SARS-CoV-2 is a novel coronavirus responsible for the COVID-19 pandemic, in which acute respiratory infections are associated with high socio-economic burden. We applied high-content screening to a well-defined collection of 5632 compounds including 3488 that have undergone previous clinical investigations across 600 indications. The compounds were screened by microscopy for their ability to inhibit SARS-CoV-2 cytopathicity in the human epithelial colorectal adenocarcinoma cell line, Caco-2. The primary screen identified 258 hits that inhibited cytopathicity by more than 75%, most of which were not previously known to be active against SARS-CoV-2 in vitro . These compounds were tested in an eight-point dose response screen using the same image-based cytopathicity readout. For the 67 most active molecules, cytotoxicity data were generated to confirm activity against SARS-CoV-2. We verified the ability of known inhibitors camostat, nafamostat, lopinavir, mefloquine, papaverine and cetylpyridinium to reduce the cytopathic effects of SARS-CoV-2, providing confidence in the validity of the assay. The high-content screening data are suitable for reanalysis across numerous drug classes and indications and may yield additional insights into SARS-CoV-2 mechanisms and potential therapeutic strategies. Measurement(s) cytotoxicity • killing by virus of host cell Technology Type(s) bright-field microscopy Factor Type(s) concentration • incubation time Sample Characteristic – Organism Homo sapiens Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.13562570
【저자키워드】 viral infection, Drug screening, Small molecules, 【초록키워드】 SARS-CoV-2, COVID-19 pandemic, technology, cytotoxicity, in vitro, virus, Novel coronavirus, Microscopy, Metadata, Therapeutic strategies, Validity, Acute respiratory infection, inhibitor, epithelial, mechanism, Cytopathic effect, Concentration, Caco-2, host cell, Factor, indication, Compound, indications, dose response, cell line, clinical investigation, killing, responsible, tested, Sample, reported, inhibited, applied, screened, active against, reduce, Homo sapien, inhibit SARS-CoV-2, 【제목키워드】 SARS-CoV-2, dataset,