Identification of Plant-Derived Bioactive Compounds Using Affinity Mass Spectrometry and Molecular Networking

Thabo Ramatapa, Anathi Msobo, Pfano W. Maphari, Efficient N. Ncube, Noluyolo Nogemane, Msizi I. Mhlongo

Research output: Contribution to journalReview articlepeer-review

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number863
JournalMetabolites
Volume12
Issue number9
DOIs
Publication statusPublished - Sept 2022

Keywords

  • affinity selection-mass spectrometry
  • drug discovery
  • high-throughput screening
  • ligands
  • natural products
  • secondary metabolites
  • virtual screening

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Molecular Biology

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