C-TAC UMR CNRS 8638 COMETE, Faculté de Pharmacie de Paris, Université Paris Descartes, Paris, France.
Bioinformatics. 2019 May 15;35(10):1795-1796. doi: 10.1093/bioinformatics/bty864.
The annotation of natural products and more generally small molecules is one of the major drawbacks in untargeted mass spectrometry analysis. Molecular networking has emerged as a structured way to organize and mine data from untargeted tandem mass spectrometry (MS/MS) experiments. Despite the great potential of this tool, the annotation is usually performed manually by the expert as only few spectral libraries are available.
Herein we propose a web server of in silico metabolization of metabolites that represents a full implementation of the metabolome consistency concept. The workflow is based on MS/MS data, organized in molecular network using the Global Natural Products Social Molecular Networking (GNPS) platform, a collaborative library of reactions and a MS/MS spectra prediction module. Having one node identified in the molecular network, the server generates putative structures and predict the associated MS/MS spectra when the exact mass is detected in the network. A similarity comparison between the MS/MS spectra is then performed in order to annotate the node.
The web server is available at: https://metwork.pharmacie.parisdescartes.fr.
天然产物的注释,更广泛地说,小分子的注释,是无目标质谱分析的主要缺点之一。分子网络已经成为一种组织和挖掘无目标串联质谱(MS/MS)实验数据的结构化方法。尽管该工具具有巨大的潜力,但注释通常由专家手动完成,因为可用的光谱库很少。
本文提出了一个代谢物的计算机代谢物的网络服务器,它代表了代谢组一致性概念的完整实现。该工作流程基于 MS/MS 数据,使用 Global Natural Products Social Molecular Networking (GNPS) 平台组织成分子网络,这是一个反应库和 MS/MS 光谱预测模块的协作库。在分子网络中识别出一个节点后,当网络中检测到精确质量时,服务器会生成可能的结构并预测相关的 MS/MS 光谱。然后对 MS/MS 光谱进行相似性比较,以注释节点。
该网络服务器可在以下网址获得:https://metwork.pharmacie.parisdescartes.fr。