Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU, 1211, Geneva, Switzerland.
School of Pharmaceutical Sciences, University of Geneva, CMU, 1211, Geneva, Switzerland.
Sci Data. 2024 Apr 22;11(1):415. doi: 10.1038/s41597-024-03094-6.
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.
天然产物具有有趣的结构特征和显著的生物活性。发现新的生物活性分子是一个复杂的过程,需要高质量的代谢物谱数据来正确地定位目标化合物的分离,并能够对其进行完整的结构表征。同样的代谢物谱数据也可用于更好地了解物种间的化学分类学联系。本数据描述符详细介绍了通过非靶向液相色谱-质谱代谢物谱分析 76 种卫矛科天然提取物得到的数据集。本文共享了光谱注释结果以及相关的化学和分类学元数据,并提出了数据再利用的示例。研究人员可以进一步研究这些数据,以探索天然产物的化学多样性。该数据集可作为对这个化学物质丰富的植物科进行深入代谢组学研究的参考样本集。