Preliminary prediction of toxicologically relevant physicochemical properties of Novichoks: the first comparative in silico studies

IF 5.4 2区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Maciej Noga , Kamil Jurowski
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引用次数: 0

Abstract

Advanced freely available and commercial in silico methods have been applied to predict the key physicochemical properties of Novichok agents, which are supertoxic organophosphorus compounds with limited experimental data due to their extreme toxicity and legal restrictions. Toxicologically relevant physicochemical properties including boiling and melting points, vapour pressure, water solubility, partition coefficients (log P, log KOW, log KOA), Henry's constants, and dissociation constants (pKa), were successfully predicted using appropriate in silico methods. These properties are essential for estimating, based on computational models, the toxicological characteristics, potential environmental behavior, and bioaccumulation tendencies of these hazardous substances. The validation process highlighted the strengths and limitations of the applied methods. OPERA and Percepta delivered the most accurate predictions for boiling and melting points, whereas the EPI Suite and TEST excelled in vapour pressure estimates. However, the significant variability in water solubility predictions underscores the need for methodological refinement and consensus approaches. Model predictions suggest that Novichok agents may exhibit high density (1–1.84 g/mL), moderate to high lipophilicity (logP: −0.68 - 3.06), and generally low vapour pressure (log VP: −6.09 - 10 mmHg). Despite these insights, all results should be interpreted as preliminary and hypothesis-generating, pending experimental validation. This study illustrates the potential utility, but also the current limitations, of in silico methods in the context of assessing supertoxic Novichok agents under conditions where experimental work is constrained.
初步预测诺维乔克的毒理学相关的物理化学性质:第一个比较在硅研究。
诺维乔克剂是一种超毒性有机磷化合物,由于其剧毒和法律限制,实验数据有限,已经应用了先进的、可免费获得的和商业化的计算机方法来预测诺维乔克剂的关键理化性质。毒理学相关的物理化学性质,包括沸点和熔点、蒸汽压、水溶性、分配系数(log P、log KOW、log KOA)、亨利常数和解离常数(pKa),通过适当的计算机方法成功预测。这些特性对于基于计算模型估计这些有害物质的毒理学特征、潜在的环境行为和生物积累趋势至关重要。验证过程突出了所应用方法的优点和局限性。OPERA和Percepta提供了最准确的沸点和熔点预测,而EPI Suite和TEST在蒸汽压力估计方面表现出色。然而,水溶性预测的显著可变性强调了方法改进和共识方法的必要性。模型预测表明,诺维乔克剂可能表现出高密度(1 - 1.84 g/mL)、中高亲脂性(logP: -0.68 - 3.06)和低蒸气压(logvp: -6.09 - 10 mmHg)。尽管有这些见解,所有的结果应该被解释为初步的和假设产生,等待实验验证。这项研究说明了在实验工作受限的情况下,在评估超毒性诺维乔克剂的背景下,计算机方法的潜在效用,但也有目前的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.70
自引率
3.90%
发文量
410
审稿时长
36 days
期刊介绍: Chemico-Biological Interactions publishes research reports and review articles that examine the molecular, cellular, and/or biochemical basis of toxicologically relevant outcomes. Special emphasis is placed on toxicological mechanisms associated with interactions between chemicals and biological systems. Outcomes may include all traditional endpoints caused by synthetic or naturally occurring chemicals, both in vivo and in vitro. Endpoints of interest include, but are not limited to carcinogenesis, mutagenesis, respiratory toxicology, neurotoxicology, reproductive and developmental toxicology, and immunotoxicology.
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