Simulation of the Long-Term Toxicity Towards Bobwhite Quail (Colinus virginianus) by the Monte Carlo Method.

IF 6.8 Q1 TOXICOLOGY
Nadia Iovine, Alla P Toropova, Andrey A Toropov, Alessandra Roncaglioni, Emilio Benfenati
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引用次数: 0

Abstract

In this study, models for NOEL (No Observed Effect Level) and NOEC (No Observed Effect Concentration) related to long-term/reproduction toxicity of various organic pesticides are built up, evaluated, and compared with similar models proposed in the literature. The data have been obtained from the EFSA OpenFoodTox database, collecting only data for the Bobwhite quail (Colinus virginianus). Models have been developed using the CORAL-2023 program, which can be used to develop quantitative structure-property/activity relationships (QSPRs/QSARs) and the Monte Carlo method for the optimization of the model. The software provided a model which may be considered useful for the practice. The determination coefficient of the best models for the external validation set was 0.665.

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来源期刊
CiteScore
5.30
自引率
1.70%
发文量
21
审稿时长
10 weeks
期刊介绍: The Journal of Xenobiotics publishes original studies concerning the beneficial (pharmacology) and detrimental effects (toxicology) of xenobiotics in all organisms. A xenobiotic (“stranger to life”) is defined as a chemical that is not usually found at significant concentrations or expected to reside for long periods in organisms. In addition to man-made chemicals, natural products could also be of interest if they have potent biological properties, special medicinal properties or that a given organism is at risk of exposure in the environment. Topics dealing with abiotic- and biotic-based transformations in various media (xenobiochemistry) and environmental toxicology are also of interest. Areas of interests include the identification of key physical and chemical properties of molecules that predict biological effects and persistence in the environment; the molecular mode of action of xenobiotics; biochemical and physiological interactions leading to change in organism health; pathophysiological interactions of natural and synthetic chemicals; development of biochemical indicators including new “-omics” approaches to identify biomarkers of exposure or effects for xenobiotics.
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