高通量质谱图书馆 通过NIST MSPepSearch在R中搜索小分子
Andrey Samokhin1,2, Mikhail Khrisanfov1,2
1Chemistry Department, Lomonosov Moscow State University, Moscow 119991, Russia.
Journal of the American Society for Mass Spectrometry
|November 25, 2025
概括
我们开发了mspepsearchr,这是用于质谱数据分析的R包. 它简化了将NIST库搜索集成到复杂的工作流中,提高了识别类固醇等化合物的效率.
科学领域:
- 生物化学 生化学
- 计算化学的计算化学
- 分析化学 分析化学
背景情况:
- 像R和Python这样的高级编程语言对于质谱 (MS) 数据处理至关重要.
- NIST MS 搜索算法主要用于图书馆搜索,但使用专有格式.
- 像MSPepSearch这样的现有工具提供了灵活性,但需要复杂的命令行交互.
研究的目的:
- 开发一个R包,mspepsearchr,用于简化整合NIST格式的质谱图书馆搜索.
- 克服专有数据库格式和繁的命令行接口的局限性.
- 为了促进图书馆搜索的自动化和整合到复杂的分析工作流中.
主要方法:
- 开发了R包mspepsearchr以与MSPepSearch进行接口.
- 通过从R运行多个MSPepSearch实例来实现外部并行.
- 评估了包装的性能和实用性,用于分析非定位气色谱-质谱 (GC-MS) 数据.
主要成果:
- mspepsearchr成功地将MSPepSearch集成到R工作流中,简化了图书馆的搜索.
- 通过多个R实例进行外部并行处理可以提高处理效率.
- 该包装在生物样本中识别类固醇类化合物的实用性得到证明.
结论:
- mspepsearchr提供了一个用户友好的解决方案,用于在R.中利用NIST MS库搜索算法.
- 该包增强了质谱数据分析的自动化能力.
- 这个工具有助于识别化合物,如类固醇,在复杂的生物矩阵使用GC-MS.
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