Evaluating applicability domain of acute toxicity QSAR models for military and industrial chemical risk assessment

IF 2.9 3区 医学 Q2 TOXICOLOGY Toxicology letters Pub Date : 2024-11-26 DOI:10.1016/j.toxlet.2024.11.006
Jennifer L. Fisher , Kris Yamada , Andrew J. Keebaugh , Kelly T. Williams , Carrie L. German , Adam M. Hott , Narender Singh , Rebecca A. Clewell
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Abstract

Quantitative Structure-Activity Relationship (QSAR) models can be used to predict the risk of novel and emergent chemicals causing adverse health outcomes, avoidance of which is crucial for military operations. While QSAR modeling approaches have been proposed for military and industry risk assessment, the applicability of peer-reviewed tissue-specific QSAR models in military and industrial contexts remain largely unexplored, particularly with respect to specific organ toxicity. We investigated the applicability domain (AD) of acute and sub-chronic tissue-specific QSAR models to evaluate the coverage of military- and industrial-relevant chemicals. Our analysis reveals that military-relevant compounds occupy a similar chemical space as industrial compounds. However, published models for acute target organ toxicity had minimal coverage of the military and industrial chemicals. The published Collaborative Acute Toxicity Modeling Suite (CATMoS) acute oral toxicity model was the notable exception, as it covers a broad range of military and industrial chemicals. Our study underscores the urgent need for development of novel tissue-specific QSAR models, or modification of existing models, to improve chemical risk prediction in both industrial and military applications.
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评估急性毒性 QSAR 模型在军事和工业化学品风险评估中的适用领域。
定量结构-活性关系(QSAR)模型可用于预测新型和新出现的化学品对健康造成不利影响的风险,而避免这种风险对军事行动至关重要。虽然已经提出了用于军事和工业风险评估的 QSAR 建模方法,但同行评议的特定组织 QSAR 模型在军事和工业环境中的适用性在很大程度上仍未得到探讨,特别是在特定器官毒性方面。我们调查了急性和亚慢性组织特异性 QSAR 模型的适用域 (AD),以评估军事和工业相关化学品的覆盖范围。我们的分析表明,军事相关化合物与工业化合物占据了类似的化学空间。然而,已发表的急性靶器官毒性模型对军用和工业化学品的覆盖范围极小。已发表的急性毒性建模协作套件(CATMoS)急性口服毒性模型是一个明显的例外,因为它涵盖了广泛的军用和工业化学品。我们的研究强调,迫切需要开发新的组织特异性 QSAR 模型或修改现有模型,以改进工业和军事应用中的化学品风险预测。
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来源期刊
Toxicology letters
Toxicology letters 医学-毒理学
CiteScore
7.10
自引率
2.90%
发文量
897
审稿时长
33 days
期刊介绍: An international journal for the rapid publication of novel reports on a range of aspects of toxicology, especially mechanisms of toxicity.
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