工作流程
工具箱
管道(软件)
模块化设计
化学
化学空间
集合(抽象数据类型)
计算机科学
数据集
药物发现
数据挖掘
数据库
人工智能
生物化学
操作系统
程序设计语言
作者
Youzhong Liu,Ying-Jie Zhang,Tom Vennekens,Jennifer L. Lippens,Luc Duijsens,Danh Bui-Thi,Kris Laukens,Thomas De Vijlder
标识
DOI:10.1021/acs.analchem.2c04343
摘要
Small molecule structure elucidation using tandem mass spectrometry (MS/MS) plays a crucial role in life science, bioanalytical, and pharmaceutical research. There is a pressing need for increased throughput of compound identification and transformation of historical data into information-rich spectral databases. Meanwhile, molecular networking, a recent bioinformatic framework, provides global displays and system-level understanding of complex LC-MS/MS data sets. Herein we present meRgeION, a multifunctional, modular, and flexible R-based toolbox to streamline spectral database building, automated structural elucidation, and molecular networking. The toolbox offers diverse tuning parameters and the possibility to combine various algorithms in the same pipeline. As an open-source R package, meRgeION is ideally suited for building spectral databases and molecular networks from privacy-sensitive and preliminary data. Using meRgeION, we have created an integrated spectral database covering diverse pharmaceutical compounds that was successfully applied to annotate drug-related metabolites from a published nontargeted metabolomics data set as well as reveal the chemical space behind this complex data set through molecular networking. Moreover, the meRgeION-based processing workflow has demonstrated the usefulness of a spectral library search and molecular networking for pharmaceutical forced degradation studies. meRgeION is freely available at: https://github.com/daniellyz/meRgeION2.
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