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Dataset Information

Interaction Metabolomics to Discover Synergists in Natural Product Mixtures.


ABSTRACT: Mass spectrometry metabolomics has become increasingly popular as an integral aspect of studies to identify active compounds from natural product mixtures. Classical metabolomics data analysis approaches do not consider the possibility that interactions (such as synergy) could occur between mixture components. With this study, we developed "interaction metabolomics" to overcome this limitation. The innovation of interaction metabolomics is the inclusion of compound interaction terms (CITs), which are calculated as the product of the intensities of each pair of features (detected ions) in the data matrix. Herein, we tested the utility of interaction metabolomics by spiking known concentrations of an antimicrobial compound (berberine) and a synergist (piperine) into a set of inactive matrice

SUBMITTER: Vidar WS 

PROVIDER: S-EPMC10152448 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature