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ToxDB: pathway-level interpretation of drug-treatment data

https://doi.org/10.1093/database/baw052
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/mnfr.200900169openalex-snapshot
The Japanese toxicogenomics project: Application of toxicogenomics
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FDA-approved drug labeling for the study of drug-induced liver injury
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Development of a large-scale chemogenomics database to improve drug candidate selection and to understand mechanisms of chemical toxicity and action
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The carcinoGENOMICS project: Critical selection of model compounds for the development of omics-based in vitro carcinogenicity screening assays
inferredcites →https://doi.org/10.1021/tx1000865openalex-snapshot
Developing Structure−Activity Relationships for the Prediction of Hepatotoxicity
inferredcites →https://doi.org/10.1038/nmeth.2651openalex-snapshot
Network-based stratification of tumor mutations
inferredcites →https://doi.org/10.1093/bioinformatics/btu827openalex-snapshot
diXa: a data infrastructure for chemical safety assessment
inferredcites →https://doi.org/10.1093/nar/gks1055openalex-snapshot
The ConsensusPathDB interaction database: 2013 update
inferredcites →https://doi.org/10.1093/nar/gku955openalex-snapshot
Open TG-GATEs: a large-scale toxicogenomics database
inferredcites →https://doi.org/10.1093/nar/gkv1157openalex-snapshot
Ensembl 2016
inferredcites →https://doi.org/10.1093/nar/gni179openalex-snapshot
Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data
inferredcites →https://doi.org/10.1093/toxsci/kfr225openalex-snapshot
Human Embryonic Stem Cell Derived Hepatocyte-Like Cells as a Tool for In Vitro Hazard Assessment of Chemical Carcinogenicity
inferredcites →https://doi.org/10.1126/science.1132939openalex-snapshot
The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease
inferredcites →https://doi.org/10.1371/journal.pcbi.1002240openalex-snapshot
Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-1-4939-8618-7_16openalex-snapshot
Computational Network Analysis for Drug Toxicity Prediction
inferred← citeshttps://doi.org/10.1007/978-3-319-57741-8_6openalex-snapshot
Drug Dosage Balancing Using Large Scale Multi-omics Datasets
inferred← citeshttps://doi.org/10.1007/s13721-024-00480-3openalex-snapshot
Investigating key genes and biological pathways for therapeutic drug compound identification and survival analysis of chronic lymphocytic leukemia and hepatitis B associated hepatocellular carcinoma using system biology approach
inferred← citeshttps://doi.org/10.1016/b978-0-12-813724-6.00005-0openalex-snapshot
Starting points for finding toxicology resources
inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2018.12.020openalex-snapshot
Robust identification of significant interactions between toxicogenomic biomarkers and their regulatory chemical compounds using logistic moving range chart
inferred← citeshttps://doi.org/10.1016/j.comtox.2020.100147openalex-snapshot
Extrapolation of drug induced liver injury responses from cancer cell lines using machine learning approaches
inferred← citeshttps://doi.org/10.1016/j.cotox.2019.02.001openalex-snapshot
Exploiting advances in transcriptomics to improve on human-relevant toxicology
inferred← citeshttps://doi.org/10.1016/j.envint.2021.106751openalex-snapshot
A toxicogenomic data space for system-level understanding and prediction of EDC-induced toxicity
inferred← citeshttps://doi.org/10.1016/j.envpol.2025.126215openalex-snapshot
Identification of molecular signatures for azole fungicide toxicity in zebrafish embryos by integrating transcriptomics and gene network analysis
inferred← citeshttps://doi.org/10.1016/j.gene.2020.144508openalex-snapshot
Identification of common key regulators in rat hepatocyte cell lines under exposure of different pesticides
inferred← citeshttps://doi.org/10.1016/j.gene.2021.146114openalex-snapshot
Genome-wide evaluation of transcriptomic responses of human tissues to smoke: A systems biology study
inferred← citeshttps://doi.org/10.1016/j.isci.2022.103890openalex-snapshot
A network-based computational and experimental framework for repurposing compounds toward the treatment of non-alcoholic fatty liver disease
inferred← citeshttps://doi.org/10.1038/s41398-019-0555-xopenalex-snapshot
Drug repurposing for Alzheimer’s disease based on transcriptional profiling of human iPSC-derived cortical neurons
inferred← citeshttps://doi.org/10.1093/bioinformatics/bty040openalex-snapshot
TOXsIgN: a cross-species repository for toxicogenomic signatures
inferred← citeshttps://doi.org/10.1093/database/baag003openalex-snapshot
predicTox: an integrated database of clinical risk frequencies and human gene expression signatures for cardiotoxic drugs
inferred← citeshttps://doi.org/10.1093/ecco-jcc/jjab051openalex-snapshot
Results of the Seventh Scientific Workshop of ECCO: Precision Medicine in IBD—What, Why, and How
inferred← citeshttps://doi.org/10.14573/altex.1610201openalex-snapshot
In vitro to in vivo extrapolation for drug-induced liver injury using a pair ranking method
inferred← citeshttps://doi.org/10.14573/altex.1610201sopenalex-snapshot
In vitro to in vivo extrapolation for drug-induced liver injury using a pair ranking method_suppl
inferred← citeshttps://doi.org/10.2131/jts.44.721openalex-snapshot
Current status and future perspective of computational toxicology in drug safety assessment under ontological intellection
inferred← citeshttps://doi.org/10.3389/fgene.2018.00484openalex-snapshot
Network and Pathway Analysis of Toxicogenomics Data
inferred← citeshttps://doi.org/10.3389/fgene.2018.00516openalex-snapshot
Robust Co-clustering to Discover Toxicogenomic Biomarkers and Their Regulatory Doses of Chemical Compounds Using Logistic Probabilistic Hidden Variable Model
inferred← citeshttps://doi.org/10.3390/cells11091425openalex-snapshot
Rabeprazole Promotes Vascular Repair and Resolution of Sepsis-Induced Inflammatory Lung Injury through HIF-1α
inferred← citeshttps://doi.org/10.3390/medicina55080451openalex-snapshot
Assessment of Drugs Toxicity and Associated Biomarker Genes Using Hierarchical Clustering
inferred← citeshttps://doi.org/10.6026/97320630014369openalex-snapshot
Toxic Dose prediction of Chemical Compounds to Biomarkers using an ANOVA based Gene Expression Analysis
inferred← citeshttps://doi.org/10.70675/c44cbf0dz50c5z4d03zafb6z6bf8ffd5c7caopenalex-snapshot
Etude de l'impact des perturbateurs endocriniens sur le développement des gonades avec des approches de toxicogénomique et de toxicologie prédictive
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