Deep Learning Bridged Bioactivity, Structure, and GC-HRMS-Readable Evidence to Decipher Nontarget Toxicants in Sediments-Reference-Cited by-同舟云学术

Deep Learning Bridged Bioactivity, Structure, and GC-HRMS-Readable Evidence to Decipher Nontarget Toxicants in Sediments

Published:2024-05-02 Issue:35 Volume:58 Page:15415-15427
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Cheng Fei¹,Escher Beate I.²^ORCID,Li Huizhen¹^ORCID,König Maria²,Tong Yujun¹,Huang Jiehui¹,He Liwei¹,Wu Xinyan¹,Lou Xiaohan¹,Wang Dali¹^ORCID,Wu Fan¹^ORCID,Pei Yuanyuan¹,Yu Zhiqiang³,Brooks Bryan W.¹⁴^ORCID,Zeng Eddy Y.¹^ORCID,You Jing¹^ORCID

Affiliation:

1. Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China

2. Cell Toxicology, UFZ-Helmholtz Centre for Environmental Research−UFZ, 04318 Leipzig, Germany

3. State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China

4. Department of Environmental Science, Institute of Biomedical Studies, Center for Reservoir and Aquatic Systems Research, Baylor University, Waco, Texas 76798, United States

Funder

Guangdong Provincial Department of Science and Technology

National Key Research and Development Program of China

Guangzhou Municipal Science and Technology Bureau

Department of Education of Guangdong Province

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.3c10814

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