Evaluation of SARs for the prediction of skin irritation/corrosion potential–structural inclusion rules in the BfR decision support system†-Reference-Cited by-同舟云学术

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Evaluation of SARs for the prediction of skin irritation/corrosion potential–structural inclusion rules in the BfR decision support system†

Published:2007-05 Issue:3-4 Volume:18 Page:331-342
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Gallegos Saliner A.,Tsakovska I.,Pavan M.,Patlewicz G.,Worth A. P.

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/10629360701304014

Reference24 articles.

1. 2006. The Complete REACH documentation. Available online at:http://europa.eu.int/comm/enterprise/reach/overview.htm(accessed 3 May)

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3. Machine-learning based prediction models for assessing skin irritation and corrosion potential of liquid chemicals using physicochemical properties by XGBoost;Toxicological Research;2023-01-23

4. In Silico Toxicology;Drug Discovery and Evaluation: Safety and Pharmacokinetic Assays;2023

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