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相关概念视频

Oligosaccharide Assembly01:24

Oligosaccharide Assembly

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Protein glycosylation starts in the ER lumen and continues in the Golgi apparatus. Glycosyltransferases catalyze the addition of sugar molecules or glycosylation of proteins. Usually, these enzymes add sugars to the hydroxyl groups of selected serine or threonine residues to form O-linked glycans or the amino groups of asparagine residues to form N-linked glycans. Different positions on the same polypeptide chain can contain differently linked glycans.
Multiple sugar molecules that may or may...
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相关实验视频

Updated: Jun 14, 2025

Author Spotlight: MAPP Protocol &#8211; Advancing Glycan Analysis
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使用特征诱导结构诊断与深度学习模型集成的深度结构层次N-glycan识别.

Suideng Qin1, Zhixin Tian2

  • 1School of Chemical Science & Engineering, Shanghai Key Laboratory of Chemical Assessment and Sustainability, Tongji University, Shanghai, 200092, China.

Analytical and bioanalytical chemistry
|August 30, 2024
PubMed
概括

这项研究引入了一个深度学习模型,用于精确的N-甘氨酸结构识别,解决复杂的异构体. 这种新方法通过准确区分甘氨酸结构来增强N-糖蛋白组学分析.

关键词:
在FISDD中,我们可以看到.主要的图案是特色图案.N-Glycan 的结构结构在N-Glycoproteomics中使用.神经网络的神经网络

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Author Spotlight: Unveiling the Structural and Dynamic Aspects of Glycan Molecular Recognition
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The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
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相关实验视频

Last Updated: Jun 14, 2025

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The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
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科学领域:

  • 生物化学 生物化学
  • 计算生物学 计算生物学
  • 蛋白质组学是指蛋白质组学.

背景情况:

  • N-糖化是具有复杂结构的关键蛋白质修饰.
  • 现有的生物信息学方法难以解决N-甘氨酸序列和链接异构体.

研究的目的:

  • 开发一种深度学习方法,用于高分辨率的N-glycan结构识别.
  • 改进具有挑战性的甘氨酸异构体的区分,包括对称和链接异构体.

主要方法:

  • 功能诱导结构诊断 (FISD) 与深度学习模型的整合.
  • 训练一个神经网络,包括一个卷积自编码器和多层感知子,在N-glycoproteomics数据.
  • 利用MS/MS光谱中的23个图案特征来预测N-糖甘图案.

主要成果:

  • 实现了0.8的预测准确度和0.95AUC的N-甘氨酸动机识别.
  • 通过第5701号决议,使用诊断离子使用以前未被分配的N-甘氨酸结构.
  • 确定了两个新的碎片化特征 (m/z 674.25,835.28),对特定的N-甘氨酸基因具有重要意义.

结论:

  • 开发的深度学习模型显著提高了N-glycan结构识别的准确性.
  • 与深度学习集成的FISD有效地解决了复杂的糖甘异构体,并发现了新的光谱特征.
  • 这种方法推进了N-glycoproteomics,使N-glycans的结构洞察力更深入.