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Identification of Plant-Derived Bioactive Compounds Using Affinity Mass Spectrometry and Molecular Networking
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 compo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504387/ https://www.ncbi.nlm.nih.gov/pubmed/36144267 http://dx.doi.org/10.3390/metabo12090863 |
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author | Ramatapa, Thabo Msobo, Anathi Maphari, Pfano W. Ncube, Efficient N. Nogemane, Noluyolo Mhlongo, Msizi I. |
author_facet | Ramatapa, Thabo Msobo, Anathi Maphari, Pfano W. Ncube, Efficient N. Nogemane, Noluyolo Mhlongo, Msizi I. |
author_sort | Ramatapa, Thabo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9504387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95043872022-09-24 Identification of Plant-Derived Bioactive Compounds Using Affinity Mass Spectrometry and Molecular Networking Ramatapa, Thabo Msobo, Anathi Maphari, Pfano W. Ncube, Efficient N. Nogemane, Noluyolo Mhlongo, Msizi I. Metabolites Review 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. MDPI 2022-09-14 /pmc/articles/PMC9504387/ /pubmed/36144267 http://dx.doi.org/10.3390/metabo12090863 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Ramatapa, Thabo Msobo, Anathi Maphari, Pfano W. Ncube, Efficient N. Nogemane, Noluyolo Mhlongo, Msizi I. Identification of Plant-Derived Bioactive Compounds Using Affinity Mass Spectrometry and Molecular Networking |
title | Identification of Plant-Derived Bioactive Compounds Using Affinity Mass Spectrometry and Molecular Networking |
title_full | Identification of Plant-Derived Bioactive Compounds Using Affinity Mass Spectrometry and Molecular Networking |
title_fullStr | Identification of Plant-Derived Bioactive Compounds Using Affinity Mass Spectrometry and Molecular Networking |
title_full_unstemmed | Identification of Plant-Derived Bioactive Compounds Using Affinity Mass Spectrometry and Molecular Networking |
title_short | Identification of Plant-Derived Bioactive Compounds Using Affinity Mass Spectrometry and Molecular Networking |
title_sort | identification of plant-derived bioactive compounds using affinity mass spectrometry and molecular networking |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504387/ https://www.ncbi.nlm.nih.gov/pubmed/36144267 http://dx.doi.org/10.3390/metabo12090863 |
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