mineMS2:带有精确碎片化模式的光谱库的注释
Alexis Delabrière1, Coline Gianfrotta2,3, Sylvain Dechaumet4,5
1Université Paris-Saclay, CEA, List, Palaiseau, France. alexis.delabriere@hotmail.fr.
Journal of cheminformatics
|July 24, 2025
概括
这项研究引入了一种新的方法,用于识别使用双重质谱 (MS/MS) 碎片化模式的代谢物. 这种方法增强了结构阐明和在代谢学中发现未知的化合物的能力.
科学领域:
- 代谢学 代谢学 代谢学
- 计算化学的计算化学
- 生物信息学是一种生物信息学.
背景情况:
- 由于结构多样性,代谢物识别具有挑战性.
- 双重质谱 (MS/MS) 对于分子结构的表征至关重要.
- 高通量MS/MS仪器产生大量的数据集,需要高效的分析.
研究的目的:
- 通过在MS/MS频谱中寻找精确的碎片化模式来开发一种新的新策略来识别代谢物.
- 改进分子网络的结构解释和未知光谱的阐明.
- 提出一种新的方法来挖掘MS/MS数据并促进代谢物发现.
主要方法:
- 将MS/MS光谱表示为m/z差异的图形.
- 采用高效的频率子图挖掘算法来识别模式.
- 在公开可用的mineMS2软件包 (R) 中实施战略.
主要成果:
- 新的碎片化模式捕捉了现有方法错过的相似之处.
- 在光谱数据库和生物矩阵上证明有效.
- 促进了分子网络组件的结构解释和未知光谱的阐明.
结论:
- 拟议的战略为代谢物识别提供了一种强大的de novo方法.
- m/z差异的碎片化图提供了与现有方法相补充的有价值的见解.
- 矿山MS2软件能够有效地进行MS/MS数据挖掘,以进行结构性阐明.
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