Toxicogenomics
A section of Genes (ISSN 2073-4425).
Section Information
The section “Toxicogenomics” publishes papers of broad interest and significance addressing the molecular mechanisms of toxic responses through the integration of genomics, molecular biology, bioinformatics, and computational toxicology. The section focuses on studies employing systems-level approaches to investigate biological responses to chemical, environmental, and pharmaceutical exposures, supporting predictive, mechanistic, and quantitative approaches in toxicology.
Emphasis is placed on the development and application of computational approaches for analyzing and integrating toxicogenomics data. These include in silico screening, quantitative structure–activity relationship (QSAR) and read-across methods, network and systems toxicology, and physiologically based pharmacokinetic (PBPK) modeling. Studies linking chemical structure with gene expression-based biological responses to support mechanism-informed predictions of toxicity are especially encouraged.
Research involving high-throughput screening, adverse outcome pathways (AOPs), toxicokinetics and toxicodynamics (TK/TD), exposure–bioactivity relationships, and multi-omics approaches—including transcriptomics, proteomics, and metabolomics—is also within scope.
Topics include, but are not limited to, the following:
- Network toxicology;
- In silico screening, QSAR modeling;
- High-throughput screening and toxicogenomics programs (e.g., ToxCast and Tox21);
- Adverse Outcome Pathways (AOPs) and mechanism-based models of toxicity;
- Benchmark dose and dose–response modeling;
- Bayesian modeling and uncertainty quantification;
- Cheminformatics and chemical bioactivity analysis;
- Public toxicological databases and computational resources;
- Chemical prioritization and exposure–bioactivity analysis;
- Mixture risk assessment and cumulative exposure modeling.
Editorial Board
Special Issue
Following special issue within this section is currently open for submissions:
- Feature Papers in Toxicogenomics (Deadline: 20 December 2026)
