鉴定(生物学)
计算机科学
背景(考古学)
数据挖掘
方案(数学)
过程(计算)
风险分析(工程)
生物信息学
危害
危害分析
可靠性工程
工程类
医学
数学
数学分析
古生物学
生物化学
化学
植物
有机化学
基因
生物
操作系统
作者
Mark T.D. Cronin,Franklin J. Bauer,Mark Bonnell,Bruno Campos,David J. Ebbrell,James W. Firman,Steve Gutsell,Geoff Hodges,Grace Patlewicz,Maria Sapounidou,Nicoleta Spînu,Paul Thomas,Andrew Worth
标识
DOI:10.1016/j.yrtph.2022.105249
摘要
Structure-activity relationships (SARs) in toxicology have enabled the formation of structural rules which, when coded as structural alerts, are essential tools in in silico toxicology. Whilst other in silico methods have approaches for their evaluation, there is no formal process to assess the confidence that may be associated with a structural alert. This investigation proposes twelve criteria to assess the uncertainty associated with structural alerts, allowing for an assessment of confidence. The criteria are based around the stated purpose, description of the chemistry, toxicology and mechanism, performance and coverage, as well as corroborating and supporting evidence of the alert. Alerts can be given a confidence assessment and score, enabling the identification of areas where more information may be beneficial. The scheme to evaluate structural alerts was placed in the context of various use cases for industrial and regulatory applications. The analysis of alerts, and consideration of the evaluation scheme, identifies the different characteristics an alert may have, such as being highly specific or generic. These characteristics may determine when an alert can be used for specific uses such as identification of analogues for read-across or hazard identification.
科研通智能强力驱动
Strongly Powered by AbleSci AI