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Not Drug-like, but Like Drugs: Cnidaria Natural Products

Phylum Cnidaria has been an excellent source of natural products, with thousands of metabolites identified. Many of these have not been screened in bioassays. The aim of this study was to explore the potential of 5600 Cnidaria natural products (after excluding those known to derive from microbial sy...

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Autores principales: Laguionie-Marchais, Claire, Allcock, A. Louise, Baker, Bill J., Conneely, Ellie-Ann, Dietrick, Sarah G., Kearns, Fiona, McKeever, Kate, Young, Ryan M., Sierra, Connor A., Soldatou, Sylvia, Woodcock, H. Lee, Johnson, Mark P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779300/
https://www.ncbi.nlm.nih.gov/pubmed/35049897
http://dx.doi.org/10.3390/md20010042
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author Laguionie-Marchais, Claire
Allcock, A. Louise
Baker, Bill J.
Conneely, Ellie-Ann
Dietrick, Sarah G.
Kearns, Fiona
McKeever, Kate
Young, Ryan M.
Sierra, Connor A.
Soldatou, Sylvia
Woodcock, H. Lee
Johnson, Mark P.
author_facet Laguionie-Marchais, Claire
Allcock, A. Louise
Baker, Bill J.
Conneely, Ellie-Ann
Dietrick, Sarah G.
Kearns, Fiona
McKeever, Kate
Young, Ryan M.
Sierra, Connor A.
Soldatou, Sylvia
Woodcock, H. Lee
Johnson, Mark P.
author_sort Laguionie-Marchais, Claire
collection PubMed
description Phylum Cnidaria has been an excellent source of natural products, with thousands of metabolites identified. Many of these have not been screened in bioassays. The aim of this study was to explore the potential of 5600 Cnidaria natural products (after excluding those known to derive from microbial symbionts), using a systematic approach based on chemical space, drug-likeness, predicted toxicity, and virtual screens. Previous drug-likeness measures: the rule-of-five, quantitative estimate of drug-likeness (QED), and relative drug likelihoods (RDL) are based on a relatively small number of molecular properties. We augmented this approach using reference drug and toxin data sets defined for 51 predicted molecular properties. Cnidaria natural products overlap with drugs and toxins in this chemical space, although a multivariate test suggests that there are some differences between the groups. In terms of the established drug-likeness measures, Cnidaria natural products have generally lower QED and RDL scores than drugs, with a higher prevalence of metabolites that exceed at least one rule-of-five threshold. An index of drug-likeness that includes predicted toxicity (ADMET-score), however, found that Cnidaria natural products were more favourable than drugs. A measure of the distance of individual Cnidaria natural products to the centre of the drug distribution in multivariate chemical space was related to RDL, ADMET-score, and the number of rule-of-five exceptions. This multivariate similarity measure was negatively correlated with the QED score for the same metabolite, suggesting that the different approaches capture different aspects of the drug-likeness of individual metabolites. The contrasting of different drug similarity measures can help summarise the range of drug potential in the Cnidaria natural product data set. The most favourable metabolites were around 210–265 Da, quite often sesquiterpenes, with a moderate degree of complexity. Virtual screening against cancer-relevant targets found wide evidence of affinities, with Glide scores <−7 in 19% of the Cnidaria natural products.
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spelling pubmed-87793002022-01-22 Not Drug-like, but Like Drugs: Cnidaria Natural Products Laguionie-Marchais, Claire Allcock, A. Louise Baker, Bill J. Conneely, Ellie-Ann Dietrick, Sarah G. Kearns, Fiona McKeever, Kate Young, Ryan M. Sierra, Connor A. Soldatou, Sylvia Woodcock, H. Lee Johnson, Mark P. Mar Drugs Article Phylum Cnidaria has been an excellent source of natural products, with thousands of metabolites identified. Many of these have not been screened in bioassays. The aim of this study was to explore the potential of 5600 Cnidaria natural products (after excluding those known to derive from microbial symbionts), using a systematic approach based on chemical space, drug-likeness, predicted toxicity, and virtual screens. Previous drug-likeness measures: the rule-of-five, quantitative estimate of drug-likeness (QED), and relative drug likelihoods (RDL) are based on a relatively small number of molecular properties. We augmented this approach using reference drug and toxin data sets defined for 51 predicted molecular properties. Cnidaria natural products overlap with drugs and toxins in this chemical space, although a multivariate test suggests that there are some differences between the groups. In terms of the established drug-likeness measures, Cnidaria natural products have generally lower QED and RDL scores than drugs, with a higher prevalence of metabolites that exceed at least one rule-of-five threshold. An index of drug-likeness that includes predicted toxicity (ADMET-score), however, found that Cnidaria natural products were more favourable than drugs. A measure of the distance of individual Cnidaria natural products to the centre of the drug distribution in multivariate chemical space was related to RDL, ADMET-score, and the number of rule-of-five exceptions. This multivariate similarity measure was negatively correlated with the QED score for the same metabolite, suggesting that the different approaches capture different aspects of the drug-likeness of individual metabolites. The contrasting of different drug similarity measures can help summarise the range of drug potential in the Cnidaria natural product data set. The most favourable metabolites were around 210–265 Da, quite often sesquiterpenes, with a moderate degree of complexity. Virtual screening against cancer-relevant targets found wide evidence of affinities, with Glide scores <−7 in 19% of the Cnidaria natural products. MDPI 2021-12-30 /pmc/articles/PMC8779300/ /pubmed/35049897 http://dx.doi.org/10.3390/md20010042 Text en © 2021 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 Article
Laguionie-Marchais, Claire
Allcock, A. Louise
Baker, Bill J.
Conneely, Ellie-Ann
Dietrick, Sarah G.
Kearns, Fiona
McKeever, Kate
Young, Ryan M.
Sierra, Connor A.
Soldatou, Sylvia
Woodcock, H. Lee
Johnson, Mark P.
Not Drug-like, but Like Drugs: Cnidaria Natural Products
title Not Drug-like, but Like Drugs: Cnidaria Natural Products
title_full Not Drug-like, but Like Drugs: Cnidaria Natural Products
title_fullStr Not Drug-like, but Like Drugs: Cnidaria Natural Products
title_full_unstemmed Not Drug-like, but Like Drugs: Cnidaria Natural Products
title_short Not Drug-like, but Like Drugs: Cnidaria Natural Products
title_sort not drug-like, but like drugs: cnidaria natural products
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779300/
https://www.ncbi.nlm.nih.gov/pubmed/35049897
http://dx.doi.org/10.3390/md20010042
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