Cargando…
QSAR-Based Virtual Screening of Natural Products Database for Identification of Potent Antimalarial Hits
With about 400,000 annual deaths worldwide, malaria remains a public health burden in tropical and subtropical areas, especially in low-income countries. Selection of drug-resistant Plasmodium strains has driven the need to explore novel antimalarial compounds with diverse modes of action. In this c...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003391/ https://www.ncbi.nlm.nih.gov/pubmed/33808643 http://dx.doi.org/10.3390/biom11030459 |
_version_ | 1783671678670209024 |
---|---|
author | Ferreira, Letícia Tiburcio Borba, Joyce V. B. Moreira-Filho, José Teófilo Rimoldi, Aline Andrade, Carolina Horta Costa, Fabio Trindade Maranhão |
author_facet | Ferreira, Letícia Tiburcio Borba, Joyce V. B. Moreira-Filho, José Teófilo Rimoldi, Aline Andrade, Carolina Horta Costa, Fabio Trindade Maranhão |
author_sort | Ferreira, Letícia Tiburcio |
collection | PubMed |
description | With about 400,000 annual deaths worldwide, malaria remains a public health burden in tropical and subtropical areas, especially in low-income countries. Selection of drug-resistant Plasmodium strains has driven the need to explore novel antimalarial compounds with diverse modes of action. In this context, biodiversity has been widely exploited as a resourceful channel of biologically active compounds, as exemplified by antimalarial drugs such as quinine and artemisinin, derived from natural products. Thus, combining a natural product library and quantitative structure–activity relationship (QSAR)-based virtual screening, we have prioritized genuine and derivative natural compounds with potential antimalarial activity prior to in vitro testing. Experimental validation against cultured chloroquine-sensitive and multi-drug-resistant P. falciparum strains confirmed the potent and selective activity of two sesquiterpene lactones (LDT-597 and LDT-598) identified in silico. Quantitative structure–property relationship (QSPR) models predicted absorption, distribution, metabolism, and excretion (ADME) and physiologically based pharmacokinetic (PBPK) parameters for the most promising compound, showing that it presents good physiologically based pharmacokinetic properties both in rats and humans. Altogether, the in vitro parasite growth inhibition results obtained from in silico screened compounds encourage the use of virtual screening campaigns for identification of promising natural compound-based antimalarial molecules. |
format | Online Article Text |
id | pubmed-8003391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80033912021-03-28 QSAR-Based Virtual Screening of Natural Products Database for Identification of Potent Antimalarial Hits Ferreira, Letícia Tiburcio Borba, Joyce V. B. Moreira-Filho, José Teófilo Rimoldi, Aline Andrade, Carolina Horta Costa, Fabio Trindade Maranhão Biomolecules Article With about 400,000 annual deaths worldwide, malaria remains a public health burden in tropical and subtropical areas, especially in low-income countries. Selection of drug-resistant Plasmodium strains has driven the need to explore novel antimalarial compounds with diverse modes of action. In this context, biodiversity has been widely exploited as a resourceful channel of biologically active compounds, as exemplified by antimalarial drugs such as quinine and artemisinin, derived from natural products. Thus, combining a natural product library and quantitative structure–activity relationship (QSAR)-based virtual screening, we have prioritized genuine and derivative natural compounds with potential antimalarial activity prior to in vitro testing. Experimental validation against cultured chloroquine-sensitive and multi-drug-resistant P. falciparum strains confirmed the potent and selective activity of two sesquiterpene lactones (LDT-597 and LDT-598) identified in silico. Quantitative structure–property relationship (QSPR) models predicted absorption, distribution, metabolism, and excretion (ADME) and physiologically based pharmacokinetic (PBPK) parameters for the most promising compound, showing that it presents good physiologically based pharmacokinetic properties both in rats and humans. Altogether, the in vitro parasite growth inhibition results obtained from in silico screened compounds encourage the use of virtual screening campaigns for identification of promising natural compound-based antimalarial molecules. MDPI 2021-03-19 /pmc/articles/PMC8003391/ /pubmed/33808643 http://dx.doi.org/10.3390/biom11030459 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 (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Ferreira, Letícia Tiburcio Borba, Joyce V. B. Moreira-Filho, José Teófilo Rimoldi, Aline Andrade, Carolina Horta Costa, Fabio Trindade Maranhão QSAR-Based Virtual Screening of Natural Products Database for Identification of Potent Antimalarial Hits |
title | QSAR-Based Virtual Screening of Natural Products Database for Identification of Potent Antimalarial Hits |
title_full | QSAR-Based Virtual Screening of Natural Products Database for Identification of Potent Antimalarial Hits |
title_fullStr | QSAR-Based Virtual Screening of Natural Products Database for Identification of Potent Antimalarial Hits |
title_full_unstemmed | QSAR-Based Virtual Screening of Natural Products Database for Identification of Potent Antimalarial Hits |
title_short | QSAR-Based Virtual Screening of Natural Products Database for Identification of Potent Antimalarial Hits |
title_sort | qsar-based virtual screening of natural products database for identification of potent antimalarial hits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003391/ https://www.ncbi.nlm.nih.gov/pubmed/33808643 http://dx.doi.org/10.3390/biom11030459 |
work_keys_str_mv | AT ferreiraleticiatiburcio qsarbasedvirtualscreeningofnaturalproductsdatabaseforidentificationofpotentantimalarialhits AT borbajoycevb qsarbasedvirtualscreeningofnaturalproductsdatabaseforidentificationofpotentantimalarialhits AT moreirafilhojoseteofilo qsarbasedvirtualscreeningofnaturalproductsdatabaseforidentificationofpotentantimalarialhits AT rimoldialine qsarbasedvirtualscreeningofnaturalproductsdatabaseforidentificationofpotentantimalarialhits AT andradecarolinahorta qsarbasedvirtualscreeningofnaturalproductsdatabaseforidentificationofpotentantimalarialhits AT costafabiotrindademaranhao qsarbasedvirtualscreeningofnaturalproductsdatabaseforidentificationofpotentantimalarialhits |