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Evolutionary prediction of medicinal properties in the genus Euphorbia L.

The current decrease of new drugs brought to the market has fostered renewed interest in plant-based drug discovery. Given the alarming rate of biodiversity loss, systematic methodologies in finding new plant-derived drugs are urgently needed. Medicinal uses of plants were proposed as proxy for bioa...

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Autores principales: Ernst, Madeleine, Saslis-Lagoudakis, C. Haris, Grace, Olwen M., Nilsson, Niclas, Simonsen, Henrik Toft, Horn, James W., Rønsted, Nina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4964329/
https://www.ncbi.nlm.nih.gov/pubmed/27464466
http://dx.doi.org/10.1038/srep30531
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author Ernst, Madeleine
Saslis-Lagoudakis, C. Haris
Grace, Olwen M.
Nilsson, Niclas
Simonsen, Henrik Toft
Horn, James W.
Rønsted, Nina
author_facet Ernst, Madeleine
Saslis-Lagoudakis, C. Haris
Grace, Olwen M.
Nilsson, Niclas
Simonsen, Henrik Toft
Horn, James W.
Rønsted, Nina
author_sort Ernst, Madeleine
collection PubMed
description The current decrease of new drugs brought to the market has fostered renewed interest in plant-based drug discovery. Given the alarming rate of biodiversity loss, systematic methodologies in finding new plant-derived drugs are urgently needed. Medicinal uses of plants were proposed as proxy for bioactivity, and phylogenetic patterns in medicinal plant uses have suggested that phylogeny can be used as predictive tool. However, the common practice of grouping medicinal plant uses into standardised categories may restrict the relevance of phylogenetic predictions. Standardised categories are mostly associated to systems of the human body and only poorly reflect biological responses to the treatment. Here we show that medicinal plant uses interpreted from a perspective of a biological response can reveal different phylogenetic patterns of presumed underlying bioactivity compared to standardised methods of medicinal plant use classification. In the cosmopolitan and pharmaceutically highly relevant genus Euphorbia L., identifying plant uses modulating the inflammatory response highlighted a greater phylogenetic diversity and number of potentially promising species than standardised categories. Our interpretation of medicinal plant uses may therefore allow for a more targeted approach for future phylogeny-guided drug discovery at an early screening stage, which will likely result in higher discovery rates of novel chemistry with functional biological activity.
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spelling pubmed-49643292016-08-08 Evolutionary prediction of medicinal properties in the genus Euphorbia L. Ernst, Madeleine Saslis-Lagoudakis, C. Haris Grace, Olwen M. Nilsson, Niclas Simonsen, Henrik Toft Horn, James W. Rønsted, Nina Sci Rep Article The current decrease of new drugs brought to the market has fostered renewed interest in plant-based drug discovery. Given the alarming rate of biodiversity loss, systematic methodologies in finding new plant-derived drugs are urgently needed. Medicinal uses of plants were proposed as proxy for bioactivity, and phylogenetic patterns in medicinal plant uses have suggested that phylogeny can be used as predictive tool. However, the common practice of grouping medicinal plant uses into standardised categories may restrict the relevance of phylogenetic predictions. Standardised categories are mostly associated to systems of the human body and only poorly reflect biological responses to the treatment. Here we show that medicinal plant uses interpreted from a perspective of a biological response can reveal different phylogenetic patterns of presumed underlying bioactivity compared to standardised methods of medicinal plant use classification. In the cosmopolitan and pharmaceutically highly relevant genus Euphorbia L., identifying plant uses modulating the inflammatory response highlighted a greater phylogenetic diversity and number of potentially promising species than standardised categories. Our interpretation of medicinal plant uses may therefore allow for a more targeted approach for future phylogeny-guided drug discovery at an early screening stage, which will likely result in higher discovery rates of novel chemistry with functional biological activity. Nature Publishing Group 2016-07-28 /pmc/articles/PMC4964329/ /pubmed/27464466 http://dx.doi.org/10.1038/srep30531 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Ernst, Madeleine
Saslis-Lagoudakis, C. Haris
Grace, Olwen M.
Nilsson, Niclas
Simonsen, Henrik Toft
Horn, James W.
Rønsted, Nina
Evolutionary prediction of medicinal properties in the genus Euphorbia L.
title Evolutionary prediction of medicinal properties in the genus Euphorbia L.
title_full Evolutionary prediction of medicinal properties in the genus Euphorbia L.
title_fullStr Evolutionary prediction of medicinal properties in the genus Euphorbia L.
title_full_unstemmed Evolutionary prediction of medicinal properties in the genus Euphorbia L.
title_short Evolutionary prediction of medicinal properties in the genus Euphorbia L.
title_sort evolutionary prediction of medicinal properties in the genus euphorbia l.
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4964329/
https://www.ncbi.nlm.nih.gov/pubmed/27464466
http://dx.doi.org/10.1038/srep30531
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