Identification of Plant-Derived Bioactive Compounds Using Affinity Mass Spectrometry and Molecular Networking.
Thabo RamatapaAnathi MsoboPfano W MaphariEfficient N NcubeNoluyolo NogemaneMsizi I MhlongoPublished in: Metabolites (2022)
Affinity selection-mass spectrometry (AS-MS) is a label-free binding assay system that uses UHPLC-MS size-based separation methods to separate target-compound complexes from unbound compounds, identify bound compounds, classify compound binding sites, quantify the dissociation rate constant of compounds, and characterize affinity-extracted ligands. This label-free binding assay, in contrast to conventional biochemical (i.e., high-throughput screening (HTS)) approaches, is applicable to any drug target, and is also concise, accurate, and adaptable. Although AS-MS is an innovative approach for identifying lead compounds, the possibilities of finding bioactive compounds are limited by competitive binding, which occurs during the equilibration of extracts with the target protein(s). Here, we discuss the potential for metabolite profiling complemented with molecular networking to be used alongside AS-MS to improve the identification of bioactive compounds in plant extracts. AS-MS has gained significant prominence in HTS labs and shows potential to emerge as the driving force behind novel drug development in the future.
Keyphrases
- mass spectrometry
- label free
- liquid chromatography
- capillary electrophoresis
- ms ms
- gas chromatography
- multiple sclerosis
- high resolution
- high performance liquid chromatography
- high resolution mass spectrometry
- tandem mass spectrometry
- binding protein
- simultaneous determination
- high throughput
- ultra high performance liquid chromatography
- single molecule
- magnetic resonance
- computed tomography
- magnetic resonance imaging
- emergency department
- protein protein
- current status
- amino acid
- contrast enhanced
- electronic health record