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Updated: May 17, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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GTPLM-GO:通过双分支图形转换器和蛋白质语言模型来增强蛋白质功能预测,融合序列和局部-全球PPI信息

Haotian Zhang1, Yundong Sun1,2, Yansong Wang1

  • 1School of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China.

International journal of molecular sciences
|May 14, 2025
PubMed
概括

我们开发了GTPLM-GO,这是一种使用图形神经网络和蛋白质语言模型进行蛋白质功能预测的新方法. 这种方法有效地整合了本地和全球蛋白质-蛋白质相互作用网络信息,提高了预测准确度.

关键词:
个人个人信息网络 (PPI) 网络.双分支的图形变压器图形神经网络的神经网络蛋白质功能的预测和预测.蛋白质语言模型

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