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Updated: Feb 6, 2026

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UniGraphPTMs:通过GNN和多式联络融合进行PTM站点预测的对比学习增强的通用框架

Yiyu Lin1, Jiahui Wu1, Peng Shen1

  • 1School of Computer Science and Artificial Intelligence Aliyun School of Big Data, School of Software, Changzhou University, Changzhou, 213164, China.

BMC genomics
|February 4, 2026
PubMed
概括

UniGraphPTMs是一个新的框架,用于使用多式数据和图形神经网络预测蛋白质后翻译修饰 (PTM) 站点. 它通过整合序列和结构信息来实现卓越的性能,以增强生物洞察力.

关键词:
深度学习是一种深度学习.在GNN中,GNN是最重要的.多式联络融合是多式联络的融合方式.后翻译修改后的修改

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