鉴定(生物学)
计算机科学
动作(物理)
机制(生物学)
风险分析(工程)
数据科学
生物
医学
植物
哲学
认识论
量子力学
物理
作者
Romualdo Benigni,Cecilia Bossa
出处
期刊:Current Computer - Aided Drug Design
[Bentham Science Publishers]
日期:2006-05-30
卷期号:2 (2): 169-176
被引量:67
标识
DOI:10.2174/157340906777441663
摘要
This paper summarizes the evidence on the Structural Alerts of mutagenicity and carcinogenicity. The Structural Alerts are molecular substructures or reactive groups that are related to the carcinogenic and mutagenic properties of the chemicals, and represent a sort of " codification " of a long series of studies aimed at highlighting the mechanisms of action of the mutagenic and carcinogenic chemicals. The identification of the Structural Alerts has had a great value both in terms of understanding mechanisms, and of assessing the risk posed by chemicals. This mini-review illustrates a number of case studies where the Structural Alerts have played a fundamental role in risk assessment, and describes recent work aimed at expanding or refining the knowledge on the Structural Alerts through the use of Artificial Intelligence and Data Mining approaches. Keywords: Risk assessment, artificial intelligence, chemical description, data mining, software, action mechanism
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