Proceedings of the 2016 International Conference on Biological Sciences and Technology

Quantitative Structure-Toxicity Relationship for Predicting Acute Toxicity of Phenols

Authors
Zhi-Xiang Zhou, Meng-Nan Qin, Yang-Hua Liu, Xiao-Long Zhang, Han-Dong Li
Corresponding Author
Zhi-Xiang Zhou
Available Online January 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
The International Conference on Biological Sciences and Technology
Part of series
Advances in Biological Sciences Research
Publication Date
January 2016
ISBN
978-94-6252-161-2
ISSN
2468-5747
DOI
https://doi.org/10.2991/bst-16.2016.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - The International Conference on Biological Sciences and Technology
PB  - Atlantis Press
SN  - 2468-5747
UR  - https://doi.org/10.2991/bst-16.2016.2
DO  - https://doi.org/10.2991/bst-16.2016.2
ID  - Zhou2016/01
ER  -