ArticleNucleic acids research2017
The Comparative Toxicogenomics Database: update 2017.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 284 papers, 2 of them syntheses that pooled 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.
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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.
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Who cites it
284 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Formaldehyde and Brain Disorders: A Meta-Analysis and Bioinformatics Approach.Neurotoxicity research · 2021Pooled it
- Computational resources associating diseases with genotypes, phenotypes and exposures.Briefings in bioinformatics · 2019Pooled it
- Integrative Systems Pharmacology and Zebrafish Toxicity Profiling Reveal Piperine as a Multi-Target Modulator in DSS-Induced Intestinal Inflammation.Applied biochemistry and biotechnology · 2026Article
- VITAGRAPH: building a knowledge graph for biologically relevant learning tasks.Scientific data · 2026Article
- MPMB-DR: Meta-path Integration of Multi-source Biological Information for Drug Repositioning.Interdisciplinary sciences, computational life sciences · 2026Article
- FKSUDDAPre: A drug-disease association prediction framework based on F-TEST feature selection and AMDKSU resampling with interpretability analysis.PLoS computational biology · 2026Article
- Comparative Genomic Hybridization (CGH) in Genotoxicology: From the Basics to Modern Approaches.Methods in molecular biology (Clifton, N.J.) · 2026Review
- Repositioning Drugs: A Computational Approach.Current drug research reviews · 2026Review
- Integrating Single-Cell and Spatial Transcriptomics Reveals NK Cell Subpopulations Associated With Immunotherapy for Melanoma.Smart medicine · 2025Article
- Bioinformatics and Omics-based Perspectives on Breast Cancer: Advancing Target Gene Identification for the Development of Anticancer Agents.Asian Pacific journal of cancer prevention : APJCP · 2025Review
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- KGRDR: a deep learning model based on knowledge graph and graph regularized integration for drug repositioning.Frontiers in pharmacology · 2025Article
- Exploring the Anti-Inflammatory and Anti-NET Properties of Zidian Zhenxiao Granule in IgA Vasculitis: A Network Pharmacology and Proteomic Study.Journal of inflammation research · 2025Article
- Identification and validation of biomarkers in gastric cancer-associated membranous nephropathy: Insights from comprehensive bioinformatics analysis and machine learning.Frontiers in immunology · 2025Article
- A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions.Computational and structural biotechnology journal · 2024Article
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- Identification of ENTPD1 as a novel biomarker linking allergic rhinitis and systemic lupus erythematosus.Scientific reports · 2024Article
- AI-driven Discovery of Morphomolecular Signatures in Toxicology.bioRxiv : the preprint server for biology · 2024Article
- Identification of Genes Crucial for Biological Processes in Breast Cancer Liver Metastasis Relapse.International journal of molecular sciences · 2024Article
224 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) provides information about interactions between chemicals and gene products, and their relationships to diseases. Core CTD content (chemical-gene, chemical-disease and gene-disease interactions manually curated from the literature) are integrated with each other as well as with select external datasets to generate expanded networks and predict novel associations. Today, core CTD includes more than 30.5 million toxicogenomic connections relating chemicals/drugs, genes/proteins, diseases, taxa, Gene Ontology (GO) annotations, pathways, and gene interaction modules. In this update, we report a 33% increase in our core data content since 2015, describe our new exposure module (that harmonizes exposure science information with core toxicogenomic data) and introduce a novel dataset of GO-disease inferences (that identify common molecular underpinnings for seemingly unrelated pathologies). These advancements centralize and contextualize real-world chemical exposures with molecular pathways to help scientists generate testable hypotheses in an effort to understand the etiology and mechanisms underlying environmentally influenced diseases.
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Registered trials
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.