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MAGED:多模态注意力图学习与基因表达动态在TCM目标预测的知识图上

Fengming Chen1, Shichao Fang2, Ranran Zhao1

  • 1State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, P. R. China.

Journal of ethnopharmacology
|January 17, 2026
PubMed
概括

这项研究引入了MAGED,这是一种新的框架,将传统医学知识与基因表达数据相结合,以准确预测草药向相互作用. 该模型显示了显著的改进,有助于草药发现和识别新的治疗点.

关键词:
注意力机制 注意力机制药物目标预测的预测图形神经网络的神经网络多模式学习多模式学习传统中国医药 传统中国医药

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