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XRepDDA: An Interpretable Drug–Disease Association Prediction Framework Leveraging Pretrained Chemical Language Models

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Year: 2026
Type: article
Source: Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.5c02901
Authors: Chenyi Zhang, Yun Zuo, Qiao Ning, Sisi Yuan, Zhaohong Deng, Hongwei Yin, Anjing Zhao
Institutions: Jiangnan University, University of North Carolina at Charlotte
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, Basic Research Program of Jiangsu Province, Fundamental Research Funds for the Central Universities
Awards: G1369565487, G2332012109, G6876770771
OpenAlex ID: W7126190777
FWCI:
Cites: 41
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