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Updated: Sep 16, 2025

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Preliminary prediction of toxicologically relevant physicochemical properties of Novichoks: the first comparative in
1Department of Regulatory and Forensic Toxicology, Institute of Medical Expertises in Łódź, ul. Aleksandrowska 67/93, 91-205, Łódź, Poland.
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.
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