Mass Spectrometry Data on Specialized Metabolome of Medicinal Plants Used in East Asian Traditional Medicine

Overview

Journal Sci Data

Specialty Science

Date 2022 Aug 27

PMID 36030263

Authors

Kyo Bin Kang

Eunah Jeong

Seungju Son

Eunjin Lee

Seungjin Lee

Seong Yeon Choi

Hyun Woo Kim

Heejung Yang

Sang Hee Shim

Affiliations

Soon will be listed here.

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.

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