| Literature DB >> 35844258 |
Kevin M Crofton1, Arianna Bassan2, Mamta Behl3, Yaroslav G Chushak4, Ellen Fritsche5, Jeffery M Gearhart4, Mary Sue Marty6, Moiz Mumtaz7, Manuela Pavan2, Patricia Ruiz7, Magdalini Sachana8, Rajamani Selvam9, Timothy J Shafer10, Lidiya Stavitskaya9, David T Szabo11, Steven T Szabo12, Raymond R Tice13, Dan Wilson6, David Woolley14, Glenn J Myatt15.
Abstract
Neurotoxicology is the study of adverse effects on the structure or function of the developing or mature adult nervous system following exposure to chemical, biological, or physical agents. The development of more informative alternative methods to assess developmental (DNT) and adult (NT) neurotoxicity induced by xenobiotics is critically needed. The use of such alternative methods including in silico approaches that predict DNT or NT from chemical structure (e.g., statistical-based and expert rule-based systems) is ideally based on a comprehensive understanding of the relevant biological mechanisms. This paper discusses known mechanisms alongside the current state of the art in DNT/NT testing. In silico approaches available today that support the assessment of neurotoxicity based on knowledge of chemical structure are reviewed, and a conceptual framework for the integration of in silico methods with experimental information is presented. Establishing this framework is essential for the development of protocols, namely standardized approaches, to ensure that assessments of NT and DNT based on chemical structures are generated in a transparent, consistent, and defendable manner.Entities:
Keywords: Computational toxicology; Developmental neurotoxicity; Expert system; Hazard identification; In silico; In silico toxicology protocols; Neurotoxicity; Profilers; QSAR; Read-across; Risk assessment
Year: 2022 PMID: 35844258 PMCID: PMC9281386 DOI: 10.1016/j.comtox.2022.100223
Source DB: PubMed Journal: Comput Toxicol ISSN: 2468-1113