School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool L3 3AF, U.K.
KREATiS SAS, 23 rue du Creuzat, ZAC de St-Hubert 38080, L'Isle d'Abeau, France.
Environ Sci Technol. 2022 Dec 20;56(24):17805-17814. doi: 10.1021/acs.est.2c03736. Epub 2022 Nov 29.
The performance of chemical safety assessment within the domain of environmental toxicology is often impeded by a shortfall of appropriate experimental data describing potential hazards across the many compounds in regular industrial use. In silico schemes for assigning aquatic-relevant modes or mechanisms of toxic action to substances, based solely on consideration of chemical structure, have seen widespread employment─including those of Verhaar, Russom, and later Bauer (MechoA). Recently, development of a further system was reported by Sapounidou, which, in common with MechoA, seeks to ground its classifications in understanding and appreciation of molecular initiating events. Until now, this Sapounidou scheme has not seen implementation as a tool for practical screening use. Accordingly, the primary purpose of this study was to create such a resource─in the form of a computational workflow. This exercise was facilitated through the formulation of 183 structural alerts/rules describing molecular features associated with narcosis, chemical reactivity, and specific mechanisms of action. Output was subsequently compared relative to that of the three aforementioned alternative systems to identify strengths and shortcomings as regards coverage of chemical space.
在环境毒理学领域内进行化学安全评估时,往往因缺乏描述常用工业化合物潜在危害的适当实验数据而受阻。基于化学结构来预测物质对水生生物产生毒性作用的相关模式或机制的计算方法得到了广泛应用,包括 Verhaar、Russom 和后来的 Bauer(MechoA)的方法。最近,Sapounidou 报告了进一步的系统开发,该系统与 MechoA 一样,试图将其分类建立在对分子起始事件的理解和评价的基础上。到目前为止,这个 Sapounidou 方案尚未作为实际筛选工具实施。因此,本研究的主要目的是创建这样一个资源,即计算工作流程。这一工作通过制定 183 条结构警示/规则来实现,这些规则描述了与麻醉、化学反应性和特定作用机制相关的分子特征。随后,将输出结果与上述三个替代系统进行比较,以确定在化学空间覆盖方面的优缺点。