| Literature DB >> 33907519 |
Lei Wen1, Kaiming Tang1, Kenn Ka-Heng Chik1, Chris Chun-Yiu Chan1, Jessica Oi-Ling Tsang1, Ronghui Liang1, Jianli Cao1, Yaoqiang Huang1, Cuiting Luo1, Jian-Piao Cai1, Zi-Wei Ye1, Feifei Yin2,3,4, Hin Chu1, Dong-Yan Jin5, Kwok-Yung Yuen1,3,6, Shuofeng Yuan1, Jasper Fuk-Woo Chan6.
Abstract
The Coronavirus Disease 2019 (COVID-19) pandemic caused by the novel lineage B betacoroanvirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in significant mortality, morbidity, and socioeconomic disruptions worldwide. Effective antivirals are urgently needed for COVID-19. The main protease (Mpro) of SARS-CoV-2 is an attractive antiviral target because of its essential role in the cleavage of the viral polypeptide. In this study, we performed an in silico structure-based screening of a large chemical library to identify potential SARS-CoV-2 Mpro inhibitors. Among 8,820 compounds in the library, our screening identified trichostatin A, a histone deacetylase inhibitor and an antifungal compound, as an inhibitor of SARS-CoV-2 Mpro activity and replication. The half maximal effective concentration of trichostatin A against SARS-CoV-2 replication was 1.5 to 2.7µM, which was markedly below its 50% effective cytotoxic concentration (75.7µM) and peak serum concentration (132µM). Further drug compound optimization to develop more stable analogues with longer half-lives should be performed. This structure-based drug discovery platform should facilitate the identification of additional enzyme inhibitors of SARS-CoV-2. © The author(s).Entities:
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Year: 2021 PMID: 33907519 PMCID: PMC8071767 DOI: 10.7150/ijbs.59191
Source DB: PubMed Journal: Int J Biol Sci ISSN: 1449-2288 Impact factor: 6.580
Figure 1Overview of the structure-based covalent docking virtual screening workflow. (A) Small molecules in DrugBank database (8,820 compounds) were pre-filtered for covalent docking (Michael acceptor and β-lactam family). Potential binding pockets were predicted for SARS-CoV-2 Mpro. Then each compound (177 candidates) was docked against binding pocket with CovalentDock. Binding poses (102 compounds) were manually inspected for downstream experimental validation based on certain criteria including relative binding affinity, ligand efficiency, hydrogen bond and hydrophobic contacts etc. (B) Scatter plot showing the distribution of CovalentDock and SLIDE scores of 177 docked poses. Five selected compounds were highlighted in red.
Figure 2Inhibition of the cleavage activity of SARS-CoV-2 M Titration of the protease activity of SARS-CoV-2 Mpro by (A) GC376 (positive control) and (B) trichostatin A at various concentrations as indicated by a fluorescence resonance energy transfer-based assay. The data were expressed as a percentage of the control reaction in the absence of inhibitors. Dose-response curves for half maximal inhibitory concentration (IC50) values were determined by nonlinear regression. The mean value of three replicates was shown and error bars indicated ±SD of n=3 independent replicates. All the experiments were repeated twice for confirmation.
Figure 3Antiviral activity of trichostatin A against SARS-CoV-2. (A) Cytotoxicity of trichostatin A in Caco-2 cells as determined by measuring the cellular ATP activity (CellTiter-Glo assay, 48h post drug treatment). (B) Multi-cycle virus growth assay in the presence or absence of trichostatin A. Caco-2 cells were infected with SARS-CoV-2 (MOI=0.01). Viral titers in cell culture supernatants were quantified by quantitative RT-PCR assay at 48hpi. Groups were analysed by One-way ANOVA when compared with the non-treated group (0µM). Remdesivir was included as a positive control. (C) Western blot showed reduced SARS-CoV-2 nucleocapsid protein production after trichostatin A treatment. Caco-2 cells with different treatments as indicated were infected with SARS-CoV-2 (MOI=0.1) and lysed at 24hpi. (D) Immunofluorescence staining of the SARS-CoV-2 nucleoprotein protein (green) and cell nucleus (blue). Fixation and staining were performed after trichostatin A (10µM) was used to treat SARS-CoV-2-infected (MOI=0.1) VeroE6 cells for 24h. (E) Plaque reduction assay showing the dose-dependent live SARS-CoV-2 reduction after trichostatin A treatment on VeroE6 cells. (F) Time-of-drug-addition assay. The upper panel depicts the scheme of experimental design; lower panel shows the viral titer collected in the cell culture supernatant and normalized by DMSO as a control. The experiments were performed in triplicate and replicated twice. The results are shown as mean± SD. * indicated P<0.05 and ** indicated P<0.01 (Student's t-test).
Figure 4Trichostatin A binds to the surface groove of SARS-CoV-2 M (A) Trichostatin A is predicted to be embedded in the Mpro catalytic groove with good shape complementarity. (B) The cartoon and stick representation of binding mode of trichostatin A: the hydrogen bonds between trichostatin A and LEU-141 or HIS-163 were marked by yellow dashed lines. The C-S bond between trichostatin A and CYS-145 was also indicated (arrow). (C) Illustration of the covalent reaction between trichostatin A and CYS-145 thiol.