2019
DOI: 10.5599/admet.668
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Prediction of ADME-Tox properties and toxicological endpoints of triazole fungicides used for cereals protection

Abstract: <p class="ADMETabstracttext">Within this study we have considered 9 triazole fungicides that are approved to be used in European Union for protecting cereals: cyproconazole, epoxiconazole, flutriafol, metconazole, paclobutrazole, tebuconazole, tetraconazole, triadimenol and triticonazole. We have summarized the few available data that support their effects on humans and used various computational tools to obtain a widely view concerning their possible harmful effects on humans. The results of our… Show more

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Cited by 18 publications
(27 citation statements)
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“…The computational tools that are used in this study have been elaborated for assessing the pharmacological profiles and toxicological endpoints of new drugs, but they were successfully applied for other classes of chemicals: cosmetic ingredients and pesticides (Alves et al, 2018c; Roman et al, 2018a; Gridan et al, 2019), synthetic steroids found on the market as food supplements or veterinary drugs (Roman et al, 2018b), water soluble derivatives of chitosan (Isvoran et al, 2017). It illustrates their applicability for predicting pharmacological properties and toxicological endpoints for many classes of compounds.…”
Section: Methodsmentioning
confidence: 99%
“…The computational tools that are used in this study have been elaborated for assessing the pharmacological profiles and toxicological endpoints of new drugs, but they were successfully applied for other classes of chemicals: cosmetic ingredients and pesticides (Alves et al, 2018c; Roman et al, 2018a; Gridan et al, 2019), synthetic steroids found on the market as food supplements or veterinary drugs (Roman et al, 2018b), water soluble derivatives of chitosan (Isvoran et al, 2017). It illustrates their applicability for predicting pharmacological properties and toxicological endpoints for many classes of compounds.…”
Section: Methodsmentioning
confidence: 99%
“…Prediction of ADMET profile is mainly based on models of the physicochemical properties of chemicals which influence much of their pharmacokinetics, but there are also prediction models of the endpoints in ADME that are based on both in vitro and in vivo assay results [23][24][25][26].…”
Section: K1 K2mentioning
confidence: 99%
“…Information acquired for every investigated sweetener has been synthetized and data are presented in Table I. In order to predict the pharmacokinetics and biological effects of these molecules we have used few accurate computational tools that were extensively used for assessing the biological or side effects of various chemicals: synthetic steroids [34], phthalates [10], oligomers of chitin, chitosan [35] and their derivatives [18], cosmetic ingredients and pesticides [2,16], low molecular weight oligomers of lactic acid [11] and of polydroxyalkanoates [36]. It highlights the applicability of these tools for predicting biological activity and toxicological endpoints for many classes of chemical compounds.…”
Section: Methodsmentioning
confidence: 99%