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Updated: Jun 15, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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MolCFL:基于生成集群联合学习的个性化和保护隐私的药物发现框架

Yan Guo1, Yongqiang Gao1, Jiawei Song1

  • 1Inner Mongolia University, College of Computer Science, Hohhot, 010000, China.

Journal of biomedical informatics
|August 25, 2024
PubMed
概括

与MolCFL联合学习通过实现个性化分子设计来增强药物发现. 这种保护隐私的框架提高了医药机构面临数据异质性挑战的效率和协作.

关键词:
集群的联合学习学习.一个新的分子设计 (de novo molecular design).药物发现 药物发现生成性的对抗性网络.

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