The quantitative adverse outcome pathway (qAOP) concept is gaining interest due to its potential regulatory applications in chemical risk assessment. Even though an increasing number of qAOP models are being proposed as computational predictive tools, there is no framework to guide their development and assessment. As such, the objectives of this review were to: (i) analyse the definitions of qAOPs published in the scientific literature, (ii) define a set of common features of existing qAOP models derived from the published definitions, and (iii) identify and assess the existing published qAOP models and associated software tools. As a result, five probabilistic qAOPs and ten mechanistic qAOPs were evaluated against the common features. The review offers an overview of how the qAOP concept has advanced and how it can aid toxicity assessment in the future. Further efforts are required to achieve validation, harmonisation and regulatory acceptance of qAOP models.

中文翻译：

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毒性预测的定量不良结局途径（qAOP）模型。

定量不良后果途径（qAOP）概念由于其在化学风险评估中的潜在监管应用而受到关注。即使提出了越来越多的qAOP模型作为计算预测工具，也没有指导其开发和评估的框架。因此，本次审查的目的是：（i）分析科学文献中发表的qAOP的定义，（ii）定义从已发布的定义派生的现有qAOP模型的一组共同特征，以及（iii）识别和确定评估现有已发布的qAOP模型和相关的软件工具。结果，针对共同特征评估了五个概率qAOP和十个机理qAOP。该评论概述了qAOP概念如何发展以及如何在将来帮助毒性评估。需要进一步的努力来实现qAOP模型的验证，协调和监管接受。