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Updated: Jul 1, 2025

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
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曲率增强图形卷积网络用于生物分子相互作用预测.

Cong Shen1,2, Pingjian Ding3, Junjie Wee2

  • 1College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410000, China.

Computational and structural biotechnology journal
|March 1, 2024
PubMed
概括

我们介绍了一个曲率增强的图形卷积网络 (CGCN),用于预测生物分子相互作用. 这种新的方法通过结合像奥利维埃-里奇曲率这样的几何性质,显著优于现有模型的现实数据.

关键词:
生物分子相互作用图表 卷积网络 卷积网络奥利维埃 - 里奇曲线

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