School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool L3 3AF, United Kingdom.
Molecular Networks GmbH, Neumeyerstraße 28, 90411 Nuremberg, Germany.
Chem Res Toxicol. 2021 Feb 15;34(2):641-655. doi: 10.1021/acs.chemrestox.0c00465. Epub 2020 Dec 14.
Owing to the primary role which it holds within metabolism of xenobiotics, the liver stands at heightened risk of exposure to, and injury from, potentially hazardous substances. A principal manifestation of liver dysfunction is cholestasis-the impairment of physiological bile circulation from its point of origin within the organ to the site of action in the small intestine. The capacity for early identification of compounds liable to exert cholestatic effects is of particular utility within the field of pharmaceutical development, where contribution toward candidate attrition is great. Shortcomings associated with the present methodologies forecasting cholestasis render their predictivity questionable, permitting scope for the adoption of computational toxicology techniques. As such, the intention of this study has been to construct an profiler, founded upon clinical data, highlighting structural motifs most reliably associated with the end point. Drawing upon a list of >1500 small molecular drugs, compiled and annotated by Kotsampasakou, E. and Ecker, G. F. ( , , 608-615), we have formulated a series of 15 structural alerts. These describe fragments intrinsic within distinct pharmaceutical classes including psychoactive tricyclics, β-lactam antimicrobials, and estrogenic/androgenic steroids. Description of the coverage and selectivity of each are provided, alongside consideration of the underlying reactive mechanisms and relevant structure-activity concerns. Provision of mechanistic anchoring ensures that potential exists for framing within the adverse outcome pathway paradigm-the chemistry conveyed through the alert, in particular enabling rationalization at the level of the molecular initiating event.
由于其在异生物质代谢中所扮演的主要角色,肝脏处于暴露和受伤的高风险之中,这些物质可能具有潜在的危险。肝功能障碍的主要表现之一是胆汁淤积——从器官内的起源点到小肠内的作用部位,生理胆汁循环受损。在药物开发领域,早期识别可能产生胆汁淤积作用的化合物的能力具有特殊的实用性,因为这对候选药物的淘汰率有很大的贡献。目前预测胆汁淤积的方法存在缺陷,这使得它们的预测性值得怀疑,因此可以采用计算毒理学技术。因此,本研究的目的是构建一个基于临床数据的分析器,突出与终点最可靠相关的结构基序。该分析器利用 E. Kotsampasakou 和 G. F. Ecker 编制和注释的 >1500 种小分子药物列表(,, 608-615),制定了一系列 15 个结构警示。这些警示描述了包括精神三环类药物、β-内酰胺类抗生素和雌激素/雄激素类固醇在内的不同药物类别中的固有片段。提供了对每个警示的覆盖范围和选择性的描述,同时考虑了潜在的反应机制和相关的结构-活性问题。提供机制锚定确保了存在将其纳入不良结果途径范式的潜力——通过警示传达的化学物质,特别是能够在分子起始事件的水平上进行合理化。