Mass spectrometry data on specialized metabolome of medicinal plants used in East Asian traditional medicine
Kyo Bin Kang, Eunah Jeong, Seungju Son, Eun‐Jin Lee, Seungjin Lee, Seong Yeon Choi, Hyun Woo Kim, Heejung Yang, Sang Hee Shim
Abstract
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.