Structure-based identification of a potential non-catalytic binding site for rational drug design in the fructose 1,6-biphosphate aldolase from Giardia lamblia

Abstract Giardia lamblia is the causal agent of giardiasis, one of the most prevalent parasitosis in the world. Even though effective pharmacotherapies against this parasite are available, the disadvantages associated with its use call for the development of new antigiardial compounds. Based on the...

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Autores principales: Sara-Teresa Méndez, Adriana Castillo-Villanueva, Karina Martínez-Mayorga, Horacio Reyes-Vivas, Jesús Oria-Hernández
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Publicado: Nature Portfolio 2019
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spelling oai:doaj.org-article:7f5569c165994478b63a3ec2d45fee532021-12-02T16:08:43ZStructure-based identification of a potential non-catalytic binding site for rational drug design in the fructose 1,6-biphosphate aldolase from Giardia lamblia10.1038/s41598-019-48192-32045-2322https://doaj.org/article/7f5569c165994478b63a3ec2d45fee532019-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-48192-3https://doaj.org/toc/2045-2322Abstract Giardia lamblia is the causal agent of giardiasis, one of the most prevalent parasitosis in the world. Even though effective pharmacotherapies against this parasite are available, the disadvantages associated with its use call for the development of new antigiardial compounds. Based on the Giardia dependence on glycolysis as a main energy source, glycolytic enzymes appear to be attractive targets with antiparasitic potential. Among these, fructose 1,6-biphosphate aldolase (GlFBPA) has been highlighted as a promising target for drug design. Current efforts are based on the design of competitive inhibitors of GlFBPA; however, in the kinetic context of metabolic pathways, competitive inhibitors seem to have low potential as therapeutic agents. In this work, we performed an experimental and in silico structure-based approach to propose a non-catalytic binding site which could be used as a hot spot for antigardial drug design. The druggability of the selected binding site was experimentally tested; the alteration of the selected region by site directed mutagenesis disturbs the catalytic properties and the stability of the enzyme. A computational automated search of binding sites supported the potential of this region as functionally relevant. A preliminary docking study was performed, in order to explore the feasibility and type of molecules to be able to accommodate in the proposed binding region. Altogether, the results validate the proposed region as a specific molecular binding site with pharmacological potential.Sara-Teresa MéndezAdriana Castillo-VillanuevaKarina Martínez-MayorgaHoracio Reyes-VivasJesús Oria-HernándezNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Sara-Teresa Méndez
Adriana Castillo-Villanueva
Karina Martínez-Mayorga
Horacio Reyes-Vivas
Jesús Oria-Hernández
Structure-based identification of a potential non-catalytic binding site for rational drug design in the fructose 1,6-biphosphate aldolase from Giardia lamblia
description Abstract Giardia lamblia is the causal agent of giardiasis, one of the most prevalent parasitosis in the world. Even though effective pharmacotherapies against this parasite are available, the disadvantages associated with its use call for the development of new antigiardial compounds. Based on the Giardia dependence on glycolysis as a main energy source, glycolytic enzymes appear to be attractive targets with antiparasitic potential. Among these, fructose 1,6-biphosphate aldolase (GlFBPA) has been highlighted as a promising target for drug design. Current efforts are based on the design of competitive inhibitors of GlFBPA; however, in the kinetic context of metabolic pathways, competitive inhibitors seem to have low potential as therapeutic agents. In this work, we performed an experimental and in silico structure-based approach to propose a non-catalytic binding site which could be used as a hot spot for antigardial drug design. The druggability of the selected binding site was experimentally tested; the alteration of the selected region by site directed mutagenesis disturbs the catalytic properties and the stability of the enzyme. A computational automated search of binding sites supported the potential of this region as functionally relevant. A preliminary docking study was performed, in order to explore the feasibility and type of molecules to be able to accommodate in the proposed binding region. Altogether, the results validate the proposed region as a specific molecular binding site with pharmacological potential.
format article
author Sara-Teresa Méndez
Adriana Castillo-Villanueva
Karina Martínez-Mayorga
Horacio Reyes-Vivas
Jesús Oria-Hernández
author_facet Sara-Teresa Méndez
Adriana Castillo-Villanueva
Karina Martínez-Mayorga
Horacio Reyes-Vivas
Jesús Oria-Hernández
author_sort Sara-Teresa Méndez
title Structure-based identification of a potential non-catalytic binding site for rational drug design in the fructose 1,6-biphosphate aldolase from Giardia lamblia
title_short Structure-based identification of a potential non-catalytic binding site for rational drug design in the fructose 1,6-biphosphate aldolase from Giardia lamblia
title_full Structure-based identification of a potential non-catalytic binding site for rational drug design in the fructose 1,6-biphosphate aldolase from Giardia lamblia
title_fullStr Structure-based identification of a potential non-catalytic binding site for rational drug design in the fructose 1,6-biphosphate aldolase from Giardia lamblia
title_full_unstemmed Structure-based identification of a potential non-catalytic binding site for rational drug design in the fructose 1,6-biphosphate aldolase from Giardia lamblia
title_sort structure-based identification of a potential non-catalytic binding site for rational drug design in the fructose 1,6-biphosphate aldolase from giardia lamblia
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/7f5569c165994478b63a3ec2d45fee53
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