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SAR and QSAR in Environmental Research Volume 30, 2019 - Issue 8

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In silico prediction of dermal absorption of pesticides – an evaluation of selected models against results from in vitro testing

D. EleftheriadouDepartment for Pesticide Safety, German Federal Institute for Risk Assessment, Berlin, GermanyView further author information

S. LuetteDepartment for Pesticide Safety, German Federal Institute for Risk Assessment, Berlin, GermanyView further author information

C. KneuerDepartment for Pesticide Safety, German Federal Institute for Risk Assessment, Berlin, GermanyCorrespondence[email protected]
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Pages 561-585 | Received 05 Jun 2019, Accepted 13 Jul 2019, Published online: 05 Sep 2019

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https://doi.org/10.1080/1062936X.2019.1644533
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Sadra Kashef Ol Gheta, Anne Bonin, Thomas Gerlach & Andreas H. Göller. (2023) Predicting absolute aqueous solubility by applying a machine learning model for an artificially liquid-state as proxy for the solid-state. Journal of Computer-Aided Molecular Design 37:12, pages 765-789.
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Anna W. Sobańska. (2023) In silico assessment of risks associated with pesticides exposure during pregnancy. Chemosphere 329, pages 138649.
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Frank Liu & Richard W. Hutchinson. (2023) Semiquantitative sensitization safety assessment of extractable and leachables associated with parenteral pharmaceutical products. Regulatory Toxicology and Pharmacology 138, pages 105335.
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Sébastien Grégoire, Ian Sorrell, Daniela Lange, Abdulkarim Najjar, Andreas Schepky, Corie Ellison, John Troutman, Eric Fabian, Hélène Duplan, Camille Genies, Carine Jacques-Jamin, Martina Klaric & Nicola J. Hewitt. (2021) Cosmetics Europe evaluation of 6 in silico skin penetration models. Computational Toxicology 19, pages 100177.
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