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  • 标题:Mass spectrometry data on specialized metabolome of medicinal plants used in East Asian traditional medicine
  • 本地全文:下载
  • 作者:Kyo Bin Kang ; Eunah Jeong ; Seungju Son
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-7
  • DOI:10.1038/s41597-022-01662-2
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:traditional East asian medicine not only serves as a potential source of drug discovery, but also plays an important role in the healthcare systems of Korea, China, and Japan. tandem mass spectrometry (MS/MS)-based untargeted metabolomics is a key methodology for high-throughput analysis of the complex chemical compositions of medicinal plants used in traditional East asian medicine. this Data Descriptor documents the deposition to a public repository of a re-analyzable raw LC-MS/MS dataset of 337 medicinal plants listed in the Korean Pharmacopeia, in addition to a reference spectral library of 223 phytochemicals isolated from medicinal plants . Enhanced by recently developed repository-level data analysis pipelines, this information can serve as a reference dataset for MS/MS-based untargeted metabolomic analysis of plant specialized metabolites.
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