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Editorial: Application of new approach methodologies in toxicological assessment of next-generation tobacco and nicotine products. [PDF]
Lemus R +4 more
europepmc +1 more source
The Role of ES&T in Advancing Environmental Toxicology and Chemical Risk Assessment: Past, Present, and Future. [PDF]
Escher BI +3 more
europepmc +1 more source
British Journal of Clinical Pharmacology, Volume 92, Issue 7, Page 1991-1993, July 2026.
Andrej Belančić +5 more
wiley +1 more source
Presentation to the American College of Toxicology’s online Advanced Comprehensive Toxicology course August 2021Search for CCTE records in EPA’s Science Inventory by typing in the title at this link.https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeID=&epaNumber ...
Friedemann Schmidt
semanticscholar +4 more sources
Machine Learning Methods in Computational Toxicology [PDF]
Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various types of molecular descriptors, both "handcrafted" and "data-driven," are considered in the context of their use in computational toxicology.
I. Baskin
semanticscholar +4 more sources
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What is Computational Toxicology?
Methods in Molecular Biology, 2012Computational toxicology is a vibrant and rapidly developing discipline that integrates information and data from a variety of sources to develop mathematical and computer-based models to better understand and predict adverse health effects caused by chemicals, such as environmental pollutants and pharmaceuticals.
Brad Reisfeld, Reisfeld Brad
exaly +3 more sources
Computational Systems Toxicology
Toxicogenomics is an emerging field defined by the adaptation and application of functional genomics techniques to toxicology. Recent advances in generating and analyzing multi-omics data have facilitated the development of toxicogenomics to provide novel answers to many toxicology-related questions.
Constantinescu, Simona +4 more
core +3 more sources
Advances in Computational Toxicology
Challenges and Advances in Computational Chemistry and Physics, 2019exaly +3 more sources
This volume explores techniques that are currently used to understand solid target-specific models in computational toxicology. The chapters are divided into four sections and discuss topics such as molecular descriptors, QSAR and read-across; molecular ...
S. Thakkar, R. Perkins, H. Hong, W. Tong
core +4 more sources

