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Kelly, Jamie A.; Olson, Alexandra N.; Neupane, Krishna; Munshi, Sneha; San Emeterio, Josue; Pollack, Lois; Woodside, Michael T.; Dinman, Jonathan D. (, Journal of Biological Chemistry)About 17 years after the severe acute respiratory syndrome coronavirus (SARS-CoV) epidemic, the world is currently facing the COVID-19 pandemic caused by SARS coronavirus 2 (SARS-CoV-2). According to the most optimistic projections, it will take more than a year to develop a vaccine, so the best short-term strategy may lie in identifying virus-specific targets for small molecule–based interventions. All coronaviruses utilize a molecular mechanism called programmed −1 ribosomal frameshift (−1 PRF) to control the relative expression of their proteins. Previous analyses of SARS-CoV have revealed that it employs a structurally unique three-stemmed mRNA pseudoknot that stimulates high −1 PRF rates and that it also harbors a −1 PRF attenuation element. Altering −1 PRF activity impairs virus replication, suggesting that this activity may be therapeutically targeted. Here, we comparatively analyzed the SARS-CoV and SARS-CoV-2 frameshift signals. Structural and functional analyses revealed that both elements promote similar −1 PRF rates and that silent coding mutations in the slippery sites and in all three stems of the pseudoknot strongly ablate −1 PRF activity. We noted that the upstream attenuator hairpin activity is also functionally retained in both viruses, despite differences in the primary sequence in this region. Small-angle X-ray scattering analyses indicated that the pseudoknots in SARS-CoV and SARS-CoV-2 have the same conformation. Finally, a small molecule previously shown to bind the SARS-CoV pseudoknot and inhibit −1 PRF was similarly effective against −1 PRF in SARS-CoV-2, suggesting that such frameshift inhibitors may be promising lead compounds to combat the current COVID-19 pandemic.more » « less
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Rolband, Lewis; Beasock, Damian; Wang, Yang; Shu, Yao-Gen; Dinman, Jonathan D.; Schlick, Tamar; Zhou, Yaoqi; Kieft, Jeffrey S.; Chen, Shi-Jie; Bussi, Giovanni; et al (, Computational and Structural Biotechnology Journal)
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