Virtual Screening of Nrf2 Dietary-Derived Agonists and Safety by a New Deep-Learning Model and Verified <i>In Vitro</i> and <i>In Vivo</i>-Reference-Cited by-同舟云学术

Virtual Screening of Nrf2 Dietary-Derived Agonists and Safety by a New Deep-Learning Model and Verified In Vitro and In Vivo

Published:2023-05-17 Issue:21 Volume:71 Page:8038-8049
ISSN:0021-8561
Container-title:Journal of Agricultural and Food Chemistry
language:en
Short-container-title:J. Agric. Food Chem.

Author:

Liu Song¹^ORCID,Qin Huan-Huan¹,Ji Xin-Ran¹,Gan Jian-Wen¹,Sun Meng-Jia¹,Tao Jin¹,Tao Zhuo-Qi¹,Zhao Guang-Nian²³^ORCID,Ma Bing-Xin⁴

Affiliation:

1. Institute of Pharmaceutical Process, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Medicine, Wuhan University of Science and Technology, Wuhan 430065, China

2. Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

3. National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

4. Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

Funder

Health Commission of Hubei Province

Natural Science Foundation of Hubei Province

National Natural Science Foundation of China

Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology

Publisher

American Chemical Society (ACS)

Subject

General Agricultural and Biological Sciences,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jafc.3c00867