3.8 Article

Current status and future directions for a neurotoxicity hazard assessment framework that integrates in silico approaches

期刊

COMPUTATIONAL TOXICOLOGY
卷 22, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.comtox.2022.100223

关键词

In silico; Computational toxicology; Neurotoxicity; Developmental neurotoxicity; In silico toxicology protocols; Hazard identification; Risk assessment; QSAR; Expert system; Profilers; Read-across

资金

  1. National Institute of Environmental Health Sciences of the National Institutes of Health [R44ES026909]

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Neurotoxicology focuses on studying the adverse effects of exposure to chemical, biological, or physical agents on the nervous system, and there is a need for alternative methods to assess these effects. The research emphasizes on using computer-assisted methods to predict neurotoxicity based on chemical structure, which must be integrated with experimental information to ensure transparency and consistency in assessments.
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.

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