2022
DOI: 10.1111/cbdd.14187
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Combining computational and experimental evidence on the activity of antimalarial drugs on papain‐like protease of SARS‐CoV‐2: A repurposing study

Abstract: The development of inhibitors that target the papain‐like protease (PLpro) has the potential to counteract the spread of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), the agent causing coronavirus disease 2019 (COVID‐19). Based on a consideration of its several downstream effects, interfering with PLpro would both revert immune suppression exerted by the virus and inhibit viral replication. By following a repurposing strategy, the current study evaluates the potential of antimalarial drugs as P… Show more

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Cited by 4 publications
(5 citation statements)
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“…First, from the literature, we identified anti-coronavirus compounds with diverse mechanisms of action ( Table S1 ) to be used as references for similarity searching from a compound screening library with ~17 million molecules of bioactive compounds, natural products, and peptides [ 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 ]. Of the 62 reference molecules, thirteen ( Table S2 ) have been shown to inhibit at least one of two SARS-CoV-2 proteases [ 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 ]. Using three different molecular fingerprints, we identified 632,149 unique molecules that had similarity values greater than the mean plus three standard deviations (SDs) for all three of the molecular fingerprints.…”
Section: Resultsmentioning
confidence: 99%
“…First, from the literature, we identified anti-coronavirus compounds with diverse mechanisms of action ( Table S1 ) to be used as references for similarity searching from a compound screening library with ~17 million molecules of bioactive compounds, natural products, and peptides [ 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 ]. Of the 62 reference molecules, thirteen ( Table S2 ) have been shown to inhibit at least one of two SARS-CoV-2 proteases [ 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 ]. Using three different molecular fingerprints, we identified 632,149 unique molecules that had similarity values greater than the mean plus three standard deviations (SDs) for all three of the molecular fingerprints.…”
Section: Resultsmentioning
confidence: 99%
“…[ 111 ] Methods based on ARTS screening via computational approaches, including proteomics, transcriptomics, and bioinformatics strategies to identify drug candidates, should be considered. [ 61 ] From there, advanced docking techniques and high‐throughput selection, [ 2 ] targeting a specific pathogen and its metabolism, as well as the affected organs, may result in improved outcomes ( Figure 6 ). The COVID pandemic provided examples of the unfortunate consequences of repurposing drugs without sufficient attention to systematic evaluation of this kind – for example, the controversial use of hydroxychloroquine.…”
Section: Discussionmentioning
confidence: 99%
“…Overall, attempts at repurposing drugs (approved for human administration) or redirecting (not yet approved) against COVID‐19 have not been fruitful, possibly because of the small number of compounds tested using classical experimental approaches and the reliance on a limited set of factors that were used to predict the relevance of the drugs that were being considered. [ 67 ] To try to overcome these deficiencies, Ribaudo and colleagues [ 61 ] used computational methods to examine anti‐malarial drugs that may target the papain‐like protease (PLpro) of SARS‐CoV‐2. ARTS and amodiaquine were selected for further analysis by binding site profiling, induced‐fit docking, and molecular dynamics.…”
Section: Redirecting Artsmentioning
confidence: 99%
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“…The active sites of the viral targets were set as search spaces for targeted docking. Finally, 250 runs of molecular docking according to the Lamarckian genetic algorithm were performed for ligands that met the conditions of the first step of the docking protocol [ 63 ]. Discovery studio 4.5 was used for the 3D visualizations of the results, and LigPlot + V.2.2 was applied for the 2D presentations.…”
Section: Methodsmentioning
confidence: 99%