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DART Predictor: A Multi-Label Attention Model for High-Throughput Screening of Chemicals with Developmental and Reproductive Toxicity (DART)

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Year: 2025
Type: article
Source: Environmental Science & Technology
DOI: 10.1021/acs.est.5c11641
Authors: Yuchen Gao, Yizhou Huang, Xuanlin Chen, Shixuan Cui, Yiwei Jiang, Xiyu Chen, Yaxuan Zhao, Weiping Liu, Shulin Zhuang
Institutions: Women's Hospital, Women's Hospital, School of Medicine, Zhejiang University, Zhejiang University, Shandong Normal University, University of Nottingham Ningbo China
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, National Key Research and Development Program of China
Awards: G3221735096, G3462654131, G3489212457, G8294517632, G8894300662
OpenAlex ID: W4416674591
FWCI: 0.957
Cites: 53
Cited by: 2
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