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Leveraging off higher plant phylogenetic insights for antiplasmodial drug discovery

The antimalarial drug-resistance conundrum which threatens to reverse the great strides taken to curb the malaria scourge warrants an urgent need to find novel chemical scaffolds to serve as templates for the development of new antimalarial drugs. Plants represent a viable alternative source for the...

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Autores principales: Moyo, Phanankosi, Invernizzi, Luke, Mianda, Sephora M., Rudolph, Wiehan, Andayi, Warren A., Wang, Mingxun, Crouch, Neil R., Maharaj, Vinesh J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555984/
https://www.ncbi.nlm.nih.gov/pubmed/37798547
http://dx.doi.org/10.1007/s13659-023-00396-x
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author Moyo, Phanankosi
Invernizzi, Luke
Mianda, Sephora M.
Rudolph, Wiehan
Andayi, Warren A.
Wang, Mingxun
Crouch, Neil R.
Maharaj, Vinesh J.
author_facet Moyo, Phanankosi
Invernizzi, Luke
Mianda, Sephora M.
Rudolph, Wiehan
Andayi, Warren A.
Wang, Mingxun
Crouch, Neil R.
Maharaj, Vinesh J.
author_sort Moyo, Phanankosi
collection PubMed
description The antimalarial drug-resistance conundrum which threatens to reverse the great strides taken to curb the malaria scourge warrants an urgent need to find novel chemical scaffolds to serve as templates for the development of new antimalarial drugs. Plants represent a viable alternative source for the discovery of unique potential antiplasmodial chemical scaffolds. To expedite the discovery of new antiplasmodial compounds from plants, the aim of this study was to use phylogenetic analysis to identify higher plant orders and families that can be rationally prioritised for antimalarial drug discovery. We queried the PubMed database for publications documenting antiplasmodial properties of natural compounds isolated from higher plants. Thereafter, we manually collated compounds reported along with plant species of origin and relevant pharmacological data. We systematically assigned antiplasmodial-associated plant species into recognised families and orders, and then computed the resistance index, selectivity index and physicochemical properties of the compounds from each taxonomic group. Correlating the generated phylogenetic trees and the biological data of each clade allowed for the identification of 3 ‘hot’ plant orders and families. The top 3 ranked plant orders were the (i) Caryophyllales, (ii) Buxales, and (iii) Chloranthales. The top 3 ranked plant families were the (i) Ancistrocladaceae, (ii) Simaroubaceae, and (iii) Buxaceae. The highly active natural compounds (IC(50) ≤ 1 µM) isolated from these plant orders and families are structurally unique to the ‘legacy’ antimalarial drugs. Our study was able to identify the most prolific taxa at order and family rank that we propose be prioritised in the search for potent, safe and drug-like antimalarial molecules.
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spelling pubmed-105559842023-10-07 Leveraging off higher plant phylogenetic insights for antiplasmodial drug discovery Moyo, Phanankosi Invernizzi, Luke Mianda, Sephora M. Rudolph, Wiehan Andayi, Warren A. Wang, Mingxun Crouch, Neil R. Maharaj, Vinesh J. Nat Prod Bioprospect Original Article The antimalarial drug-resistance conundrum which threatens to reverse the great strides taken to curb the malaria scourge warrants an urgent need to find novel chemical scaffolds to serve as templates for the development of new antimalarial drugs. Plants represent a viable alternative source for the discovery of unique potential antiplasmodial chemical scaffolds. To expedite the discovery of new antiplasmodial compounds from plants, the aim of this study was to use phylogenetic analysis to identify higher plant orders and families that can be rationally prioritised for antimalarial drug discovery. We queried the PubMed database for publications documenting antiplasmodial properties of natural compounds isolated from higher plants. Thereafter, we manually collated compounds reported along with plant species of origin and relevant pharmacological data. We systematically assigned antiplasmodial-associated plant species into recognised families and orders, and then computed the resistance index, selectivity index and physicochemical properties of the compounds from each taxonomic group. Correlating the generated phylogenetic trees and the biological data of each clade allowed for the identification of 3 ‘hot’ plant orders and families. The top 3 ranked plant orders were the (i) Caryophyllales, (ii) Buxales, and (iii) Chloranthales. The top 3 ranked plant families were the (i) Ancistrocladaceae, (ii) Simaroubaceae, and (iii) Buxaceae. The highly active natural compounds (IC(50) ≤ 1 µM) isolated from these plant orders and families are structurally unique to the ‘legacy’ antimalarial drugs. Our study was able to identify the most prolific taxa at order and family rank that we propose be prioritised in the search for potent, safe and drug-like antimalarial molecules. Springer Nature Singapore 2023-10-05 /pmc/articles/PMC10555984/ /pubmed/37798547 http://dx.doi.org/10.1007/s13659-023-00396-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Moyo, Phanankosi
Invernizzi, Luke
Mianda, Sephora M.
Rudolph, Wiehan
Andayi, Warren A.
Wang, Mingxun
Crouch, Neil R.
Maharaj, Vinesh J.
Leveraging off higher plant phylogenetic insights for antiplasmodial drug discovery
title Leveraging off higher plant phylogenetic insights for antiplasmodial drug discovery
title_full Leveraging off higher plant phylogenetic insights for antiplasmodial drug discovery
title_fullStr Leveraging off higher plant phylogenetic insights for antiplasmodial drug discovery
title_full_unstemmed Leveraging off higher plant phylogenetic insights for antiplasmodial drug discovery
title_short Leveraging off higher plant phylogenetic insights for antiplasmodial drug discovery
title_sort leveraging off higher plant phylogenetic insights for antiplasmodial drug discovery
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555984/
https://www.ncbi.nlm.nih.gov/pubmed/37798547
http://dx.doi.org/10.1007/s13659-023-00396-x
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