Natural products exhibit interesting structural features and significant biological activities. The discovery of new bioactive molecules is a complex process that requires high-quality metabolite profiling data to properly target the isolation of compounds of interest and enable their complete structural characterization. The same metabolite profiling data can also be used to better understand chemotaxonomic links between species. This Data Descriptor details a dataset resulting from the untargeted liquid chromatography-mass spectrometry metabolite profiling of 76 natural extracts of the Celastraceae family. The spectral annotation results and related chemical and taxonomic metadata are shared, along with proposed examples of data reuse. This data can be further studied by researchers exploring the chemical diversity of natural products. This can serve as a reference sample set for deep metabolome investigation of this chemically rich plant family.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11035674PMC
http://dx.doi.org/10.1038/s41597-024-03094-6DOI Listing

Publication Analysis

Top Keywords

metabolite profiling
12
celastraceae family
8
natural products
8
profiling data
8
data
5
comprehensive mass
4
mass spectrometric
4
spectrometric metabolomic
4
profiling
4
metabolomic profiling
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!