Overview of Computational Toxicology Methods Applied in Drug and Green Chemical Discovery [PDF]
In the field of computational chemistry, computer models are quickly and cheaply constructed to predict toxicology hazards and results, with no need for test material or animals as these computational predictions are often based on physicochemical ...
Jose I. Bueso-Bordils +3 more
doaj +3 more sources
ToxicR: A computational platform in R for computational toxicology and dose-response analyses. [PDF]
Wheeler MW +12 more
europepmc +4 more sources
The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency. [PDF]
The U.S. Environmental Protection Agency (EPA) is faced with the challenge of efficiently and credibly evaluating chemical safety often with limited or no available toxicity data.
Thomas RS +41 more
europepmc +4 more sources
A Computational Toxicology Approach to Screen the Hepatotoxic Ingredients in Traditional Chinese Medicines: Polygonum multiflorum Thunb as a Case Study. [PDF]
In recent years, liver injury induced by Traditional Chinese Medicines (TCMs) has gained increasing attention worldwide. Assessing the hepatotoxicity of compounds in TCMs is essential and inevitable for both doctors and regulatory agencies.
He S +5 more
europepmc +4 more sources
Current Knowledge on the Use of Computational Toxicology in Hazard Assessment of Metallic Engineered Nanomaterials. [PDF]
As listed by the European Chemicals Agency, the three elements in evaluating the hazards of engineered nanomaterials (ENMs) include the integration and evaluation of toxicity data, categorization and labeling of ENMs, and derivation of hazard threshold ...
Chen G +3 more
europepmc +4 more sources
EPA's DSSTox database: History of development of a curated chemistry resource supporting computational toxicology research. [PDF]
Grulke CM +3 more
europepmc +3 more sources
Advancing Computational Toxicology by Interpretable Machine Learning. [PDF]
Chemical toxicity evaluations for drugs, consumer products, and environmental chemicals have a critical impact on human health. Traditional animal models to evaluate chemical toxicity are expensive, time-consuming, and often fail to detect toxicants in ...
Jia X, Wang T, Zhu H.
europepmc +2 more sources
Federated Learning in Computational Toxicology: An Industrial Perspective on the Effiris Hackathon. [PDF]
In silico approaches have acquired a towering role in pharmaceutical research and development, allowing laboratories all around the world to design, create, and optimize novel molecular entities with unprecedented efficiency.
Bassani D, Brigo A, Andrews-Morger A.
europepmc +2 more sources
In Vitro and Predictive Computational Toxicology Methods for the Neurotoxic Pesticide Amitraz and Its Metabolites. [PDF]
The Varroa destructor parasite is responsible for varroasis in honeybees worldwide, the most destructive disease among parasitic diseases. Thus, different insecticides/acaricides have been widely used within beehives to control these parasitic diseases ...
Giorgini M +4 more
europepmc +2 more sources
The rapid development of computational toxicology. [PDF]
Ten years ago, Archives of Toxicology has issued an Editorial by R.D. Combes (2010) entitled “Is computational toxicology withering on the vine?” At that time, there was an ongoing development in the computational handling of molecular descriptors ...
Bolt HM, Hengstler JG.
europepmc +2 more sources

