Author: O’Donoghue, Seán I; Schafferhans, Andrea; Sikta, Neblina; Stolte, Christian; Kaur, Sandeep; Ho, Bosco K; Anderson, Stuart; Procter, James B; Dallago, Christian; Bordin, Nicola; Adcock, Matt; Rost, Burkhard
Title: SARSâ€CoVâ€2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms Cord-id: bpufa4xg Document date: 2021_9_14
ID: bpufa4xg
Snippet: We modeled 3D structures of all SARSâ€CoVâ€2 proteins, generating 2,060 models that span 69% of the viral proteome and provide details not available elsewhere. We found that Ëœ6% of the proteome mimicked human proteins, while Ëœ7% was implicated in hijacking mechanisms that reverse postâ€translational modifications, block host translation, and disable host defenses; a further Ëœ29% selfâ€assembled into heteromeric states that provided insight into how the viral replication and translation co
Document: We modeled 3D structures of all SARSâ€CoVâ€2 proteins, generating 2,060 models that span 69% of the viral proteome and provide details not available elsewhere. We found that Ëœ6% of the proteome mimicked human proteins, while Ëœ7% was implicated in hijacking mechanisms that reverse postâ€translational modifications, block host translation, and disable host defenses; a further Ëœ29% selfâ€assembled into heteromeric states that provided insight into how the viral replication and translation complex forms. To make these 3D models more accessible, we devised a structural coverage map, a novel visualization method to show what is—and is not—known about the 3D structure of the viral proteome. We integrated the coverage map into an accompanying online resource (https://aquaria.ws/covid) that can be used to find and explore models corresponding to the 79 structural states identified in this work. The resulting Aquariaâ€COVID resource helps scientists use emerging structural data to understand the mechanisms underlying coronavirus infection and draws attention to the 31% of the viral proteome that remains structurally unknown or dark.
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