Use of Structural Alerts for Reactive Metabolites in the Application SpotRM.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-08-19 Epub Date: 2024-08-01 DOI:10.1021/acs.chemrestox.4c00205
Alf Claesson
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Abstract

Reactive metabolite (RM) formation is widely accepted as playing a crucial role in causing idiosyncratic adverse drug reactions (IADRs), where the liver is most affected. An important goal of drug design is to avoid selection of drug candidates giving rise to RMs and therefore risk causing problems later on involving IADRs. The simplest, initial approach is to avoid test structures that have substructures known or strongly suspected to be associated with IADRs. However, as is evident from the many case reports of IADRs, in most cases a clear association with any (bio)chemical mechanism is lacking, which makes it hard to establish any structure-toxicity relationship. Separate studies of RM formation, in vitro and in vivo, have led to likely evidence and to establishing many structural alerts (SAs) that can be used for fast selection/deselection of planned test compounds. As a background to a discussion of the concept, 25 kinase inhibitor drugs with known problems of hepatotoxicity were probed against a set of SAs contained in the application SpotRM. A clear majority of the probed drugs show liabilities as evident by being flagged by more than one of the fairly established types of SAs. At the same time, no clear SAs were found in three drugs, which is discussed in the broader context of usefulness and selection tactics of SAs in drug design.

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在应用 SpotRM 中使用反应代谢物结构警报。
人们普遍认为,反应性代谢物(RM)的形成在导致特异性药物不良反应(IADR)中起着至关重要的作用,而肝脏受影响最大。药物设计的一个重要目标就是避免选择会产生 RM 的候选药物,从而避免日后出现涉及 IADR 的问题。最简单的初步方法是避免测试已知或被强烈怀疑与 IADRs 有关的子结构。然而,从许多有关 IADR 的案例报告中可以明显看出,在大多数情况下,IADR 与任何(生物)化学机制都缺乏明确的联系,因此很难确定结构与毒性之间的关系。通过分别在体外和体内对 RM 的形成进行研究,已经找到了可能的证据,并建立了许多结构警报(SA),可用于快速选择/取消选择计划中的试验化合物。作为讨论这一概念的背景,我们根据 SpotRM 应用程序中包含的一组 SA,对 25 种已知存在肝毒性问题的激酶抑制剂药物进行了检测。绝大多数被检测药物都有明显的肝毒性问题,因为它们被不止一种相当成熟的 SAs 标记。同时,在三种药物中没有发现明确的 SAs,我们将从更广泛的角度讨论药物设计中 SAs 的有用性和选择策略。
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4.30%
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567
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