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Autochthonous Peruvian Natural Plants as Potential SARS-CoV-2 Mpro Main Protease Inhibitors

Authors: Maria Nuria Peralta-Moreno; Vanessa Anton-Muñoz; David Ortega-Alarcon; Ana Jimenez-Alesanco; Sonia Vega; Olga Abian; Adrian Velazquez-Campoy; +4 Authors

Autochthonous Peruvian Natural Plants as Potential SARS-CoV-2 Mpro Main Protease Inhibitors

Abstract

Over 750 million cases of COVID-19, caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), have been reported since the onset of the global outbreak. The need for effective treatments has spurred intensive research for therapeutic agents based on pharmaceutical repositioning or natural products. In light of prior studies asserting the bioactivity of natural compounds of the autochthonous Peruvian flora, the present study focuses on the identification SARS-CoV-2 Mpro main protease dimer inhibitors. To this end, a target-based virtual screening was performed over a representative set of Peruvian flora-derived natural compounds. The best poses obtained from the ensemble molecular docking process were selected. These structures were subjected to extensive molecular dynamics steps for the computation of binding free energies along the trajectory and evaluation of the stability of the complexes. The compounds exhibiting the best free energy behaviors were selected for in vitro testing, confirming the inhibitory activity of Hyperoside against Mpro, with a Ki value lower than 20 µM, presumably through allosteric modulation.

Countries
Peru, Spain
Keywords

570, drug design, 610, Regulación Alostérica, Molecular dynamics, allosteric inhibition, Plantas, Peruvian natural plants, Drug design, Article, Simulación del Acoplamiento Molecular, Docking, Perú, SARS-CoV-2 main protease, Pharmacy and materia medica, Allosteric inhibition, Diseño de Fármacos, Dinàmica molecular, MM-PB/GBSA approach, Disseny de medicaments, SARS-CoV-2, R, Hyperoside, molecular dynamics, Simulación de Dinámica Molecular, RS1-441, docking, Medicine

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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