Accurate Prediction of Rat Acute Oral Toxicity and Reference Dose for Thousands of Polycyclic Aromatic Hydrocarbon Derivatives Based on Chemometric QSAR and Machine Learning-Reference-Cited by-同舟云学术

Accurate Prediction of Rat Acute Oral Toxicity and Reference Dose for Thousands of Polycyclic Aromatic Hydrocarbon Derivatives Based on Chemometric QSAR and Machine Learning

Published:2024-08-13 Issue: Volume: Page:
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Wu Shuang¹,Li Shi-Xin¹,Qiu Jing¹,Zhao Hai-Ming¹^ORCID,Li Yan-Wen¹,Feng Nai-Xian¹,Liu Bai-Lin¹,Cai Quan-Ying¹,Xiang Lei¹^ORCID,Mo Ce-Hui¹^ORCID,Li Qing X.²

Affiliation:

1. Guangdong Provincial Research Center for Environment Pollution Control and Remediation Materials, College of Life Science and Technology, Jinan University, Guangzhou 510632, China

2. Department of Molecular Biosciences and Bioengineering, University of Hawaii at Manoa, Honolulu, Hawaii, 96822, United States

Funder

Science and Technology Planning Project of Guangdong Province

Basic and Applied Basic Research Foundation of Guangdong Province

Guangzhou Municipal Science and Technology Bureau

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

U.S. Department of Agriculture

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.4c03966

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