Work

From Nuclear Receptors to GPCRs: a Deep Transfer Learning Approach for Enhanced Environmental Estrogen Recognition

Year: 2025

Type: article

Source: Environmental Science & Technology

DOI: 10.1021/acs.est.5c02014

Authors: Tingji Yao, Jiaqi Luo, Xiaoxiao Han, Hang Yi, Huazhou Zhang, Wenxiao Pan, Qiao Xue, Xian Liu, Jianjie Fu, Aiqian Zhang

Institutions: Chinese Academy of Sciences, Research Center for Eco-Environmental Sciences, University of Chinese Academy of Sciences, State Key Laboratory of Environmental Chemistry and Ecotoxicology, Jianghan University

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences

Awards: G3915925641, G6007918836, G6896930262, G7956258992, G8506059077

OpenAlex ID: W4409963573

FWCI: 3.97

Cites: 45

Cited by: 8

Related to: 10