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ERT-GFAN:一种基于分子生物学和知识增强的注意力机制的多式药物向相互作用预测模型

Xiaoqing Cheng1, Xixin Yang2, Yuanlin Guan3

  • 1College of Computer Science and Technology, Qingdao University, Qingdao, 266071, China.

Computers in biology and medicine
|August 17, 2024
PubMed
概括

ERT-GFAN是一种新的多式模式,通过整合结构,相互作用和上下文特征来增强药物向相互作用预测. 这种方法显著提高了药物发现和理解药物机制的准确性.

关键词:
药物目标预测的预测.图表注意力网络 图表注意力网络知识嵌入是知识嵌入.知识增强的注意力知识增强的注意力多模式特征融合多模式特征融合

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