Arrayed multicycle drug screens identify broadly acting chemical inhibitors for repurposing against SARS CoV 2
Murer, L. P.; Volle, R.; Andriasyan, V.; Meili, N.; Yang, L.; Sequeira, D.; Gomez-Gonzalez, A.; Petkidis, A.; Olszewski, D.; Bauer, M.; Suomalainen, M.; Kuttler, F.; Turcatti, G.; Greber, U. F.
Show abstract
Coronaviruses (CoVs) circulate in humans and animals, and expand their host range by zoonotic and anthroponotic transmissions. Endemic human CoVs, such as 229E and OC43 cause limited respiratory disease, and elicit short term anti-viral immunity favoring recurrent infections. Yet, severe acute respir-atory syndrome (SARS)-CoV-2 spreads across the globe with unprecedented impact on societies and economics. The world lacks broadly effective and affordable anti-viral agents to fight the pandemic and reduce the death toll. Here, we developed an image-based multicycle replication assay for focus for-mation of -coronavirus hCoV-229E-eGFP infected cells for screening with a chemical library of 5440 compounds arrayed in 384 well format. The library contained about 39% clinically used compounds, 26% in phase I, II or III clinical trials, and 34% in preclinical development. Hits were counter-selected against toxicity, and challenged with hCoV-OC43 and SARS-CoV-2 in tissue culture and human bronchial and nasal epithelial explant cultures from healthy donors. Fifty three compounds inhibited hCoV-229E-GFP, 39 of which at 50% effective concentrations (EC50) < 2M, and were at least 2-fold separated from toxicity. Thirty nine of the 53 compounds inhibited the replication of hCoV-OC43, while SARS-CoV-2 was inhibited by 11 compounds in at least two of four tested cell lines. Six of the 11 compounds are FDA-approved, one of which is used in mouth wash formulations, and five are systemic and orally available. Here, we demonstrate that methylene blue (MB) and mycophenolic acid (MPA), two broadly available low cost compounds, strongly inhibited shedding of infectious SARS-CoV-2 at the apical side of the cultures, in either pre- or post-exposure regimens, with somewhat weaker effects on viral RNA release indicated by RT-qPCR measurements. Our study illustrates the power of full cycle screens in repurposing clinical compounds against SARS-CoV-2. Importantly, both MB and MPA reportedly act as immunosuppressants, making them interesting candidates to counteract the cytokine storms affecting COVID-19 patients.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Combinations of approved oral nucleoside analogues confer potent suppression of alphaviruses in vitro and in vivo 95%
- Identification of novel Ebola virus inhibitors using biologically contained virus 95%
- The rocaglate CR-31-B (-) inhibits SARS-CoV-2 replication at non-cytotoxic, low nanomolar concentrations in vitro and ex vivo 95%
Similar papers in this journal
- Screening a library of FDA-approved and bioactive compounds for antiviral activity against SARS-CoV-2 98%
- Small-Molecule In Vitro Inhibitors of the Coronavirus Spike - ACE2 Protein-Protein Interaction as Blockers of Viral Attachment and Entry for SARS-CoV-2 96%
- Challenges for targeting SARS-CoV-2 proteases as a therapeutic strategy for COVID-19 95%
Similar papers in this journal
- Selective estrogen receptor modulators limit alphavirus infection by targeting the viral capping enzyme nsP1 96%
- Epigenetic compound screening uncovers small molecules for re-activation of latent HIV-1 96%
- Hepatitis C Virus Protease Inhibitors Show Differential Efficacy and Interactions with Remdesivir for Treatment of SARS-CoV-2 in Vitro 96%
Similar papers in this journal
Similar papers in this journal
- Pre-clinical evaluation of antiviral activity of nitazoxanide against Sars-CoV-2 96%
- Camostat mesylate inhibits SARS-CoV-2 activation by TMPRSS2-related proteases and its metabolite GBPA exerts antiviral activity 96%
- The combined treatment of Molnupiravir and Favipiravir results in a marked potentiation of antiviral efficacy in a SARS-CoV-2 hamster infection model 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.