频谱破碎器:一个可视化工具,集成手动策划,离子强度预测和De Novo标签生成
Aline A M Martins1, Blake L Tsu1, Hulyana Brum2
1Integrated Space Stem Cell Orbital Research Center, University of California San Diego, La Jolla, San Diego, California ZIP: 92037, United States.
Journal of the American Society for Mass Spectrometry
|December 29, 2025
概括
光谱破碎器通过整合 de novo 测序,注释和新型预测器 (SpecFormer) 来提高蛋白质组分析,以准确预测碎片离子强度. 该工具有助于研究人员验证标识并了解算法限制.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
背景情况:
- 手动修复蛋白质组双重质谱是耗时的.
- 桥梁手动策划和计算分析对于高效的蛋白质组学研究至关重要.
- 现有的计算工具可能缺乏特定仪器的准确性和交互式可视化.
研究的目的:
- 介绍Spectral Cruncher,这是PatternLab for Proteomics平台的一个交互式扩展.
- 为了整合 de novo 序列标签提取,自动光谱注释,有针对性的标签搜索和片段离子强度预测器 (SpecFormer).
- 为蛋白质组数据提供特定仪器可视化和准确的强度预测.
主要方法:
- 整合了de novo序列标签提取和自动光谱注释.
- 实现一个定制的基于变压器的碎片离子强度预测器 (SpecFormer).
- 在多个数据集 (Q-Exactive+,Astral批量,Astral单细胞) 上培训 SpecFormer,用于特定仪器模型.
主要成果:
- SpecFormer实现了高预测性能,平均共因相似度为~0.98 (Q-Exactive+批量),~0.91 (天体批量) 和~0.87 (天体单细胞).
- 精确的强度预测甚至在稀疏的碎片化和低信号噪声比的情况下也得到了实现.
- 集成的工具有助于对模两可的光谱进行查询,并验证标识.
结论:
- 光谱Cruncher和SpecFormer提供了一个统一的图形环境,用于交互式蛋白质组数据分析.
- 这些工具提高了标识和光谱解释的准确性和效率.
- 自由可用的工具降低技术障碍,促进专家驱动的工作流程和蛋白质组学学习.
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