The use and production of chemical compounds are subjected to strong legislative pressure.
Chemical toxicity and adverse effects derived from exposure to chemicals are key regulatory …

Toxicity prediction is a critical step in the drug discovery process that helps identify and
prioritize compounds with the greatest potential for safe and effective use in humans, while …

Determining the toxicity of chemicals is necessary to identify their harmful effects on humans,
animals, plants, or the environment. It is also one of the main steps in drug design. Animal …

In silico toxicity prediction plays an important role in the regulatory decision making and
selection of leads in drug design as in vitro/vivo methods are often limited by ethics, time …

OpenTox provides an interoperable, standards-based Framework for the support of
predictive toxicology data management, algorithms, modelling, validation and reporting. It is …

Abstract Machine learning and artificial intelligence approaches have revolutionized
multiple disciplines, including toxicology. This review summarizes representative recent …

Drug toxicity evaluation is an essential process of drug development as it is reportedly
responsible for the attrition of approximately 30% of drug candidates. The rapid increase in …

In silico toxicology in its broadest sense means “anything that we can do with a computer in
toxicology.” Many different types of in silico methods have been developed to characterize …

Industrial advances have led to generation of multi-component chemicals, materials and
pharmaceuticals which are directly or indirectly affecting the environment. Although toxicity …

In recent times, machine learning has become increasingly prominent in predictive
toxicology as it has shifted from in vivo studies toward in silico studies. Currently, in vitro …