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Updated: Jul 12, 2025

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification
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具有损失功能的蛋白质质量评估,旨在为高质量的诱设计

Soumyadip Roy1, Asa Ben-Hur1

  • 1Department of Computer Science, Colorado State University, Fort Collins, CO, United States.

Frontiers in bioinformatics
|November 2, 2023
PubMed
概括

这项研究介绍了Qepsilon,这是一个用于评估蛋白质3D结构诱质量的图形卷积网络. 它通过使用新的损失函数和最小的功能实现了最先进的性能.

关键词:
结构预测结构的批判性评估.深度学习是一种深度学习.对于epsilon-不敏感的损失函数.图表 卷积网络 卷积网络蛋白质结构质量评估 蛋白质结构质量评估

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