Frontiers in Toxicology | Computational Toxicology and Informatics

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Editors

See all

alexander tropsha

University of North Carolina at Chapel Hill

Chapel Hill, United States

Specialty Chief Editor

Computational Toxicology and Informatics
antreas afantitis

NovaMechanics Ltd

Nicosia, Cyprus

Associate Editor

Computational Toxicology and Informatics
scott auerbach

National Institute of Environmental Health Sciences (NIH)

Durham, United States

Associate Editor

Computational Toxicology and Informatics
luca dellafiora

University of Parma

Parma, Italy

Associate Editor

Computational Toxicology and Informatics

Computational Toxicology and Informatics

Submit your research

Author guidelines

Editor guidelines

Peer review

Publishing fees

Editors

alexander tropsha

antreas afantitis

scott auerbach

luca dellafiora

Articles

A deep-learning approach to predict reproductive toxicity of chemicals using communicative message passing neural network

Unlocking liver physiology: comprehensive pathway maps for mechanistic understanding

Quantitative adverse outcome pathway modeling for cigarette smoke-inducible airway mucus hypersecretion. Part 2: Bayesian network modeling for probabilistic risk estimation

Elucidating the mechanistic relationships between peroxisome proliferator–activated receptors and hepatic fibrosis using the ROBOKOP knowledge graph

Research Topics

Application of New Approach Methodologies in Toxicological Assessment of Next Generation Tobacco and Nicotine Products

Educational Frontiers in Computational Toxicology: Building the Future Workforce

The toxicology of cannabis and cannabis-based products

Models, methods, and tools for improved mechanistic understanding in nanotoxicology