Computed Quantum Chemical Modeling of the Effect of Nanosilver on Coronavirus COVID-1

Abstract

This article presents an analysis of available scientific data on the morphology and nanostructure of the COVID-19 coronavirus. Possible mechanisms of influence of nanosilver particles on the coronavirus are considered. Models of nanosilver complexes with spike protein of coronavirus amino acids were constructed using computer quantum-chemical modeling. The values of electron density distribution, highest occupied molecular orbital, lowest unoccupied molecular orbital, and electron density distribution gradient for each constructed model are obtained. As a result of quantum chemical modeling, it was found that silver nanoparticles can interact with the following amino acids: Proline, glutamine, lysine, arginine, asparagine, histidine, glutamic and aspartic acids, tryptophan, and cysteine, which is due to the presence of additional -NH2, -NH, -SH and -COOH groups in these amino acids that are not involved in the formation of a peptide bond. The freedom of additional groups makes it possible to interact with nanosilver. Analysis of the obtained data showed that the most energy-efficient interaction is the formation of the "tryptophan-nanosilver" complex (E= -5856.83 kcal/mol). Based on the findings of quantum chemical calculations, the most stable complex is the "cysteine-nanosilver" (ΔE = 0.16 a.u).

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