| Autor: |
Kevin M. Crofton, Arianna Bassan, Mamta Behl, Yaroslav G. Chushak, Ellen Fritsche, Jeffery M. Gearhart, Mary Sue Marty, Moiz Mumtaz, Manuela Pavan, Patricia Ruiz, Magdalini Sachana, Rajamani Selvam, Timothy J. Shafer, Lidiya Stavitskaya, David T. Szabo, Steven T. Szabo, Raymond R. Tice, Dan Wilson, David Woolley, Glenn J. Myatt |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Comput Toxicol |
| ISSN: |
2468-1113 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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