2019
DOI: 10.24193/subbchem.2019.4.06
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Computational assessment of the ADME-Tox profiles and harmful effects of the most common used phthalates on the human health

Abstract: In this study we consider 25 of the most commonly used phthalates and summarize the available data that support their effects on humans. For 15 of the 25 investigated phthalates (60%) there are no human hazard assessment data, neither from experimental nor from computational studies, which underlines the necessity of their risk assessment. Consequently, we have used various computational tools to predict their ADME-Tox profiles and assess their harmful effects on humans. The outcomes of our study reveal that t… Show more

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Cited by 7 publications
(6 citation statements)
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References 60 publications
(88 reference statements)
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“…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%
“…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%
“…the pharmacological profiles and toxicological endpoints of water-soluble chitosan derivatives (Isvoran et al, 2017), steroids (Roman et al, 2018a), parabens (Roman et al, 2018b), chito-oligomers (Roman et al, 2019), phthalates (Craciun et al, 2019), pesticides (Alves et al, 2018b;Gridan et al, 2019), and low molecular weight oligomers of lactic acid (Dascalu et al, 2020). These methods are summarized in Table 2.…”
Section: Computational Toolmentioning
confidence: 99%