In silico evaluation of flavonoids as potential inhibitors of SARS-CoV-2 main nonstructural proteins (Nsps)—amentoflavone as a multitarget candidate

Andrés Portilla-Martínez, Miguel Ortiz-Flores, Isabel Hidalgo, Cristian Gonzalez-Ruiz, Eduardo Meaney, Guillermo Ceballos, Nayelli Nájera

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

2 Citas (Scopus)

Resumen

Despite the development of vaccines against COVID-19 disease and the multiple efforts to find efficient drugs as treatment for this virus, there are too many social, political, economic, and health inconveniences to incorporate a fully accessible plan of prevention and therapy against SARS-CoV-2. In this sense, it is necessary to find nutraceutical/pharmaceutical drugs as possible COVID-19 preventives/treatments. Based on their beneficial effects, flavonoids are one of the most promising compounds. Therefore, using virtual screening, 478 flavonoids obtained from the KEGG database were evaluated against non-structural proteins Nsp1, Nsp3, Nsp5, Nsp12, and Nsp15, which are essential for the virus-host cell infection, searching for possible multitarget flavonoids. Amentoflavone, a biflavonoid found mainly in Ginkgo biloba, Lobelia chinensis, and Byrsonima intermedia, can interact and bind with the five proteins, suggesting its potential as a multitarget inhibitor. Molecular docking calculations and structural analysis (RMSD, number of H bonds, and clustering) performed from molecular dynamics simulations of the amentoflavone-protein complex support this potential. The results shown here are theoretical evidence of the probable multitarget inhibition of non-structural proteins of SARS-CoV-2 by amentoflavone, which has wide availability, low cost, no side effects, and long history of use. These results are solid evidence for future in vitro and in vivo experiments aiming to validate amentoflavone as an inhibitor of the Nsp1, 3, 5, 12, and 15 of SARS-CoV-2. Graphical Abstract: [Figure not available: see fulltext.]

Idioma originalInglés
Número de artículo404
PublicaciónJournal of Molecular Modeling
Volumen28
N.º12
DOI
EstadoPublicada - dic. 2022

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