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Updated: Jun 29, 2025

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应用深度学习来预测蛋白质-连接体相互作用的新范式

Zechen Wang1, Sheng Wang2, Yangyang Li1

  • 1School of Physics, Shandong University, South Shanda Road, 250100 Shandong, China.

Briefings in bioinformatics
|April 6, 2024
PubMed
概括

IGModel是一种新的深度学习方法,使用几何信息准确预测蛋白质 - 连接体相互作用和结合强度. 这种方法提供了物理上有意义的得分,并在基准数据集上实现了最先进的准确性.

关键词:
深度学习是一种深度学习.图表神经网络的神经网络蛋白联体相互作用评分功能是一个得分函数.

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