ArticleScientific data2022
Mass spectrometry data on specialized metabolome of medicinal plants used in East Asian traditional medicine.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- Exploring the global mosaic of medicinal plant databases: unveiling nature's pharmacopoeia.Natural products and bioprospecting · 2026Review
- CDMMM: a comprehensive platform of traditional Indian medicinal plant DNA barcodes and metabolite fingerprints database.Scientific reports · 2026Article
- A chromosome level genome, as well as transcriptomes and metabolomes, insights into genome evolution and the biosynthesis of kaempferol and kaempferol derivatives inFrontiers in plant science · 2026Article
- Mass Spectral Data of Primary and Secondary Metabolites Changes in Medicinal Plants by Solvent Polarity.Scientific data · 2025Article
- Research Progress of Genomics Applications in Secondary Metabolites of Medicinal Plants: A Case Study in Safflower.International journal of molecular sciences · 2025Review
- Defining the limits of plant chemical space: challenges and estimations.GigaScience · 2025Article
- Plant stress and proteomics in medicinal plants.Frontiers in plant science · 2025Review
- A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery.ACS central science · 2024Article
- Open access repository-scale propagated nearest neighbor suspect spectral library for untargeted metabolomics.Nature communications · 2023Article
- A Mass Spectrometry Database for Sea Cucumber Triterpene Glycosides.Metabolites · 2023Article
- Small molecule metabolites: discovery of biomarkers and therapeutic targets.Signal transduction and targeted therapy · 2023Review
- Creation of a Plant Metabolite Spectral Library for Untargeted and Targeted Metabolomics.International journal of molecular sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.