, CAROLYN J. · 2015 to 2019
$1.6M
NIEHS NIH HHS P30 ES025128NIEHS NIH HHS R01 ES014065NIEHS NIH HHS R01 ES023788NIEHS NIH HHS U24 ES033155
6 · The paper itself

Abstract

The public Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) is an innovative digital ecosystem that relates toxicological information for chemicals, genes, phenotypes, diseases, and exposures to advance understanding about human health. Literature-based, manually curated interactions are integrated to create a knowledgebase that harmonizes cross-species heterogeneous data for chemical exposures and their biological repercussions. In this biennial update, we report a 20% increase in CTD curated content and now provide 45 million toxicogenomic relationships for over 16 300 chemicals, 51 300 genes, 5500 phenotypes, 7200 diseases and 163 000 exposure events, from 600 comparative species. Furthermore, we increase the functionality of chemical-phenotype content with new data-tabs on CTD Disease pages (to help fill in knowledge gaps for environmental health) and new phenotype search parameters (for Batch Query and Venn analysis tools). As well, we introduce new CTD Anatomy pages that allow users to uniquely explore and analyze chemical-phenotype interactions from an anatomical perspective. Finally, we have enhanced CTD Chemical pages with new literature-based chemical synonyms (to improve querying) and added 1600 amino acid-based compounds (to increase chemical landscape). Together, these updates continue to augment CTD as a powerful resource for generating testable hypotheses about the etiologies and molecular mechanisms underlying environmentally influenced diseases.

Indexed as

Databases, FactualGene-Environment InteractionDatabases, ChemicalDatabases, GeneticGenome, HumanGenomicsGenotypeHumansInternetKnowledge BasesOrgan SpecificityPhenotypePrescription DrugsSoftwareToxicogeneticsXenobioticsPrescription DrugsXenobiotics

Identifiers

PMID33068428
PMCPMC7779006

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.