2020
DOI: 10.26434/chemrxiv.12100968.v3
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Interaction of drugs candidates with various SARS-CoV-2 receptors: an in silico study to combat COVID-19

Abstract: The world is currently facing the COVID-19 pandemic caused by the SARS-CoV-2 virus. The pandemic is causing the death of people around the world, and public and social health measures to

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Cited by 2 publications
(3 citation statements)
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“…It is possible to establish a relationship between a molecular docking study carried out by Barros et al [ 49 ], which was relevant when investigating the interaction activity of 24 ligands (based on commercialised drugs), and four SARS-CoV-2 receptors, presenting a M pro with a stable ΔGbind when coupled with the drugs Pemirolast (−5.8 kcal mol −1 ), Benserazide (−4.9 kcal mol −1 ) and Luteolin (−6.1 kcal mol −1 ). The results presented are as important as those of the aforementioned study, since the energy of interaction of the imidazolic alkaloids EPR, EPS, IPS and PS of Jaborandi with M pro ( Table 3 ) were very favourable to the receptor–ligand interaction.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…It is possible to establish a relationship between a molecular docking study carried out by Barros et al [ 49 ], which was relevant when investigating the interaction activity of 24 ligands (based on commercialised drugs), and four SARS-CoV-2 receptors, presenting a M pro with a stable ΔGbind when coupled with the drugs Pemirolast (−5.8 kcal mol −1 ), Benserazide (−4.9 kcal mol −1 ) and Luteolin (−6.1 kcal mol −1 ). The results presented are as important as those of the aforementioned study, since the energy of interaction of the imidazolic alkaloids EPR, EPS, IPS and PS of Jaborandi with M pro ( Table 3 ) were very favourable to the receptor–ligand interaction.…”
Section: Resultsmentioning
confidence: 99%
“…In the Autodock, the Lamarckian genetic algorithm was used as a research parameter [ 48 ]. The size of the cubic box generated by AutoDocK Vina, in the region of the receptor interaction, was defined as 22.5 Å for each cartesian axis, the number of modes was set to 50, and the exhaustiveness to 24 [ 49 ]. The analysis of molecular docking was concentrated in the lower energy clusters, with the most stable conformation being chosen.…”
Section: Computational Detailsmentioning
confidence: 99%
“…novel drug molecules [8][9][10], repurposing of existing and FDA approved drugs [11][12][13], and design and development of vaccines [14]to treat and prevent the COVID-19. The time required for drug discovery programs to develop, evaluate, and obtain approval for a new potent anti-COVID-19 agent could take more than ten years.…”
Section: Introductionmentioning
confidence: 99%