Quantitative Structure-Toxicity Relationship for Predicting Acute Toxicity of Phenols

DOI

10.2991/bst-16.2016.2How to use a DOI?

Keywords

Phenols, QSTR, Acute toxicity.

Abstract

Phenols represent one of the most important classes of environmental chemicals. Most of them may cause serious public health and environmental problems. The present work is to develop an effective QSTR model for acute toxicity, a toxicological endpoint of Phenols. We calculated various descriptors and used linear regression way to select relevant parameters, and built a QSTR model. The model showed a good forecasting ability. Based on the descriptors, a further discussion was presented for the toxic mechanism.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhi-Xiang Zhou
AU  - Meng-Nan Qin
AU  - Yang-Hua Liu
AU  - Xiao-Long Zhang
AU  - Han-Dong Li
PY  - 2016/01
DA  - 2016/01
TI  - Quantitative Structure-Toxicity Relationship for Predicting Acute Toxicity of Phenols
BT  - Proceedings of the 2016 International Conference on Biological Sciences and Technology
PB  - Atlantis Press
SP  - 5
EP  - 9
SN  - 2468-5747
UR  - https://doi.org/10.2991/bst-16.2016.2
DO  - 10.2991/bst-16.2016.2
ID  - Zhou2016/01
ER  -