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Mass spectral database-based methodologies for the annotation and discovery of natural products

摘要Natural products(NPs)have long held a significant position in various fields such as medi-cine,food,agriculture,and materials.The chemical space covered by NPs is extensive but of-ten underexplored.Therefore,high-throughput and efficient methodologies for the annota-tion and discovery of NPs are desired to address the complexity and diversity of NP-based systems.Mass spectrometry(MS)has emerged as a powerful platform for the annotation and discovery of NPs.MS databases provide vital support for the structural characterization of NPs by integrating extensive mass spectral data and sample information.Additionally,the re-leased annotation methodologies,based on a variety of informatics tools,continuously im-prove the ability to annotate the structure and properties of compounds.This review exam-ines the current mainstream databases and annotation methodologies,focusing on their ad-vantages and limitations.Prospects for future technological advancements are then discussed in terms of novel applications and research objectives.Through a systematic overview,this review aims to provide valuable insights and a reference for MS-based NPs annotation,thereby promoting the discovery of novel natural entities.

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作者 Fengyao Yang [1] Zeyuan Liang [1] Haoran Zhao [1] Jiayi Zheng [1] Lifang Liu [1] Huipeng Song [2] Guizhong Xin [1] 学术成果认领
作者单位 State Key Laboratory of Natural Medicines,Department of Chinese Medicines Analysis,School of Traditional Chinese Pharmacy,China Pharmaceutical University,Nanjing 210009,China [1] College of Pharmacy,Liaoning University of Traditional Chinese Medicine,Dalian 116600,China [2]
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DOI 10.1016/S1875-5364(25)60852-1
发布时间 2025-05-09(万方平台首次上网日期,不代表论文的发表时间)
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中国天然药物

中国天然药物

2025年23卷4期

410-420页

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