权重低强度MS/MS离子和m/z频率用于光谱图书馆注释
Chloe Engler Hart1, Tobias Kind1, Pieter C Dorrestein2
1Enveda Biosciences, 5700 Flatiron Parkway, Boulder, Colorado 80301, United States.
Journal of the American Society for Mass Spectrometry
|January 25, 2024
概括
本研究引入了一种新的权衡方法,以增强在代谢学中的质谱/质谱 (MS/MS) 数据分析. 新方法改进了光谱相似性计算,以更好地识别化合物和结构注释.
科学领域:
- 代谢学 代谢学 代谢学
- 质谱测量质量谱测量
- 计算化学的计算化学
背景情况:
- 谱相似性计算对于MS/MS数据分析在非目标代谢学中至关重要.
- 准确的化合物识别和注释依赖于有效的光谱匹配.
- 以前的方法通过在高m/z范围内增加峰值强度来增强匹配.
研究的目的:
- 评估权重策略对识别结构相关化合物的影响,并进行光谱库搜索.
- 提出一种新的权重方法,考虑m/z值的频率和低峰强度.
- 与现有的方法比较拟议的权重方法.
主要方法:
- 应用权重预处理到修改的共弦值,值和忠实度距离度量.
- 将拟议的权重方法与之前报告的权重进行了比较.
- 在识别结构相似的化合物和注释未知的光谱方面评估性能.
主要成果:
- 基于权重的预处理有助于标注未知的光谱和识别结构相似的化合物.
- 拟议的方法结合了m/z频率和低峰强度,证明了更好的光谱匹配.
- 确定了特定的光谱特征,其中加权可能会对性能产生负面影响.
结论:
- 权重预处理是增强MS/MS光谱相似性计算在代谢学中的一个有价值的技术.
- 提出的频率意识和强度提升权重方法在化合物识别中提供了更好的准确性.
- 了解权重不利的局限性和特定光谱特征对于最佳应用至关重要.
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