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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of COVID19, a highly infectious disease that is severely affecting our society and welfare systems. In order to develop therapeutic interventions against this condition, one promising strategy is to target spike, the trimeric transmembrane glycoprotein that the virus uses to recognise and bind its host cells. Here we use a metainference cryo-electron microscopy approach to determine the opening pathway that brings spike from its inactive (closed) conformation to its active (open) one. The knowledge of the structures of the intermediate states of spike along these opening pathways enables us to identify a cryptic pocket that is not exposed in the open and closed states. We then identify compounds that bind the cryptic pocket by screening a library of repurposed drugs. These results underline the opportunities offered by the determination of the structures of the intermediate states populated during the dynamics of proteins to allow the therapeutic targeting of otherwise invisible cryptic binding sites.
34 Chemical Sciences, Coronaviruses, COVID-19, 3 Good Health and Well Being, Spike, Molecular Dynamics, Chemistry, Infectious Diseases, Emerging Infectious Diseases, Biodefense, CryoEM
34 Chemical Sciences, Coronaviruses, COVID-19, 3 Good Health and Well Being, Spike, Molecular Dynamics, Chemistry, Infectious Diseases, Emerging Infectious Diseases, Biodefense, CryoEM
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 29 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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